Image Motion Analysis

Bibliography compiled by Laurenz Wiskott in context of
the research project Segmentation from motion


Scope: This bibliography contains references to algorithms for motion analysis based on optical flow.

Support level: Low - 1999. This bibliography is not well supported. It contains references to papers I happened to have and references I came across while maintaining other bibliographies.

Publication types: Journal articles only. To keep effort low and quality high, I have confined this bibliography to journal articles only. Red titles indicate survey articles.

Online papers: An 'A' or 'P' (or 'T' for text only) after a reference link indicates that it leads to an abstract or full paper, respectively. Upper case letters refer to online documents provided by a journal, which might be accessible only to subscribers (indicated by a '?'). Lower case letters refer to online documents provided by an author. Also the links at the end of the references are differentiated in this way by upper and lower case letters at the beginning of the words 'abstract.html' etc. and by a '?', if the corresponding document is only accessible to subscribers. The site location is indicated by a preceding .uk, .com, etc.

BibTeX: A bibtex file for the journal article references is also available (compressed and uncompressed).

Feedback: Please feel free to send me any kind of feedback about this bibliography.

Related Resources

References

261 references, 12 (4%) abstracts online, 8 (3%) papers online.
1. Adiv85.
Adiv, G. (1985).
Determining Three-Dimensional Motion and Structure from Optical Flow Generated by Several Moving Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence, 7(4):384-401.

2. Adiv89.
Adiv, G. (1989).
Determining three-dimensional motion structure from optic flow generated by several moving objects
IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(5):477-489.

3. AggaCaiLiao+98.
Aggarwal, J.K., Cai, Q., Liao, W., and Sabata, B. (May 1998).
Nonrigid Motion Analysis: Articulated and Elastic Motion
Computer Vision and Image Understanding, 70(2):142-156.

4. AggaDuda75.
Aggarwal, J.K. and Duda, R.O. (1975).
Computer Analysis of Moving Polygonal Images
IEEE Transactions on Computers, 24(10):966-976.

5. AggaNand88.
Aggarwal, J.K. and Nandhakumar, N. (1988).
On the computation of motion from sequences of images - A review
Proceedings of the IEEE, 76(8):917-935.

6. AncoPogg95.
Ancona, N. and Poggio, T. (1995).
Optical flow from 1-D correlation: application to a simple time-to-crash detector
International Journal of Computer Vision, 14(2):131-146.

7. ArgyTrahOrph98.
Argyros, A.A., Trahanias, P.E., and Orphanoudakis, S.C. (April 1998).
Robust Regression for the Detection of Independent 3D Motion by a Binocular Observer
Real-Time Imaging, 4(2):125-141.

8. AsadTsuj83.
Asada, M. and Tsuji, S. (1983).
Representation of three-dimensional motion in dynamic scenes
Computer Vision, Graphics and Image Processing, 21:118-144.

9. AzarPent94.
Azarbayejani, A. and Pentland, A.P. (1994).
Recursive Estimation of Motion, Structure, and Focal Length
IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(6):545-561.

10. AzarStarHoro+93.
Azarbayejani, A., Starner, T., Horowitz, B., and Pentland, A.P. (June 1993).
Visually Controlled Graphics
IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(6):602-605.

11. BakuKuznLozi+92.
Bakut, P.A., Kuznetsov, M.V., Lozin, K.R., and Ryakhin, A.D. (1992).
Three-dimensional surface structure reconstruction from optic flow, produced by rotation of rigid body
Optoelectronics, Instrumentation and Data Processing, (1):64-66.

12. BallKimb83
Ballard, D.H. and Kimball, O.A. (April 1983).
Rigid Body Motion from Depth and Optical Flow
Computer Vision, Graphics and Image Processing, 22(1):95-115.

13. Barn92a.
Barniv, Y. (1992 a).
Application of velocity filtering to optical-flow passive ranging
IEEE Transactions on Aerospace and Electronic Systems, 28(4):957-969.

14. Barn92b.
Barniv, Y. (1992 b).
Error analysis of combined optical-flow and stereo passive ranging
IEEE Transactions on Aerospace and Electronic Systems, 28(4):978-989.

15. BarrLipt94.
Barron, J.L. and Liptay, A. (1994).
Optical flow to measure minute increments in plant growth
Bioimaging, 2(1):57-61.

16. BearZissMurr97.
Beardsley, P.A., Zisserman, A.P., and Murray, D.W. (1997).
Projective and Affine Structure from Motion Recovery
International Journal of Computer Vision, 13(3):437-442 .

17. Berg88.
Bergholm, F. (1988).
Motion from flow along contour: A note on robustness and ambiguous cases
International Journal of Computer Vision, 3:395-415.

18. BergCarl91.
Bergholm, F. and Carlsson, S. (March 1991).
A theory of optical flow
Computer Vision, Graphics and Image Processing: Image Understanding, 53(2):171-188.

19. Beus93.
Beusmans, J.M.H. (1993).
Computing the direction of heading from affine image flow
Biological Cybernetics, 70(2):123-136.

20. BollBakeMari87.
Bolles, R.C., Baker, H.H., and Marimont, D.H. (1987).
Epipolar-Plane Image Analysis: An Approach to Determining Structure from Motion
International Journal of Computer Vision, 1(1):7-55.

21. BoutLala93.
Bouthemy, P. and Lalande, P. (June 1993).
Recovery of moving object masks in an image sequence using local spatiotemporal contextual information
Optical Engineering, 32(6):1205-1212.

22. BozdTekaOnur94a.
Bozdagi, G., Tekalp, A.M., and Onural, L. (June 1994 a).
3-D Motion Estimation and Wireframe Model Adaptation Including Photometric Effects for Model-Based Coding of Facial Image Sequences
IEEE Transactions on Circuits and Systems for Video Technology, 4(3):246-257.

23. BozdTekaOnur94b.
Bozdagi, G., Tekalp, A.M., and Onural, L. (September 1994 b).
An Improvement to MBASIC Algorithm for 3-D Motion and Depth Estimation
IEEE Transactions on Image Processing, 3(5):711-717.

24. BradReidMurr97.
Bradshaw, K.J., Reid, I.R., and Murray, D.W. (March 1997).
The active recovery of 3D motion trajectories and their use in prediction
IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(3):219-234.

25. BroiChel86
Broida, T.J. and Chellappa, R. (1986).
Estimation of Object Motion Parameters from Noisy Images
IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(1):90-99.

26. BroiChel89.
Broida, T.J. and Chellappa, R. (1989).
Uniqueness and Performance Measure Results for 3-D Motion Estimation from a Monocular Sequence of Noisy Images
J. of the Optical Society of America, 6:879-889.

27. BrooChojBaum97.
Brooks, M.J., Chojnacki, W., and Baumela, L. (1997).
Determining the egomotion of an uncalibrated camera from instantaneous optical flow
J. of the Optical Society of America A, 14(10):2670-2677.

28. BrusHorn83.
Bruss, A.R. and Horn, B.K.P. (1983).
Passive Navigation
Computer Vision, Graphics and Image Processing, 21(1):3-20.

29. BuxtBuxt83a.
Buxton, B.F. and Buxton, H. (1983 a).
Monocular Depth Perception from Optical Flow by Space Time Signal Processing
Proceedings of the Royal Society of London, Series B, 218:27-47.

30. BuxtBuxtMurr+85a.
Buxton, B.F., Buxton, H., Murray, D.W., and Williams, N.S. (1985 a).
Machine perception of visual motion
GEC Journal of Research, 3(3):145-161.

31. BuxtBuxtMurr+85b.
Buxton, B.F., Buxton, H., Murray, D.W., and Williams, N.S. (1985 b).
Structure from Motion Algorithms for Computer Vision on an SIMD Architecture
Computer Physics Communications, 37:273-280.

32. CameGrosGuen98.
Cameron, S., Grossberg, S., and Guenther, F.H. (15. February 1998).
A Self-Organizing Neural Network Architecture for Navigation Using Optic Flow
Neural Computation, 10(2):313-352.

33. CampVerr92
Campani, M. and Verri, A. (1992).
Motion analysis from first-order properties of optical flow
Computer Vision, Graphics and Image Processing: Image Understanding, 56(1):90-107.

34. CappMecoDBimb93
Cappellini, V., Mecocci, A., and Del Bimbo, A. (1993).
Motion analysis and representation in computer vision
Journal of Circuits, Systems and Computers, 3(4):797-831.

35. CastMurrScot+88:
Castelow, D.A., Murray, D.W., Scott, G.L., and Buxton, B.F. (1988).
Matching Canny edgels to compute the principal components of optic flow
Image and Vision Computing, 6(2):129-136.

36. CédrShah95.
Cédras, C. and Shah, M.A. (March 1995).
Motion Based Recognition: A Survey
Image and Vision Computing, 13(2):129-155.

37. ChauBoukBout+96.
Chaumette, F., Boukir, S., Bouthemy, P., and Juvin, D. (May 1996).
Structure from controlled motion
IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(5):492-504.

38. ChenHuan90
Chen, H.H. and Huang, T.S. (1990).
Matching 3-D line segments with applications to multiple-object motion estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(10):1002-1008.

39. ChenShirAsad93
Chen, H.J., Shirai, Y., and Asada, M. (1993).
Detecting multiple rigid image motions from an optical flow field obtained with multi-scale, multi-orientation filters
IEICE Transactions on Information and Systems (D), E76-D(10):1253-1262.

40. ChihCaim97.
Chih-Ho, Y. and Caimi, F.M. (1997).
Determination of horizontal motion through optical flow computations
Journal of Computer Science and Technology, 12(2):133-144.

41. ChoPark99.
Cho, D.S. and Park, R.H. (1999).
Object-based very low bit-rate coding using motion parameter estimation based on multiple frame prediction
Journal of Visual Communication and Image Representation, 10.

42. ChowAgga77.
Chow, W.K. and Aggarwal, J.K. (1977).
Computer Analysis of Planar Curvilinear Moving Images
IEEE Transactions on Computers, 26(2):179-185.

43. Cloc80.
Clocksin, W.F. (1980).
Perception of Surface Slant and Edge Labels from Optical Flow: A Computational Approach
Perception, 9:253-269.

44. CsurZellZhan+97.
Csurka, G., Zeller, C., Zhang, Z., and Faugeras, O.D. (October 1997).
Characterizing the Uncertainty of the Fundamental Matrix
Computer Vision and Image Understanding, 68(1):18-36.

45. DVitoTsot96.
Da Vitoria Lobo, N. and Tsotsos, J.K. (June 1996).
Computing Egomotion and Detecting Independent Motion from Image Motion Using Collinear Points
Computer Vision and Image Understanding, 64(1):21-52.

46. DMichTorrUras93.
De Micheli, E., Torre, V., and Uras, S. (1993).
The accuracy of the computation of optical flow and of the recovery of motion parameters
IEEE Transactions on Pattern Analysis and Machine Intelligence, 15:434-447.

47. DijkSnoeGiel94.
Dijkstra, T.M.H., Snoeren, P.R., and Gielen, C.C.A.M. (1994).
Extraction of three-dimensional shape from optic flow: a geometric approach
J. of the Optical Society of America A, 11(8):2184-2196.

48. DresNage82.
Dreschler, L. and Nagel, H.H. (1982).
Volumetric Model and 3D Trajectory of a Moving Car Derived from Monocular TV Frame Sequences of a Street Scene
Computer Vision, Graphics and Image Processing, 20:199-228.

49. DugeSans95.
Dugelay, J.L. and Sanson, H. (1995).
Differential methods for the identification of 2D and 3D motion models in image sequences
Signal Processing: Image Communication, 7:105-127.

50. DvorKongSori92.
Dvornychenko, V.N., Kong, M.S., and Soria, S.M. (1992).
Mission parameters derived from optical flow
Journal of Mathematical Imaging and Vision, 2(1):27-38.

51. EarnBlos96.
Earnshaw, A.M. and Blostein, S.D. (September 1996).
The performance of camera translation direction estimators from optical flow: analysis, comparison, and theoretical limits
IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(9):927-932.

52. EarnBlos98.
Earnshaw, A.M. and Blostein, S.D. (January 1998).
A Perturbation Analysis and Performance Bound for the Estimation of 3-D Camera Translation Direction
Canadian Journal of Electrical and Computer Engineering, 23(1/2):25-37.

53. EndoToriTaga94.
Endoh, T., Toriu, T., and Tagawa, N. (1994).
A superior estimator to the maximum likelihood estimator on 3-D motion estimation from noisy optical flow
IEICE Transactions on Information and Systems (D), E77-D(11):1240-1246.

54. Enke91.
Enkelmann, W. (1991).
Obstacle detection by evaluation of optical flow fields from image sequences
Image and Vision Computing, 9(3):160-168.

55. FangHuan84.
Fang, J.Q. and Huang, T.S. (1984).
Some experiments on estimating the 3-D motion parameters of a rigid body from two consecutive image frames
IEEE Transactions on Pattern Analysis and Machine Intelligence, 6:545-554.

56. FaugPapa93.
Faugeras, O.D. and Papadopoulo, T. (1993).
A Theory of the Motion Fields of Curves
International Journal of Computer Vision, 10(2):125-156.
(.fr-paper.ps.gz)

57. FaugRobeLave+98.
Faugeras, O.D., Robert, L., Laveau, S., Csurka, G., Zeller, C., Gauclin, C., and Zoghlami, I. (1. March 1998).
3-D Reconstruction of Urban Scenes from Image Sequences
Computer Vision, Graphics and Image Processing: Image Understanding, 69(3):292-309.
(.fr-text.ps.gz, .fr-figures.ps.gz, .fr-paper.ps.gz)

58. FlinChan81.
Flinchbaugh, B.E. and Chandrasekaran, B. (1. August 1981).
A Theory of Spatio-Temporal Aggregation for Vision
Artificial Intelligence, 17(1-3):387-407.

59. FranBout90.
François, E. and Bouthemy, P. (November 1990).
Derivation of Qualitative Information in Motion Analysis
Image Vis. Comput. J., 8(4):279-287.

60. GiacTorr96.
Giachetti, A. and Torre, V. (1996).
The use of optical flow for the analysis of non-rigid motions
International Journal of Computer Vision, 18(3):255-279.

61. GohMart94.
Goh, W.B. and Martin, G.R. (May 1994).
Model-Based Multiresolution Motion Estimation in Noisy Images
Computer Vision, Graphics and Image Processing: Image Understanding, 59(3):307-319.

62. GramMalaTzov+95.
Grammalidis, N., Malassiotis, S., Tzovaras, D., and Strintzis, M.G. (11. August 1995).
Stereo image sequence coding based on three-dimensional motion estimation and compensation
Signal Processing: Image Communication, 7(2):129-145.

63. GuShirAsad95
Gu, H., Shirai, Y., and Asada, M. (1995).
Motion description and segmentation of multiple moving objects in a long image sequence
IEICE Transactions on Information and Systems (D), E78-D(3):277-289.

64. GuShirAsad96
Gu, H., Shirai, Y., and Asada, M. (January 1996).
MDL-based segmentation and motion modeling in a long image sequence of scene with multiple independently moving objects
IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(1):58-64.

65. GuptKana95.
Gupta, N.C. and Kanal, L.N. (30. November 1995).
3-D Motion Estimation from Motion Field
Artificial Intelligence, 78(1/2):45-86.

66. HadaIshaGur80.
Hadani, I., Ishai, G., and Gur, G. (1980).
Visual Stability and Space Perception in Monocular Perception: Mathematical Model
J. of the Optical Society of America, 70:60-65.

67. HaraJooLee+89.
Haralick, R.M., Joo, H., Lee, C.N., Zhuang, X., Vaidya, V.G., and Kim, M.B. (1989).
Pose estimation from corresponding point data
IEEE Transactions on Systems, Man and Cybernetics, 19:1426-1446.

68. HaraZhua86.
Haralick, R.M. and Zhuang, X. (June 1986).
A note on 'Rigid body motion from depth and optical flow'
Computer Vision, Graphics and Image Processing, 34(3):372-387.

69. HeegJeps92.
Heeger, D.J. and Jepson, A.D. (1992).
Subspace Methods for Recovering Rigid Motion I: Algorithm and Implementation
International Journal of Computer Vision, 7(2):95-117.

70. Heik95.
Heikkonen, J. (1. September 1995).
Recovering 3D motion parameters from optical flow field using randomized Hough transform
Pattern Recognition Letters, 16(9):971-978.

71. HoltNetr93.
Holt, R. and Netravali, A.N. (1993).
Motion from optic flow: multiplicity of solutions
Journal of Visual Communication and Image Representation, 4(1):14-24.

72. Horn87
Horn, B.K.P. (1987).
Motion Fields are Hardly Ever Ambiguous
International Journal of Computer Vision, 1(3):239-258.

73. HornWeld88
Horn, B.K.P. and Weldon, E.J.J. (1988).
Direct Methods for Recovering Motion
International Journal of Computer Vision, 2(1):51-76.

74. HuanLee89.
Huang, T.S. and Lee, C.B. (1989).
Motion and Structure from Orthographic Projections
IEEE Transactions on Pattern Analysis and Machine Intelligence, 11:536-540.

75. HuanNetr94.
Huang, T.S. and Netravali, A.N. (1994).
Motion and Structure from Feature Correspondences: A Review
Proceedings of the IEEE, 82(2):252-268.

76. HuanPalaZhua+95
Huang, Y., Palaniappan, K., Zhuang, X., and Cavanaugh, J.E. (December 1995).
Optic flow field segmentation and motion estimation using a robust genetic partitioning algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(12):1177-1190.

77. HummSund93.
Hummel, R. and Sundareswaran, V. (1. May 1993).
Motion parameter estimation from global flow field data
IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(5):459-476.

78. IranPele93.
Irani, M. and Peleg, S. (December 1993).
Motion Analysis for Image Enhancement: Resolution, Occlusion, and Transparency
Journal of Visual Communication and Image Representation, 4(4):324-335.
(.il-abstract.html, .il-paper.ps.Z, .il-paper.ps.gz)

79. IranRousPele97.
Irani, M., Rousso, B., and Peleg, S. (March 1997).
Recovery of Ego-Motion Using Region Alignment
IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(3):268-272.
(-abstract, .il-abstract.html, -paper, .il-paper.ps.Z, .il-paper.pdf)

80. IuWohn91.
Iu, S.L. and Wohn, K.Y. (1991).
Recovery of 3-D motion of a single particle
Pattern Recognition, 24(3):241-252.

81. JacoWech82.
Jacobson, L. and Wechsler, H. (1982).
A paradigm for invariant object recognition of brightness, optical flow and binocular disparity images
Pattern Recognition Letters, 1(1):61-68.

82. JacoChieSela80.
Jacobus, C.J., Chien, R.T., and Selander, J.M. (1980).
Motion detection and analysis by matching graphs of intermediate-level primitives
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2(6):495-510.

83. Jain81b
Jain, R.C. (1981 b).
Dynamic Scene Analysis Using Pixel-Based Processes
Computer, 14(8):12-18.

84. Jain83.
Jain, R.C. (1983).
Direct Computation of the Focus of Expansion
IEEE Transactions on Pattern Analysis and Machine Intelligence, 5(1):58-64.

85. Jain84b:
Jain, R.C. (1984 b).
Difference and accumulative difference pictures in dynamic scene analysis
Image and Vision Computing, 2(2):99-108.

86. JainNage79
Jain, R.C. and Nagel, H.H. (1979).
On the analysis of accumulative difference pictures from image sequences of real world scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1(2):206-214.

87. JayaJain83.
Jayaramamurthy, S.N. and Jain, R.C. (February 1983).
Approach to the Segmentation of Textured Dynamic Scenes
Computer Vision, Graphics and Image Processing, 21(2):239-261.

88. JeriJain84
Jerian, C. and Jain, R.C. (1984).
Determining Motion Parameters for Scenes with Translation and Rotation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 6(4):523-530.

89. Joha73.
Johansson, G. (1973).
Visual Perception of Biological Motion and a Model for its Analysis
Perception and Psychophysics, 14:201-211.

90. JungWohn97a.
Jung, S.K. and Wohn, K.Y. (October 1997 a).
3-D tracking and motion estimation using hierarchical Kalman filter
IEE Proceedings on Vision, Image and Signal Processing, 144(5):293-298.

91. JungWohn97b.
Jung, S.K. and Wohn, K.Y. (December 1997 b).
Tracking and motion estimation of the articulated object : A hierarchical Kalman filter approach
Real-Time Imaging, 3(6):415-432.

92. JungWohn98.
Jung, S.K. and Wohn, K.Y. (29. April 1998).
A model-based 3D tracking of rigid objects from a sequence of multiple perspective view
Pattern Recognition Letters, 19(5/6):499-512.

93. KagoMiik90.
Kago, K. and Miike, H. (1990).
Optical flow analysis based on spatio-temporal correlation of dynamic image
Systems and Computers in Japan, 21(4):96-108.

94. Kana84.
Kanatani, K. (1. July 1984).
Detection of Surface Orientation and Motion from Texture by a Stereo-Logical Technique
Artificial Intelligence, 23(2):213-237.

95. Kana85b.
Kanatani, K. (1985 b).
Detecting the Motion of a Planar Surface by Line and Surface Integrals
Computer Vision, Graphics and Image Processing, 29(1):13-22.

96. Kana86.
Kanatani, K. (August 1986).
Structure and motion from optical flow under orthographic projection
Computer Vision, Graphics and Image Processing, 35(2):181-199.

97. Kana87.
Kanatani, K. (May 1987).
Structure and motion from optical flow under perspective projection
Computer Vision, Graphics and Image Processing, 38(2):122-146.

98. Kana88.
Kanatani, K. (March 1988).
Transformation of optical flow by camera rotation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 10(2):131-143.

99. Kana93.
Kanatani, K. (1993).
3-D interpretation of optical flow by renormalization
International Journal of Computer Vision, 11(3):267-282.

100. KappTPasKoen+96b.
Kappers, A.M.L., te Pas, S.F., Koenderink, J.J., and van Doorn, A.J (1996 b).
Detection of divergence in optical flow fields
J. of the Optical Society of America A, 13(2):227-235.

101. KappVDoorKoen94.
Kappers, A.M.L., van Doorn, A.J, and Koenderink, J.J. (1994).
Detection of vorticity in optical flow fields
J. of the Optical Society of America A, 11(1):48-54.

102. KawaSugiSugi89.
Kawamura, A., Sugie, N., and Sugihara, K. (1989).
Recovery of nonrigid curvilinear objects using optical flow
Systems and Computers in Japan, 20(3):47-57.

103. KellKais95.
Kellman, P.J. and Kaiser, M.K. (1995).
Extracting object motion during observer motion: combining constraints from optic flow and binocular disparity
J. of the Optical Society of America A, 12(3):623-625.

104. KimAgga87.
Kim, Y.C. and Aggarwal, J.K. (1987).
Determining object motion in a sequence of stereo images
IEEE Transactions on Robotics and Automation, 3(6):599-614.

105. Koch93.
Koch, R. (1993).
Automatic reconstruction of buildings from stereoscopic image sequences
Computer Graphics Forum, 12(3):C339-C350.

106. KoenVDoor75.
Koenderink, J.J. and van Doorn, A.J (1975).
Invariant Properties of the Motion Parallax Field Due to the Movement of Rigid Bodies Relative to an Observer
Optica Acta, 22(9):773-791.

107. KoenVDoor87.
Koenderink, J.J. and van Doorn, A.J (1987).
Facts on optic flow
Biological Cybernetics, 56(4):247-254.

108. KoenVDoor91.
Koenderink, J.J. and van Doorn, A.J (1991).
Affine structure from motion
J. of the Optical Society of America A, 8(2):377-385.

109. KoenVDoor92.
Koenderink, J.J. and van Doorn, A.J (1992).
Second-order optic flow
J. of the Optical Society of America A, 9(4):530-538.

110. KompTzovStri98a.
Kompatsiaris, I., Tzovaras, D., and Strintzis, M.G. (6. November 1998 a).
Flexible 3D Motion Estimation and Tracking for Multiview Image Sequence Coding
Signal Processing: Image Communication, 14(1/2):95-110.

111. LappRaus93.
Lappe, M. and Rauschecker, J.P. (1993).
A Neural Network for the Processing of Optic Flow from Ego-Motion in Man and Higher Mammals
Neural Computation, 5(3):374-391.

112. Lee80.
Lee, D.N. (1980).
The optic flow field: The foundation of vision
Philosophical Transactions of the Royal Society of London, Series B, B290:169-179.

113. LiuHuan88.
Liu, Y. and Huang, T.S. (1988).
A linear algorithm for determining motion and structure from line correspondences
Computer Vision, Graphics and Image Processing, 44(1):35-57.

114. LiuHuan93.
Liu, Y. and Huang, T.S. (1993).
Vehicle-type motion estimation from multi-frame images
IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(8):802-808.

115. Long81.
Longuet-Higgins, H.C. (1981).
A Computer Algorithm for Reconstructing a Scene from Two Projections
Nature, 293:133-135.

116. Long84.
Longuet-Higgins, H.C. (1984).
The Visual Ambiguity of a Moving Plane
Proceedings of the Royal Society of London, Series B, 223:165-175.

117. LongPraz80.
Longuet-Higgins, H.C. and Prazdny, K. (1980).
The interpretation of a moving retinal image
Proceedings of the Royal Society of London, Series B, 208:385-397.

118. LuoMull89.
Luo, R.C. and Mullen, R.E.J. (1989).
A modified optical flow approach for robotic tracking and acquisition
Journal of Robotic Systems, 6(5):489-508.

119. LuonFaug97.
Luong, Q.T. and Faugeras, O.D. (1997).
Camera Calibration, Scene Motion and Structure recovery from point correspondences and Fundamental matrices
International Journal of Computer Vision, 22(3):261-289.
(.fr-paper.ps.gz)

120. MalaStri97a.
Malassiotis, S. and Strintzis, M.G. (January 1997 a).
Model Based Joint Motion and Structure Estimation From Stereo Images
Computer Vision and Image Understanding, 65(1):79-94.

121. MallBultLitt+91.
Mallot, H.A., Bülthoff, H.H., Little, J.J., and Bohrer, S. (1991).
Inverse perspective mapping simplifies optical flow computation and obstacle detection
Biological Cybernetics, 64(3):177-185.

122. MarrUllm81.
Marr, D. and Ullman, S. (1981).
Directional Selectivity and its Use in Early Visual Processing
Proceedings of the Royal Society of London, Series B, 211:151-180.

123. MartAgga78.
Martin, W.N. and Aggarwal, J.K. (1978).
Dynamic Scene Analysis
Computer Graphics and Image Processing, 7(3):356-374.

124. MartAgga79
Martin, W.N. and Aggarwal, J.K. (1979).
Computer analysis of dynamic scenes containing curvilinear figures
Pattern Recognition, 11(3):169-178.

125. Mase91.
Mase, K. (October 1991).
Recognition of facial expression from optical flow
IEICE Transactions on Communications (B), E-74(10):3474-3483.

126. MattSzelKana89.
Matthies, L., Szelisky, R., and Kanade, T. (1989).
Kalman Filter-Based Algorithms for Estimating Depth from Image Sequences
International Journal of Computer Vision, 3(3):209-238.

127. Mayb86a.
Maybank, S.J. (1986 a).
Optical Flow and the Taylor Expansion
Pattern Recognition Letters, 4:243-246.

128. Mayb86b.
Maybank, S.J. (1986 b).
Algorithm for analysing optical flow based on the least-squares method
Image and Vision Computing, 4(1):38-42.

129. MeesHarr97.
Meese, T.S. and Harris, M.G. (1997).
Computation of surface slant from optic flow: orthogonal components of speed gradient can be combined
Vision Research, 37(17):2369-2379.

130. Meir80.
Meiri, A.Z. (1980).
On monocular perception of 3-D moving objects
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2:582-583.

131. Meye94.
Meyer, F.G. (1994).
Time-to-collision from first-order models of the motion field
IEEE Transactions on Robotics and Automation, 10:792-798.

132. MichTorrUras93.
Micheli, E.D., Torre, V., and Uras, S. (1993).
The accuracy of the computation of optical flow and of the recovery of motion parameters
IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(5):434-447.

133. Miti88.
Mitiche, A. (1988).
Three-dimensional space from optical flow correspondence
Computer Vision, Graphics and Image Processing, 42(3):306-317.

134. MitiBout96.
Mitiche, A. and Bouthemy, P. (1996).
Computation and analysis of image motion: A synopsis of current problems and methods
International Journal of Computer Vision, 19(1):29-55.

135. MitiGrisAgga88.
Mitiche, A., Grisell, R., and Aggarwal, J.K. (1988).
On smoothness of a vector field-application to optical flow
IEEE Transactions on Pattern Analysis and Machine Intelligence, 10(6):943-949.

136. Mori85.
Mori, T. (1985).
An active method of extracting egomotion parameters from optical flow
Biological Cybernetics, 52(6):405-407.

137. MoriHara91.
Morikawa, H. and Harashima, H. (1991).
3D Structure Extraction Coding of Image Sequences
Journal of Visual Communication and Image Representation, 2(4):332-344.

138. Murr87.
Murray, D.W. (1987).
Model-based recognition using 3D structure from motion
Image and Vision Computing, 5(2):85-90.

139. Murr90.
Murray, D.W. (1990).
Algebraic polyhedral constraints and 3D structure from motion
Image and Vision Computing, 8(1):24-31.

140. MurrCastBuxt88.
Murray, D.W., Castelow, D.A., and Buxton, B.F. (1988).
From an image sequence to a recognized polyhedral object
Image and Vision Computing, 6(2):107-120.

141. MurrCastBuxt89.
Murray, D.W., Castelow, D.A., and Buxton, B.F. (1989).
From image sequences to recognized moving polyhedral objects
International Journal of Computer Vision, 3(3):181-208.

142. Nage78.
Nagel, H.H. (1978).
Formation of an Image Concept by Analysis of Systematic Variations in the Optically Perceptible Environment
Computer Graphics and Image Processing, 7:149-194.

143. Nage88.
Nagel, H.H. (1988).
From Image Sequences towards Conceptual Descriptions
Image and Vision Computing, 6(2):59-74.

144. NakaOsaMaek+97.
Nakajima, K., Osa, A., Maekawa, T., and Miike, H. (15. May 1997).
Evaluation of body motion by optical flow analysis
Japanese Journal of Applied Physics, Part 1, 36(5A):2929-2937.

145. NakaLoom74.
Nakayama, K. and Loomis, J.M. (1974).
Optical Velocity Patterns, Velocity Sensitive Neurons, and Space Perception: A Hypothesis
Perception, 3:63-80.

146. NamWohn97.
Nam, Y. and Wohn, K.Y. (31. January 1997).
Recognition of hand gestures with 3D, nonlinear arm movements
Pattern Recognition Letters, 18(1):105-113.
(-abstract, .kr-abstract.html)

147. NasrClifLiu89.
Nasrabadi, N.M., Clifford, S.P., and Liu, Y. (1989).
Integration of stereo vision and optical flow by using an energy-minimization approach
J. of the Optical Society of America A, 6(6):900-907.

148. Nega90a.
Negahdaripour, S. (1. February 1990 a).
Closed-form relationship between the two interpretations of a moving plane
J. of the Optical Society of America A, 7(2):279.

149. Nega90b.
Negahdaripour, S. (1. November 1990 b).
Multiple Interpretations of the Shape and Motion of Objects from Two Perspectives Images
IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(11).

150. Nega96.
Negahdaripour, S. (1. November 1996).
Direct Computation of the FOE with Confidence Measures
Computer Vision and Image Understanding, 64(3):323.

151. NegaHorn89.
Negahdaripour, S. and Horn, B.K.P. (1. June 1989).
A Direct Method for Locating the Focus of Expansion
Computer Vision, Graphics and Image Processing, 46(3):303-326.

152. NegaYuShok90.
Negahdaripour, S., Yu, C.H., and Shokrollahi, A.H. (1. July 1990).
Recovering Shape and Motion From Undersea Images
IEEE Journal of Oceanic Engineering, 15(3):189.

153. Nels91.
Nelson, R.C. (1991).
Qualitative Detection of Motion by a Moving Observer
International Journal of Computer Vision, 7(1):33-46.

154. NelsAloi89.
Nelson, R.C. and Aloimonos, J. (1989).
Obstacle Avoidance Using Flow Field Divergence
IEEE Transactions on Pattern Analysis and Machine Intelligence, 11:1102-1105.

155. Neum84.
Neumann, B. (1984).
Optical flow
Computers and Graphics, 18(1):17-19.

156. NiesDuncNiel+97.
Niessen, W.J., Duncan, J.S., Nielsen, M., Florack, L.M.J., ter Haar Romeny, B.M., and Viergever, M.A. (February 1997).
Multiscale Approach to Image Sequence Analysis
Computer Vision and Image Understanding, 65(2):259-268.

157. OdobBout95.
Odobez, J.M. and Bouthemy, P. (December 1995).
Robust multiresolution estimation of parametric motion models
Journal of Visual Communication and Image Representation, 6(4):348-365.

158. OhtaKana95.
Ohta, N. and Kanatani, K. (1995).
Optimal structure-from-motion algorithm for optical flow
IEICE Transactions on Information and Systems (D), E78-D(12):1559-1566.

159. OstuDunn96
Ostuni, J. and Dunn, S. (January 1996).
Motion from three weak perspective images using image rotation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(1):64-69.

160. ParkWohn98.
Park, E.K. and Wohn, K.Y. (1998).
Spatio-temporal model for image motion
Electronics Letters, 34(16):1574-1575.

161. PeiKoSu98.
Pei, S.C., Ko, C.W., and Su, M.S. (April 1998).
Global motion estimation in model-based image coding by tracking 3D contour feature points
IEEE Transactions on Circuits and Systems for Video Technology, 8(2):181-190.

162. PeiLiou94a.
Pei, S.C. and Liou, L.G. (1994 a).
Finding the Motion, Position and Orientation of a Planar Patch in 3D Space from Scaled-Orthographic Projection
Pattern Recognition, 27(1):9-25.

163. PeiLiou94b.
Pei, S.C. and Liou, L.G. (October 1994 b).
Using moments to acquire the motion Paramenters of a deformable object without correspondence
Image and Vision Computing, 12(8):475-485.

164. PeiLiou94c.
Pei, S.C. and Liou, L.G. (November 1994 c).
Rigid motion and structure from several sets of parallel lines in a monocular image sequence
Pattern Recognition, 27(11):1475-1492.

165. PeiLiou97a
Pei, S.C. and Liou, L.G. (October 1997 a).
Motion-based grouping of optical flow fields: the extrapolation and subtraction technique
IEEE Transactions on Image Processing, 6(10):1358-1363.

166. PeiLiou97b.
Pei, S.C. and Liou, L.G. (1997 b).
What can be seen in a noisy optical flow field projected by a moving planar patch in 3D space?
Pattern Recognition, 30(9):1401-1413.

167. Penn94.
Penna, M.A. (1994).
The Incremental Approximation of Nonrigid Motion
Computer Vision, Graphics and Image Processing: Image Understanding, 60(2):141-156.

168. Praz80.
Prazdny, K. (1980).
Egomotion and relative depth map from optical flow
Biological Cybernetics, 36(2):87-102.

169. Praz81.
Prazdny, K. (November 1981).
Determining the Instantaneous Direction of Motion from Optical Flow Generated by a Curvilinear Moving Observer
Computer Vision, Graphics and Image Processing, 17(3):238-248.

170. Praz83.
Prazdny, K. (May 1983).
On the Information in Optical Flows
Computer Vision, Graphics and Image Processing, 22(2):239-259.

171. RangAlleShah93.
Rangarajan, K., Allen, B., and Shah, M.A. (April 1993).
Matching Motion Trajectories
Pattern Recognition, 26(4):595-610.

172. RangShah92.
Rangarajan, K. and Shah, M.A. (December 1992).
Interpretation of Motion Trajectories Using Focus of Expansion
IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(12).

173. Redd89.
Reddi, S. (1989).
Comparing two computational algorithms for analysing optical flow
International Journal of Computer Mathematics, 27(1):15-30.

174. ReddLoiz96.
Reddi, S. and Loizou, G. (1996).
First-order algorithm with three clusters of optical flow vectors
International Journal of Imaging Systems and Technology, 7(1):33-40.

175. RegaBeve85.
Regan, D. and Beverley, K.I. (1985).
Visual responses to vorticity and the neural analysis of optic flow
J. of the Optical Society of America A, 2(2):280-283.

176. RoacAgga80.
Roach, J.W. and Aggarwal, J.K. (1980).
Determining the movement of objects from a sequence of images
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2(6):554-562.

177. ScheNiem86.
Scheuing, A. and Niemann, H. (1986).
Computing depth from stereo images by using optical flow
Pattern Recognition Letters, 4(3):205-212.

178. SharAloi96.
Sharma, R. and Aloimonos, Y. (1996).
Early detection of independent motion from active control of normal image flow patterns
IEEE Transactions on Systems, Man and Cybernetics, 26(1):42-52.

179. Shen96.
Shen, D.F. (1996).
Segmentation-based motion estimation and residual coding for packet video
Journal of Information Science and Engineering, 12(3):397-413.
(.tw-Abstract.html)

180. ShiShuPan94.
Shi, Y.Q., Shu, C.Q., and Pan, J.N. (1994).
Unified optical flow field approach to motion analysis from a sequence of stereo images
Pattern Recognition, 27(12):1577-1590.

181. ShibSugiSugi86.
Shibata, T., Sugihara, K., and Sugie, N. (1986).
Recovering three-dimensional structure and motion of jointed objects from orthographically projected optical flow
Systems and Computers in Japan, 17(8):60-69.

182. ShizMase94.
Shizawa, M. and Mase, K. (1994).
Multiple optical flow-fundamental constraint equations and a unified computational theory for detecting motion transparency and motion boundaries
Systems and Computers in Japan, 25(5):52-74.

183. ShuShi93.
Shu, C.Q. and Shi, Y.Q. (1993).
Direct recovering of Nth order surface structure using unified optical flow field
Pattern Recognition, 26(8):1137-1148.

184. Simp88.
Simpson, W.A. (July 1988).
Depth Discrimination from Optic Flow
Perception, 17(4):497-512.

185. SincBlakMurr94.
Sinclair, D., Blake, A., and Murray, D.W. (1994).
Robust ego-motion estimation from Normal Flow
International Journal of Computer Vision, 13(1):57-69.

186. SincBlakSmit+93.
Sinclair, D., Blake, A., Smith, S.M., and Rothwell, C. (May 1993).
Planar region detection and motion recovery
Image and Vision Computing, 11(4):229-234.

187. Snyd91.
Snyder, M.A. (November 1991).
On the mathematical foundations of smoothness constraints for the determination of optical flow and for surface reconstruction
IEEE Transactions on Pattern Analysis and Machine Intelligence, 13(11):1105-1114.

188. Srin90.
Srinivasan, M.V. (1990).
Generalized gradient schemes for the measurement of two-dimensional image motion
Biological Cybernetics, 63:421-431.

189. Srin94.
Srinivasan, M.V. (1994).
An image-interpolation technique for the computation of optic flow and egomotion
Biological Cybernetics, 71(5):401-415.
(.com-Abstract)

190. StriMao94:
Strickland, R.N. and Mao, Z. (September 1994).
Contour Motion Estimation Using Relaxation Matching with a Smoothness Constraint on the Velocity Field
Computer Vision, Graphics and Image Processing: Image Understanding, 60(2):157-167.

191. Subb88
Subbarao, M. (1988).
Interpretation of Image Flow: Rigid Curved Surfaces in Motion
International Journal of Computer Vision, 2:77-96.

192. Subb89
Subbarao, M. (March 1989).
Interpretation of image flow: A spatio-temporal approach
IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(3):266-278.

193. Subb90.
Subbarao, M. (June 1990).
Bounds on Time-to-Collision and Rotational Component from First-Order Derivatives of Image Flow
Computer Vision, Graphics and Image Processing, 50(3):329-341.

194. SubbWaxm86.
Subbarao, M. and Waxman, A.M. (November 1986).
Closed form solution to image flow equations for planar surfaces in motion
Computer Vision, Graphics and Image Processing, 36(2/3):208-228.

195. SudhBaneBisw+95.
Sudhir, G., Banerjee, S., Biswas, K.K., and Bahl, R. (1995).
Cooperative integration of stereopsis and optic flow computation
J. of the Optical Society of America A, 12(12):2564-2572.

196. SudhLee96.
Sudhir, G. and Lee, J.C.M. (December 1996).
Video annotation by motion interpretation using optical flow streams
Journal of Visual Communication and Image Representation, 7(4):354-368.

197. SugiSugi84.
Sugihara, K. and Sugie, N. (1984).
Recovery of rigid structure from orthographically projected optical flow
Computer Vision, Graphics and Image Processing, 27(3):309-320.

198. SullAhuj94.
Sull, S. and Ahuja, N. (1994).
Integrated 3D Analysis and Analysis Guided Synthesis of Flight Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(4):357-372.

199. SundBoutChau96.
Sundareswaran, V., Bouthemy, P., and Chaumette, F. (1996).
Exploiting image motion for active vision in a visual servoing framework
International Journal of Robotics Research, 15(6):629-645.

200. TagaToriEndo93.
Tagawa, N., Toriu, T., and Endoh, T. (1993).
Un-biased linear algorithm for recovering three-dimensional motion from optical flow
IEICE Transactions on Information and Systems (D), E76-D(10):1263-1275.

201. TagaToriEndo94.
Tagawa, N., Toriu, T., and Endoh, T. (1994).
Estimation of 3-D motion from optical flow with unbiased objective function
IEICE Transactions on Information and Systems (D), E77-D(10):1148-1161.

202. TagaToriEndo96.
Tagawa, N., Toriu, T., and Endoh, T. (1996).
3-D motion estimation from optical flow with low computational cost and small variance
IEICE Transactions on Information and Systems (D), E79-D(3):230-241.

203. TPasKappKoen97.
te Pas, S.F., Kappers, A.M.L., and Koenderink, J.J. (1997).
Detection of second-order structure in optical flow fields
J. of the Optical Society of America A, 14(4):767-778.

204. TerzWitk88.
Terzopoulos, D. and Witkin, A. (November 1988).
Deformable Models: Physically Based Models with Rigid and Deformable Components
IEEE Transactions on Computer Graphics and Applications, :41-51.

205. Thom89.
Thompson, W.B. (1989).
Structure-from-motion by tracking occlusion boundaries
Biological Cybernetics, 62:113-116.

206. ThomBarn81
Thompson, W.B. and Barnard, S.T. (1981).
Lower-level estimation and interpretation of visual motion
Computer, 14(8):20-28.

207. ThomLechStuc93
Thompson, W.B., Lechleider, P., and Stuck, E.R. (1993).
Detecting moving objects using the rigidity constraint
IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(2):162-166.

208. ThomMutcBerz85
Thompson, W.B., Mutch, K.M., and Berzins, V.A. (1985).
Dynamic occlusion analysis in optical flow field
IEEE Transactions on Pattern Analysis and Machine Intelligence, 7(4):374-383.

209. TianShah99.
Tian, T.Y. and Shah, M.A. (1999).
Recovering 3D Motion and Structure using Adaptive Hough Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(10).

210. TistSand93.
Tistarelli, M. and Sandini, G. (1993).
On the advantages of polar and log-polar mapping for direct estimation of time-to-impact from optical flow
IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(4):401-410.

211. TomaKana92.
Tomasi, C. and Kanade, T. (1992).
Shape and motion from image streams under orthography: A factorization method
International Journal of Computer Vision, 9(2):137-154.

212. TorrMurr97.
Torr, P.H.S. and Murray, D.W. (1997).
The Development and Comparison of Robust Methods for Estimating the Fundamental Matrix
International Journal of Computer Vision, 24(3):271-300.

213. TsaiShah94.
Tsai, P.S. and Shah, M.A. (October 1994).
Cyclic Motion Detection for Motion Based Recognition
Pattern Recognition, 27(12).

214. TsaiHuan81.
Tsai, R.Y. and Huang, T.S. (1981).
Estimating 3-D motion parameters of a rigid planar patch
IEEE Transactions on Acoust. Speech and Signal Process., 29(6):1147-1152.

215. TsaiHuan84a.
Tsai, R.Y. and Huang, T.S. (1984 a).
Uniqueness and Estimation of 3D Motion Parameters of Rigid Objects with Curved Surfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence, 6(1):13-27.

216. TsaiHuan84b.
Tsai, R.Y. and Huang, T.S. (1984 b).
Estimating three-dimensional motion parameters of a rigid planar patch, III: Finite point corresspondences and the three view problem
IEEE Transactions on Acoust. Speech and Signal Process., 32:213-220.

217. TsaiHuanZhu82.
Tsai, R.Y., Huang, T.S., and Zhu, W.L. (1982).
Estimating 3D Motion Parameters of a Rigid Planar Patch, II: Singular Value Decomposition
IEEE Transactions on Acoust. Speech and Signal Process., 30(4):525-534.

218. TsotMyloConv+80.
Tsotsos, J.K., Mylopoulos, J., Convey, H.D., and Zucker, S.W. (1980).
A framework for visual motion understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2(6):563-573.

219. TsukAgga88.
Tsukune, H. and Aggarwal, J.K. (May 1988).
Analyzing orthographic projection of multiple 3D velocity vector fields in optical flow
Computer Vision, Graphics and Image Processing, 42(2):157-191.

220. Tzir89.
Tziritas, G. (1989).
Recursive and/or iterative estimation of the two-dimensional velocity field and reconstruction of three-dimensional motion
Signal Processing, 16(1):53-72.

221. TzovGramStri97a.
Tzovaras, D., Grammalidis, N., and Strintzis, M.G. (1997 a).
3-D Camera Motion Estimation and Foreground/Background Separation for Stereoscopic Image Sequences
Optical Engineering, 36(2).

222. TzovKompStri99.
Tzovaras, D., Kompatsiaris, I., and Strintzis, M.G. (August 1999).
3D Object Articulation and Motion Estimation in Model-Based Stereoscopic Videoconference Image Sequence Analysis and Coding
Signal Processing: Image Communication, 14(9).

223. TzovPlosStri00.
Tzovaras, D., Ploskas, D., and Strintzis, M.G. (February 2000).
Rigid 3D Motion Estimation Using Neural Networks and Initially Estimated 2D Motion Data
IEEE Transactions on Circuits and Systems for Video Technology, 10(1):158-166.
(.org-Abstract)

224. Ullm81.
Ullman, S. (1981).
Analysis of visual motion by biological and computer systems
IEEE Transactions on Computers, 14(8):57-69.

225. Ullm86.
Ullman, S. (1986).
The Optical Flow of Planar Surfaces
Spatial Vision, 1:263-276.

226. UrasGiroVerr+89.
Uras, S., Girosi, F., Verri, A., and Torre, V. (1989).
A Computational Approach to Motion Perception
Biological Cybernetics, 60:79-97.

227. VerrAica90.
Verri, A. and Aicardi, F. (1990).
Limit Cycles of the Two-Dimensional Motion Field
Biological Cybernetics, 64:141-144.

228. VerrGiroTorr89
Verri, A., Girosi, F., and Torre, V. (1989).
Mathematical Properties of the Two-Dimensional Motion Field: From Singular Points to Motion Parameters
J. of the Optical Society of America A, 6(5):698-712.

229. VerrPogg89.
Verri, A. and Poggio, T. (May 1989).
Motion field and optical flow: Qualitative properties
IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(5):490-498.

230. WangDunc96.
Wang, W.J. and Duncan, J.H. (May 1996).
Recovering the three-dimensional motion and structure of multiple moving objects from binocular image flows
Computer Vision and Image Understanding, 63(3):430-446.

231. WaxmKamgSubb87
Waxman, A.M., Kamgar-Parsi, B., and Subbarao, M. (1987).
Closed-Form Solutions to Image Flow Equations for 3D-Structure and Motion
International Journal of Computer Vision, 1(3):239-258.

232. WaxmSinh86.
Waxman, A.M. and Sinha, S.S. (1986).
Dynamic Stereo: Passive Ranging to Moving Objects from Relative Image Flows
IEEE Transactions on Pattern Analysis and Machine Intelligence, 8:406-412.

233. WaxmUllm85.
Waxman, A.M. and Ullman, S. (1985).
Surface Structure and 3D Motion from Image Flow Kinematics
International Journal of Robotics Research, 4(3):72-94.

234. WaxmWohn85.
Waxman, A.M. and Wohn, K.Y. (1985).
Contour Evolution, Neighbourhood Deformation and Global Image Flow: Planar Surfaces in Motion
International Journal of Robotics Research, 4(3):95-108.

235. WebbAgga81.
Webb, J.A. and Aggarwal, J.K. (1981).
Visually Interpreting the Motion of Objects in Space
Computer, 14(8):40-46.

236. WebbAgga82.
Webb, J.A. and Aggarwal, J.K. (1. September 1982).
Structure from motion of rigid and jointed objects
Artificial Intelligence, 19(1):107-130.

237. WebeMali97
Weber, J. and Malik, J. (February 1997).
Rigid body segmentation and shape description from dense optical flow under weak perspective
IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(2):139-143.

238. Well89.
Wells III, W.M. (December 1989).
Visual Estimation of 3-D Line Segments from Motion - A Mobile Robot Vision System
IEEE Transactions on Robotics and Automation, 5(6):820--825.

239. WengAhujHuan93.
Weng, J., Ahuja, N., and Huang, T.S. (1993).
Optimal motion and structure estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(9):864-884.

240. WengHuanAhuj87.
Weng, J., Huang, T.S., and Ahuja, N. (1987).
3-D motion estimation, understanding, and prediction from noisy image sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence, 9(3):370-389.

241. WengHuanAhuj92.
Weng, J., Huang, T.S., and Ahuja, N. (1992).
Motion and structure from line correspondences: closed-form solution, uniqueness, and optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(3):318-336.

242. WohnDaviThri83.
Wohn, K.Y., Davis, L.S., and Thrift, P. (1983).
Motion estimation based on multiple local constraints and nonlinear smoothing
Pattern Recognition, 16(6):563-570.

243. WohnWaxm90
Wohn, K.Y. and Waxman, A.M. (February 1990).
The analytic structure of image flows: Deformation and segmentation
Computer Vision, Graphics and Image Processing, 49(2):127-151.

244. WuWohn91.
Wu, J. and Wohn, K.Y. (1991).
On the deformation of image intensity and zero-crossing contours under motion
Computer Vision, Graphics and Image Processing, 53(1):66-75.

245. WuKitt93.
Wu, S.F. and Kittler, J. (1993).
A gradient-based method for general motion estimation and segmentation
Journal of Visual Communication and Image Representation, 4(1):25-38.

246. WuChel95.
Wu, T.H. and Chellappa, R. (1995).
Experiments on Estimating Motion and Structure Parameters Using Long Monocular Image Sequences
International Journal of Computer Vision, 15:77-103.

247. YenHuan83.
Yen, B.L. and Huang, T.S. (1983).
Determining 3-D motion and structure of a rigid body using the spherical projection
Computer Vision, Graphics and Image Processing, 21:21-32.

248. YounChel90.
Young, G.S. and Chellappa, R. (1990).
3-D Motion Estimation Using a Sequence of Noisy Stereo Images: Models, Motion Estimation and Uniqueness Results
IEEE Transactions on Pattern Analysis and Machine Intelligence, 12:735-759.

249. YounChel92.
Young, G.S. and Chellappa, R. (1992).
Statistical analysis of inherent ambiguities in recovering 3-D motion and structure from a noisy flow field
IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(10):995-1013.

250. YuNega91.
Yu, C.H. and Negahdaripour, S. (1. January 1991).
Orientation and distance recovery of Lambertian planar surfaces in light-attenuating media from optical images
J. of the Optical Society of America A, 8(1):217.

251. ZhanShah97.
Zhang, R. and Shah, M.A. (1. November 1997).
Iterative Shape Recovery From Multiple Images
Image and Vision Computing, 15(11):801.

252. Zhan95a.
Zhang, Z. (1995 a).
Estimating Motion and Structure from Correspondences of Line Segments between Two Perspective Images
IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(12).
(-abstract, .fr-abstract, -paper, .fr-paper.ps.gz)

253. Zhan95b.
Zhang, Z. (1995 b).
Motion and Structure of Four Points from One Motion of a Stereo Rig with Unknown Extrinsic Parameters
IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(12):1222-1227.
(-abstract, .fr-abstract, -paper, .fr-paper.ps.gz)

254. Zhan97b.
Zhang, Z. (1997 b).
Motion and Structure From Two Perspective Views: From Essential Parameters to Euclidean Motion Via Fundamental Matrix
J. of the Optical Society of America A, 14(11):2938.

255. ZhanFaug91.
Zhang, Z. and Faugeras, O.D. (1991).
Determining motion from 3-D line segments: A comparative study
Image and Vision Computing, 9(1):10-19.
(.fr-abstract)

256. ZhanFaug92a
Zhang, Z. and Faugeras, O.D. (1992 a).
Three-dimensional motion computation and object segmentation in a long sequence of stereo frames
International Journal of Computer Vision, 7(3):211-241.
(.fr-abstract)

257. ZhanFaug94.
Zhang, Z. and Faugeras, O.D. (1994).
Finding Planes and Clusters of Objects from 3D Line Segments with Application to 3D Motion Determination
Computer Vision, Graphics and Image Processing: Image Understanding, 60(3):267-284.
(.fr-abstract)

258. ZhanLuonFaug96.
Zhang, Z., Luong, Q.T., and Faugeras, O.D. (1996).
Motion of an Uncalibrated Stereo Rig: Self-Calibration and Metric Reconstruction
IEEE Transactions on Robotics and Automation, 12(1):103-113.
(.fr-abstract, .fr-paper.ps.gz)

259. ZhenBillMayh+96
Zheng, Y., Billings, S.A., Mayhew, J.E.W., and Frisby, J.P. (1996).
Motion parameter recovery and 3D scene segmentation
Electronics Letters, 32(10):884-885.

260. ZhuaHuanAhuj+88.
Zhuang, X., Huang, T.S., Ahuja, N., and Haralick, R.M. (June 1988).
A simplified linear optic flow-motion algorithm
Computer Vision, Graphics and Image Processing, 42(3):334-344.

261. ZhuaHuanHara86.
Zhuang, X., Huang, T.S., and Haralick, R.M. (1986).
Two-view motion analysis: A unified algorithm
J. of the Optical Society of America A, 3(9):1492-1500.

Author Index

315 authors, 29 (9%) with homepage. First author references are printed boldface.

Country, City Author R A P Reference Keys
Adiv, G. - - - Adiv85. Adiv89.
Aggarwal, J. K. - - - AggaDuda75. ChowAgga77. MartAgga78. MartAgga79 RoacAgga80. WebbAgga81. WebbAgga82. KimAgga87. AggaNand88. MitiGrisAgga88. TsukAgga88. AggaCaiLiao+98.
Ahuja, Narendra 93 - - WengHuanAhuj87. ZhuaHuanAhuj+88. WengHuanAhuj92. WengAhujHuan93. SullAhuj94.
Aicardi, F. - - - VerrAica90.
Allen, Bill - - - RangAlleShah93.
Aloimonos, J. - - - NelsAloi89.
Aloimonos, Y. - - - SharAloi96.
Ancona, N. - - - AncoPogg95.
Argyros, Antonis A. - - - ArgyTrahOrph98.
Asada, Minoru - - - AsadTsuj83. ChenShirAsad93 GuShirAsad95 GuShirAsad96
Azarbayejani, Ali - - - AzarStarHoro+93. AzarPent94.
Bahl, R. - - - SudhBaneBisw+95.
Baker, H. H. - - - BollBakeMari87.
Bakut, P. A. - - - BakuKuznLozi+92.
USA, NY, Rochester Ballard, Dana H. BallKimb83
Banerjee, S. - - - SudhBaneBisw+95.
Barnard, Stephen T. - - - ThomBarn81
Barniv, Y. - - - Barn92a. Barn92b.
Barron, J. L. - - - BarrLipt94.
Baumela, L. - - - BrooChojBaum97.
Beardsley, P. A. - - - BearZissMurr97.
Bergholm, F. - - - Berg88. BergCarl91.
Berzins, Valdis A. - - - ThomMutcBerz85
Beusmans, J. M. H. - - - Beus93.
Beverley, K. I. - - - RegaBeve85.
Billings, S. A. - - - ZhenBillMayh+96
Biswas, K. K. - - - SudhBaneBisw+95.
Blake, A. - - - SincBlakSmit+93. SincBlakMurr94.
Blostein, Steven D. 94 - 94 EarnBlos96. EarnBlos98.
Bohrer, S. - - - MallBultLitt+91.
Bolles, R. C. - - - BollBakeMari87.
Boukir, Samia - - - ChauBoukBout+96.
Bouthemy, Patrick 89 - 94 FranBout90. BoutLala93. OdobBout95. ChauBoukBout+96. MitiBout96. SundBoutChau96.
Bozdagi, Gozde - - - BozdTekaOnur94a. BozdTekaOnur94b.
Bradshaw, Kevin J. - - - BradReidMurr97.
Broida, Ted J. - - - BroiChel86 BroiChel89.
Brooks, M. J. - - - BrooChojBaum97.
Bruss, A. R. - - - BrusHorn83.
Bülthoff, Heinrich H. - - - MallBultLitt+91.
Buxton, Bernard F. - - - BuxtBuxt83a. BuxtBuxtMurr+85a. BuxtBuxtMurr+85b. CastMurrScot+88 MurrCastBuxt88. MurrCastBuxt89.
Buxton, Hilary 80 - - BuxtBuxt83a. BuxtBuxtMurr+85a. BuxtBuxtMurr+85b.
Cai, Q. - - - AggaCaiLiao+98.
Caimi, F. M. - - - ChihCaim97.
Cameron, Seth - - - CameGrosGuen98.
Campani, Marco - - - CampVerr92
Cappellini, V. - - - CappMecoDBimb93
Carlsson, S. - - - BergCarl91.
Castelow, D. A. - - - CastMurrScot+88 MurrCastBuxt88. MurrCastBuxt89.
Cavanaugh, Joseph E. - - - HuanPalaZhua+95
Cédras, Claudette - - - CédrShah95.
Chandrasekaran, B. - - - FlinChan81.
Chaumette, François - - - ChauBoukBout+96. SundBoutChau96.
Chellappa, Rama 80 - - BroiChel86 BroiChel89. YounChel90. YounChel92. WuChel95.
Chen, Homer H. - - - ChenHuan90
Chen, Hsiao-Jing - - - ChenShirAsad93
Chien, R. T. - - - JacoChieSela80.
Chih-Ho, Yu - - - ChihCaim97.
Cho, D.-S. - - - ChoPark99.
Chojnacki, W. - - - BrooChojBaum97.
Chow, W. K. - - - ChowAgga77.
Clifford, S. P. - - - NasrClifLiu89.
Clocksin, W. F. - - - Cloc80.
Convey, H. D. - - - TsotMyloConv+80.
Csurka, Gabriella - - - CsurZellZhan+97. FaugRobeLave+98.
Da Vitoria Lobo, Niels - - - DVitoTsot96.
Davis, Larry S. - - 94 WohnDaviThri83.
De Micheli, E. - - - DMichTorrUras93.
Del Bimbo, Alberto - - - CappMecoDBimb93
Dijkstra, T. M. H. - - - DijkSnoeGiel94.
Dreschler, L. - - - DresNage82.
Duda, R. O. - - - AggaDuda75.
Dugelay, J. L. - - - DugeSans95.
Duncan, J. S. - - - NiesDuncNiel+97.
Duncan, James H. - - - WangDunc96.
Dunn, Stanley - - - OstuDunn96
Dvornychenko, V. N. - - - DvorKongSori92.
Earnshaw, A. Mark - - - EarnBlos96. EarnBlos98.
Endoh, T. - - - TagaToriEndo93. EndoToriTaga94. TagaToriEndo94. TagaToriEndo96.
Enkelmann, W. - - - Enke91.
Fang, J.-Q. - - - FangHuan84.
Faugeras, Olivier D. 93 - 93 ZhanFaug91.a ZhanFaug92aa FaugPapa93.p ZhanFaug94.a ZhanLuonFaug96.ap CsurZellZhan+97. LuonFaug97.p FaugRobeLave+98.
Flinchbaugh, Bruce E. - - - FlinChan81.
Florack, L. M. J. - - - NiesDuncNiel+97.
François, Edouard - - - FranBout90.
Frisby, John P. - - - ZhenBillMayh+96
Gauclin, Cyrille - - - FaugRobeLave+98.
Giachetti, A. - - - GiacTorr96.
Gielen, C. C. A. M. - - - DijkSnoeGiel94.
Girosi, F. - - - UrasGiroVerr+89. VerrGiroTorr89
Goh, Wooi Boon - - - GohMart94.
Grammalidis, Nikos - - - GramMalaTzov+95. TzovGramStri97a.
Grisell, R. - - - MitiGrisAgga88.
USA, MA, Boston Grossberg, Stephen 94 - 94 CameGrosGuen98.
Gu, Haisong - - - GuShirAsad95 GuShirAsad96
Guenther, Frank H. - - - CameGrosGuen98.
Gupta, Naresh C. - - - GuptKana95.
Gur, G. - - - HadaIshaGur80.
Hadani, I. - - - HadaIshaGur80.
Haralick, Robert M. - - - HaraZhua86. ZhuaHuanHara86. ZhuaHuanAhuj+88. HaraJooLee+89.
Harashima, Hiroshi - - - MoriHara91.
Harris, M. G. - - - MeesHarr97.
Heeger, David J. - - - HeegJeps92.
Heikkonen, Jukka - - - Heik95.
Holt, R. - - - HoltNetr93.
Horn, Berthold K. P. - - - BrusHorn83. Horn87 HornWeld88 NegaHorn89.
Horowitz, B. - - - AzarStarHoro+93.
Huang, Thomas S. 97 - - TsaiHuan81. TsaiHuanZhu82. YenHuan83. FangHuan84. TsaiHuan84a. TsaiHuan84b. ZhuaHuanHara86. WengHuanAhuj87. LiuHuan88. ZhuaHuanAhuj+88. HuanLee89. ChenHuan90 WengHuanAhuj92. LiuHuan93. WengAhujHuan93. HuanNetr94.
Huang, Yan - - - HuanPalaZhua+95
Hummel, R. - - - HummSund93.
Irani, Michal 91 91 93 IranPele93.ap IranRousPele97.ap
Ishai, G. - - - HadaIshaGur80.
Iu, Siu-Leong - - - IuWohn91.
Jacobson, Lowell - - - JacoWech82.
Jacobus, C. J. - - - JacoChieSela80.
Jain, Ramesh C. - - - JainNage79 Jain81b Jain83. JayaJain83. Jain84b JeriJain84
Jayaramamurthy, S. N. - - - JayaJain83.
Jepson, Allan D. 91 91 91 HeegJeps92.
Jerian, Charles - - - JeriJain84
Johansson, G. - - - Joha73.
Joo, H. - - - HaraJooLee+89.
Jung, Soon Ki - - - JungWohn97a. JungWohn97b. JungWohn98.
Juvin, Didier - - - ChauBoukBout+96.
Kago, K. - - - KagoMiik90.
Kaiser, M. K. - - - KellKais95.
Kamgar-Parsi, Behrooz - - - WaxmKamgSubb87
Kanade, Takeo ? ? ? MattSzelKana89. TomaKana92.
Kanal, Laveen N. - - - GuptKana95.
Kanatani, Ken-ichi - - - Kana84. Kana85b. Kana86. Kana87. Kana88. Kana93. OhtaKana95.
Kappers, A. M. L. - - - KappVDoorKoen94. KappTPasKoen+96b. TPasKappKoen97.
Kawamura, A. - - - KawaSugiSugi89.
Kellman, P. J. - - - KellKais95.
Kim, M. B. - - - HaraJooLee+89.
Kim, Y. C. - - - KimAgga87.
Kimball, O. A. - - - BallKimb83
Kittler, J. - - - WuKitt93.
Ko, C. W. - - - PeiKoSu98.
Koch, R. - - - Koch93.
Koenderink, J. J. - - - KoenVDoor75. KoenVDoor87. KoenVDoor91. KoenVDoor92. KappVDoorKoen94. KappTPasKoen+96b. TPasKappKoen97.
Kompatsiaris, Ioannis - - - KompTzovStri98a. TzovKompStri99.
Kong, M. S. - - - DvorKongSori92.
Kuznetsov, M. V. - - - BakuKuznLozi+92.
Lalande, P. - - - BoutLala93.
Lappe, M. - - - LappRaus93.
Laveau, Stéphane - - - FaugRobeLave+98.
Lechleider, Pamela - - - ThomLechStuc93
Lee, C. B. - - - HuanLee89.
Lee, C. N. - - - HaraJooLee+89.
Lee, Denis N. - - - Lee80.
Lee, John C. M. - - - SudhLee96.
Liao, W. - - - AggaCaiLiao+98.
Liou, Lin-Gwo - - - PeiLiou94a. PeiLiou94b. PeiLiou94c. PeiLiou97a PeiLiou97b.
Liptay, A. - - - BarrLipt94.
Little, J. J. - - - MallBultLitt+91.
Liu, Yi - - - LiuHuan88. NasrClifLiu89. LiuHuan93.
Loizou, G. - - - ReddLoiz96.
Longuet-Higgins, H. C. - - - LongPraz80. Long81. Long84.
Loomis, J. M. - - - NakaLoom74.
Lozin, K. R. - - - BakuKuznLozi+92.
Luo, R. C. - - - LuoMull89.
Luong, Quang-Tuan - - - ZhanLuonFaug96.ap LuonFaug97.p
Maekawa, T. - - - NakaOsaMaek+97.
Malassiotis, Sotiris - - - GramMalaTzov+95. MalaStri97a.
Malik, Jitendra 87 - - WebeMali97
Mallot, Hanspeter A. - - - MallBultLitt+91.
Mao, Zuhua - - - StriMao94
Marimont, D. H. - - - BollBakeMari87.
Marr, D. - - - MarrUllm81.
Martin, Graham R. - - - GohMart94.
Martin, W. N. - - - MartAgga78. MartAgga79
Mase, Kenji 81 - 96 Mase91. ShizMase94.
Matthies, L. - - - MattSzelKana89.
Maybank, S. J. - - - Mayb86a. Mayb86b.
EUR, UK, Sheffield Mayhew, John E. W. - - - ZhenBillMayh+96
Mecocci, A. - - - CappMecoDBimb93
Meese, T. S. - - - MeesHarr97.
Meiri, A. Z. - - - Meir80.
Meyer, Fernand G. - - - Meye94.
Micheli, E. D. - - - MichTorrUras93.
Miike, H. - - - KagoMiik90. NakaOsaMaek+97.
Mitiche, A. - - - Miti88. MitiGrisAgga88. MitiBout96.
Mori, T. - - - Mori85.
Morikawa, Hiroyuki - - - MoriHara91.
Mullen, R. E. Jr. - - - LuoMull89.
Murray, David W. - - - BuxtBuxtMurr+85a. BuxtBuxtMurr+85b. Murr87. CastMurrScot+88 MurrCastBuxt88. MurrCastBuxt89. Murr90. SincBlakMurr94. BearZissMurr97. BradReidMurr97. TorrMurr97.
Mutch, Kathleen M. - - - ThomMutcBerz85
Mylopoulos, J. - - - TsotMyloConv+80.
Nagel, Hans-Hellmut - - - Nage78. JainNage79 DresNage82. Nage88.
Nakajima, K. - - - NakaOsaMaek+97.
Nakayama, K. - - - NakaLoom74.
Nam, Yanghee - - - NamWohn97.a
Nandhakumar, N. - - - AggaNand88.
Nasrabadi, Nasser M. - - - NasrClifLiu89.
Negahdaripour, Shahriar - - - NegaHorn89. Nega90a. Nega90b. NegaYuShok90. YuNega91. Nega96.
Nelson, R. C. - - - NelsAloi89. Nels91.
Netravali, A. N. - - - HoltNetr93. HuanNetr94.
Neumann, B. - - - Neum84.
Nielsen, M. - - - NiesDuncNiel+97.
Niemann, H. - - - ScheNiem86.
Niessen, W. J. - - - NiesDuncNiel+97.
Odobez, Jean-Marc - - - OdobBout95.
Ohta, N. - - - OhtaKana95.
Onural, L. - - - BozdTekaOnur94a. BozdTekaOnur94b.
Orphanoudakis, Stelios C. - - - ArgyTrahOrph98.
Osa, A. - - - NakaOsaMaek+97.
Ostuni, John - - - OstuDunn96
Palaniappan, Kannappan - - - HuanPalaZhua+95
Pan, J. N. - - - ShiShuPan94.
Papadopoulo, Théo - - - FaugPapa93.p
Park, EunKwang - - - ParkWohn98.
Park, Rae-Hong - - - ChoPark99.
Pei, Soo-Chang - - - PeiLiou94a. PeiLiou94b. PeiLiou94c. PeiLiou97a PeiLiou97b. PeiKoSu98.
Peleg, Shmuel 91 - 91 IranPele93.ap IranRousPele97.ap
Penna, M. A. - - - Penn94.
Pentland, Alex Paul - - - AzarStarHoro+93. AzarPent94.
Ploskas, D. - - - TzovPlosStri00.A
USA, MA, Cambridge Poggio, Tomaso - - - VerrPogg89. AncoPogg95.
Prazdny, K. - - - LongPraz80. Praz80. Praz81. Praz83.
Rangarajan, Krishnan - - - RangShah92. RangAlleShah93.
Rauschecker, J. P. - - - LappRaus93.
Reddi, S. - - - Redd89. ReddLoiz96.
Regan, D. - - - RegaBeve85.
Reid, Ian R. - - - BradReidMurr97.
Roach, J. W. - - - RoacAgga80.
Robert, Luc - - - FaugRobeLave+98.
Rothwell, Charlie - - - SincBlakSmit+93.
Rousso, Benny - - - IranRousPele97.ap
Ryakhin, A. D. - - - BakuKuznLozi+92.
Sabata, Bikash - - - AggaCaiLiao+98.
Sandini, G. - - - TistSand93.
Sanson, H. - - - DugeSans95.
Scheuing, A. - - - ScheNiem86.
Scott, G. L. - - - CastMurrScot+88
Selander, J. M. - - - JacoChieSela80.
Shah, Mubarak Ali 84 - - RangShah92. RangAlleShah93. TsaiShah94. CédrShah95. ZhanShah97. TianShah99.
Sharma, R. - - - SharAloi96.
Shen, Day-Fann - - - Shen96.A
Shi, Y. Q. - - - ShuShi93. ShiShuPan94.
Shibata, T. - - - ShibSugiSugi86.
Shirai, Yoshiaki - - - ChenShirAsad93 GuShirAsad95 GuShirAsad96
Shizawa, M. - - - ShizMase94.
Shokrollahi, Amir H. - - - NegaYuShok90.
Shu, C. Q. - - - ShuShi93. ShiShuPan94.
Simpson, William A. - - - Simp88.
Sinclair, D. - - - SincBlakSmit+93. SincBlakMurr94.
Sinha, S. S. - - - WaxmSinh86.
Smith, Stephen M. 92 - - SincBlakSmit+93.
Snoeren, P. R. - - - DijkSnoeGiel94.
Snyder, M. A. - - - Snyd91.
Soria, S. M. - - - DvorKongSori92.
Australia, Canberra Srinivasan, M. V. - - - Srin90. Srin94.A
Starner, T. - - - AzarStarHoro+93.
Strickland, R. N. - - - StriMao94
Strintzis, Michael G. - - - GramMalaTzov+95. MalaStri97a. TzovGramStri97a. KompTzovStri98a. TzovKompStri99. TzovPlosStri00.A
Stuck, Elizabeth R. - - - ThomLechStuc93
Su, M. S. - - - PeiKoSu98.
Subbarao, Muralidhara - - - SubbWaxm86. WaxmKamgSubb87 Subb88 Subb89 Subb90.
Sudhir, G. - - - SudhBaneBisw+95. SudhLee96.
Sugie, N. - - - SugiSugi84. ShibSugiSugi86. KawaSugiSugi89.
Sugihara, K. - - - SugiSugi84. ShibSugiSugi86. KawaSugiSugi89.
Sull, Sanghoon - - - SullAhuj94.
Sundareswaran, V. - - - HummSund93. SundBoutChau96.
Szelisky, R. - - - MattSzelKana89.
Tagawa, N. - - - TagaToriEndo93. EndoToriTaga94. TagaToriEndo94. TagaToriEndo96.
te Pas, S. F. - - - KappTPasKoen+96b. TPasKappKoen97.
Tekalp, A. Murat - - - BozdTekaOnur94a. BozdTekaOnur94b.
ter Haar Romeny, B. M. - - - NiesDuncNiel+97.
Terzopoulos, Demetri 79 97 95 TerzWitk88.
Thompson, William B. - - - ThomBarn81 ThomMutcBerz85 Thom89. ThomLechStuc93
Thrift, P. - - - WohnDaviThri83.
Tian, Tina Yu - - - TianShah99.
Tistarelli, Massimo - - - TistSand93.
Tomasi, C. - - - TomaKana92.
Toriu, T. - - - TagaToriEndo93. EndoToriTaga94. TagaToriEndo94. TagaToriEndo96.
Torr, P. H. S. - - - TorrMurr97.
Torre, V. - - - UrasGiroVerr+89. VerrGiroTorr89 DMichTorrUras93. MichTorrUras93. GiacTorr96.
Trahanias, Panos E. - - - ArgyTrahOrph98.
Tsai, Ping-Sing - - - TsaiShah94.
Tsai, R. Y. - - - TsaiHuan81. TsaiHuanZhu82. TsaiHuan84a. TsaiHuan84b.
Canada, Toronto Tsotsos, John K. 75 - - TsotMyloConv+80. DVitoTsot96.
Tsuji, Saburo - - - AsadTsuj83.
Tsukune, H. - - - TsukAgga88.
Tziritas, G. - - - Tzir89.
Tzovaras, Dimitrios - - - GramMalaTzov+95. TzovGramStri97a. KompTzovStri98a. TzovKompStri99. TzovPlosStri00.A
Ullman, Shimon - - - MarrUllm81. Ullm81. WaxmUllm85. Ullm86.
Uras, S. - - - UrasGiroVerr+89. DMichTorrUras93. MichTorrUras93.
Vaidya, V. G. - - - HaraJooLee+89.
van Doorn, A. J - - - KoenVDoor75. KoenVDoor87. KoenVDoor91. KoenVDoor92. KappVDoorKoen94. KappTPasKoen+96b.
Verri, Alessandro 84 - - UrasGiroVerr+89. VerrGiroTorr89 VerrPogg89. VerrAica90. CampVerr92
Viergever, M. A. - - - NiesDuncNiel+97.
Wang, Wendong J. - - - WangDunc96.
USA, MA, Lexington Waxman, Allen M. - - - WaxmUllm85. WaxmWohn85. SubbWaxm86. WaxmSinh86. WaxmKamgSubb87 WohnWaxm90
Webb, J. A. - - - WebbAgga81. WebbAgga82.
USA, CA, Pasadena Weber, Joseph 93 - 94 WebeMali97
Wechsler, Harry - - - JacoWech82.
Weldon, E. J. Jr. - - - HornWeld88
Wells III, William M. - - - Well89.
Weng, J. - - - WengHuanAhuj87. WengHuanAhuj92. WengAhujHuan93.
Williams, N. S. - - - BuxtBuxtMurr+85a. BuxtBuxtMurr+85b.
Witkin, A. - - - TerzWitk88.
Wohn, KwangYun 83 96 - WohnDaviThri83. WaxmWohn85. WohnWaxm90 IuWohn91. WuWohn91. JungWohn97a. JungWohn97b. NamWohn97.a JungWohn98. ParkWohn98.
Wu, Jian - - - WuWohn91.
Wu, S. F. - - - WuKitt93.
Wu, T. H. - - - WuChel95.
Yen, B. L. - - - YenHuan83.
Young, G. S. - - - YounChel90. YounChel92.
Yu, Chih Ho - - - NegaYuShok90. YuNega91.
Zeller, Cyril - - - CsurZellZhan+97. FaugRobeLave+98.
Zhang, Ruo - - - ZhanShah97.
Zhang, Zhengyou 91 91 92 ZhanFaug91.a ZhanFaug92aa ZhanFaug94.a Zhan95a.ap Zhan95b.ap ZhanLuonFaug96.ap CsurZellZhan+97. Zhan97b.
Zheng, Y. - - - ZhenBillMayh+96
Zhu, W. L. - - - TsaiHuanZhu82.
Zhuang, Xinhua - - - HaraZhua86. ZhuaHuanHara86. ZhuaHuanAhuj+88. HaraJooLee+89. HuanPalaZhua+95
Zisserman, A. P. - - - BearZissMurr97.
Zoghlami, Imad - - - FaugRobeLave+98.
Zucker, Steven W. - - - TsotMyloConv+80.

Year Index

1973 Joha73.
1974 NakaLoom74.
1975 AggaDuda75. KoenVDoor75.
:
1977 ChowAgga77.
1978 MartAgga78. Nage78.
1979 JainNage79 MartAgga79
1980 Cloc80. HadaIshaGur80. JacoChieSela80. Lee80. LongPraz80. Meir80. Praz80. RoacAgga80. TsotMyloConv+80.
1981 FlinChan81. Jain81b Long81. MarrUllm81. Praz81. ThomBarn81 TsaiHuan81. Ullm81. WebbAgga81.
1982 DresNage82. JacoWech82. TsaiHuanZhu82. WebbAgga82.
1983 AsadTsuj83. BallKimb83 BrusHorn83. BuxtBuxt83a. Jain83. JayaJain83. Praz83. WohnDaviThri83. YenHuan83.
1984 FangHuan84. Jain84b JeriJain84 Kana84. Long84. Neum84. SugiSugi84. TsaiHuan84a. TsaiHuan84b.
1985 Adiv85. BuxtBuxtMurr+85a. BuxtBuxtMurr+85b. Kana85b. Mori85. RegaBeve85. ThomMutcBerz85 WaxmUllm85. WaxmWohn85.
1986 BroiChel86 HaraZhua86. Kana86. Mayb86a. Mayb86b. ScheNiem86. ShibSugiSugi86. SubbWaxm86. Ullm86. WaxmSinh86. ZhuaHuanHara86.
1987 BollBakeMari87. Horn87 Kana87. KimAgga87. KoenVDoor87. Murr87. WaxmKamgSubb87 WengHuanAhuj87.
1988 AggaNand88. Berg88. CastMurrScot+88 HornWeld88 Kana88. LiuHuan88. Miti88. MitiGrisAgga88. MurrCastBuxt88. Nage88. Simp88. Subb88 TerzWitk88. TsukAgga88. ZhuaHuanAhuj+88.
1989 Adiv89. BroiChel89. HaraJooLee+89. HuanLee89. KawaSugiSugi89. LuoMull89. MattSzelKana89. MurrCastBuxt89. NasrClifLiu89. NegaHorn89. NelsAloi89. Redd89. Subb89 Thom89. Tzir89. UrasGiroVerr+89. VerrGiroTorr89 VerrPogg89. Well89.
1990 ChenHuan90 FranBout90. KagoMiik90. Murr90. Nega90a. Nega90b. NegaYuShok90. Srin90. Subb90. VerrAica90. WohnWaxm90 YounChel90.
1991 BergCarl91. Enke91. IuWohn91. KoenVDoor91. MallBultLitt+91. Mase91. MoriHara91. Nels91. Snyd91. WuWohn91. YuNega91. ZhanFaug91.a
1992 BakuKuznLozi+92. Barn92a. Barn92b. CampVerr92 DvorKongSori92. HeegJeps92. KoenVDoor92. RangShah92. TomaKana92. WengHuanAhuj92. YounChel92. ZhanFaug92aa
1993 AzarStarHoro+93. Beus93. BoutLala93. CappMecoDBimb93 ChenShirAsad93 DMichTorrUras93. FaugPapa93.p HoltNetr93. HummSund93. IranPele93.ap Kana93. Koch93. LappRaus93. LiuHuan93. MichTorrUras93. RangAlleShah93. ShuShi93. SincBlakSmit+93. TagaToriEndo93. ThomLechStuc93 TistSand93. WengAhujHuan93. WuKitt93.
1994 AzarPent94. BarrLipt94. BozdTekaOnur94a. BozdTekaOnur94b. DijkSnoeGiel94. EndoToriTaga94. GohMart94. HuanNetr94. KappVDoorKoen94. Meye94. PeiLiou94a. PeiLiou94b. PeiLiou94c. Penn94. ShiShuPan94. ShizMase94. SincBlakMurr94. Srin94.A StriMao94 SullAhuj94. TagaToriEndo94. TsaiShah94. ZhanFaug94.a
1995 AncoPogg95. CédrShah95. DugeSans95. GramMalaTzov+95. GuShirAsad95 GuptKana95. Heik95. HuanPalaZhua+95 KellKais95. OdobBout95. OhtaKana95. SudhBaneBisw+95. WuChel95. Zhan95a.ap Zhan95b.ap
1996 ChauBoukBout+96. DVitoTsot96. EarnBlos96. GiacTorr96. GuShirAsad96 KappTPasKoen+96b. MitiBout96. Nega96. OstuDunn96 ReddLoiz96. SharAloi96. Shen96.A SudhLee96. SundBoutChau96. TagaToriEndo96. WangDunc96. ZhanLuonFaug96.ap ZhenBillMayh+96
1997 BearZissMurr97. BradReidMurr97. BrooChojBaum97. ChihCaim97. CsurZellZhan+97. IranRousPele97.ap JungWohn97a. JungWohn97b. LuonFaug97.p MalaStri97a. MeesHarr97. NakaOsaMaek+97. NamWohn97.a NiesDuncNiel+97. PeiLiou97a PeiLiou97b. TPasKappKoen97. TorrMurr97. TzovGramStri97a. WebeMali97 Zhan97b. ZhanShah97.
1998 AggaCaiLiao+98. ArgyTrahOrph98. CameGrosGuen98. EarnBlos98. FaugRobeLave+98. JungWohn98. KompTzovStri98a. ParkWohn98. PeiKoSu98.
1999 ChoPark99. TianShah99. TzovKompStri99.
2000 TzovPlosStri00.A
:

Journal Index

The numbers in the columns `R', `A', and `P' indicate the year from which on you can expect to find online references, abstracts, and papers, respectively. A '?' indicates documents, that may be accessible only to subscribers.

60 journals, 35 (58%) with homepage.

Publisher Journal R A P Reference Keys
Elsevier Artif. Intell. 70 70? 96? FlinChan81. WebbAgga82. Kana84. GuptKana95.
IOP Bioimaging 93 ? ? BarrLipt94.
Springer Biol. Cybern. 94 94 96? Praz80. Mori85. KoenVDoor87. Thom89. UrasGiroVerr+89. Srin90. VerrAica90. MallBultLitt+91. Beus93. Srin94.A
IEEE Can. Canadian J. Electric. & Comp. Eng. 95 - - EarnBlos98.
IEEE Comp. Comp. 88 88 88? Jain81b ThomBarn81 WebbAgga81.
Elsevier Comp. & Graph. - - - Neum84.
Comp. Graph. & Im. Process. - - - MartAgga78. Nage78.
Blackwell Comp. Graph. Forum - - - Koch93.
Elsevier Comp. Phys. Comm. 98 98? 98? BuxtBuxtMurr+85b.
Acad. Pr. Comp. Vis. & Im. Underst. 96 96 96? DVitoTsot96. Nega96. WangDunc96. CsurZellZhan+97. MalaStri97a. NiesDuncNiel+97. AggaCaiLiao+98.
Comp. Vis., Graph. & Im. Process. - - - Praz81. DresNage82. AsadTsuj83. BallKimb83 BrusHorn83. JayaJain83. Praz83. YenHuan83. SugiSugi84. Kana85b. HaraZhua86. Kana86. SubbWaxm86. Kana87. LiuHuan88. Miti88. TsukAgga88. ZhuaHuanAhuj+88. NegaHorn89. Subb90. WohnWaxm90 WuWohn91.
Comp. Vis., Graph. & Im. Process.: ... - - - BergCarl91. CampVerr92 GohMart94. Penn94. StriMao94 ZhanFaug94.a FaugRobeLave+98.
IEE Electron. Lett. - - - ZhenBillMayh+96 ParkWohn98.
GEC J. Res. 93 93 - BuxtBuxtMurr+85a.
IEE IEE Proc. Vis., Im. & Signal Process. ? ? ? JungWohn97a.
IEEE IEEE J. Oceanic Eng. - - - NegaYuShok90.
IEEE IEEE T. Acoust. Speech & Signal Process. - - - TsaiHuan81. TsaiHuanZhu82. TsaiHuan84b.
IEEE IEEE T. Aerospace & Electron. Sys. - - - Barn92a. Barn92b.
IEEE IEEE T. Circ. & Sys. for Video Techn. 98 - - BozdTekaOnur94a. PeiKoSu98. TzovPlosStri00.A
IEEE IEEE T. Comp. 95 95 95? AggaDuda75. ChowAgga77. Ullm81.
IEEE IEEE T. Comp. Graph. & Appl. - - - TerzWitk88.
IEEE IEEE T. Im. Process. 98 - - BozdTekaOnur94b. PeiLiou97a
IEEE IEEE T. Patt. Anal. & Mach. Intell. 95 95 95? JainNage79 JacoChieSela80. Meir80. RoacAgga80. TsotMyloConv+80. Jain83. FangHuan84. JeriJain84 TsaiHuan84a. Adiv85. ThomMutcBerz85 BroiChel86 WaxmSinh86. WengHuanAhuj87. Kana88. MitiGrisAgga88. Adiv89. HuanLee89. NelsAloi89. Subb89 VerrPogg89. ChenHuan90 Nega90b. YounChel90. Snyd91. RangShah92. WengHuanAhuj92. YounChel92. AzarStarHoro+93. DMichTorrUras93. HummSund93. LiuHuan93. MichTorrUras93. ThomLechStuc93 TistSand93. WengAhujHuan93. AzarPent94. SullAhuj94. HuanPalaZhua+95 Zhan95a.ap Zhan95b.ap ChauBoukBout+96. EarnBlos96. GuShirAsad96 OstuDunn96 BradReidMurr97. IranRousPele97.ap WebeMali97 TianShah99.
IEEE IEEE T. Robot. & Automation 98 ? ? KimAgga87. Well89. Meye94. ZhanLuonFaug96.ap
IEEE IEEE T. Sys., Man & Cybern. - - - HaraJooLee+89. SharAloi96.
IEICE IEICE T. Comm. (B) - - - Mase91.
IEICE IEICE T. Inf. & Sys. (D) - - - ChenShirAsad93 TagaToriEndo93. EndoToriTaga94. TagaToriEndo94. GuShirAsad95 OhtaKana95. TagaToriEndo96.
Elsevier Im. & Vis. Comp. - - - Jain84b Mayb86b. Murr87. CastMurrScot+88 MurrCastBuxt88. Nage88. Murr90. Enke91. ZhanFaug91.a SincBlakSmit+93. PeiLiou94b. CédrShah95. ZhanShah97.
Im. Vis. Comput. J. - - - FranBout90.
Int'l J. Comp. Math. - - - Redd89.
Kluwer Int'l J. Comp. Vis. 95 ? ? BollBakeMari87. Horn87 WaxmKamgSubb87 Berg88. HornWeld88 Subb88 MattSzelKana89. MurrCastBuxt89. Nels91. HeegJeps92. TomaKana92. ZhanFaug92aa FaugPapa93.p Kana93. SincBlakMurr94. AncoPogg95. WuChel95. GiacTorr96. MitiBout96. BearZissMurr97. LuonFaug97.p TorrMurr97.
Int'l J. Im. Sys. & Techn. - - - ReddLoiz96.
Int'l J. Robot. Res. - - - WaxmUllm85. WaxmWohn85. SundBoutChau96.
J. Circ., Sys. & Comp. - - - CappMecoDBimb93
J. Comp. Sci. & Techn. - - - ChihCaim97.
J. Inf. Sci. & Eng. 85 85 98 Shen96.A
Kluwer J. Math. Im. & Vis. 95 ? ? DvorKongSori92.
J. Optical Soc. America - - - HadaIshaGur80. BroiChel89.
OSA J. Optical Soc. America A 95 - 95? RegaBeve85. ZhuaHuanHara86. NasrClifLiu89. VerrGiroTorr89 Nega90a. KoenVDoor91. YuNega91. KoenVDoor92. DijkSnoeGiel94. KappVDoorKoen94. KellKais95. SudhBaneBisw+95. KappTPasKoen+96b. BrooChojBaum97. TPasKappKoen97. Zhan97b.
Wiley J. Robotic Sys. 96? ? ? LuoMull89.
Acad. Pr. J. Vis. Comm. & Im. Representation - - - MoriHara91. HoltNetr93. IranPele93.ap WuKitt93. OdobBout95. SudhLee96. ChoPark99.
Japanese J. Appl. Phys., Part 1 94 94 ? NakaOsaMaek+97.
Nature Nature ? ? ? Long81.
MIT Neur. Comp. 95 95 99? LappRaus93. CameGrosGuen98.
T&F Optica Acta - - - KoenVDoor75.
SPIE Optical Eng. 97 97 97? BoutLala93. TzovGramStri97a.
Optoelectronics, Instrumentation & Data Process. - - - BakuKuznLozi+92.
Elsevier Patt. Recogn. 97 97? 97? MartAgga79 WohnDaviThri83. IuWohn91. RangAlleShah93. ShuShi93. PeiLiou94a. PeiLiou94c. ShiShuPan94. TsaiShah94. PeiLiou97b.
Elsevier Patt. Recogn. Lett. - - - JacoWech82. Mayb86a. ScheNiem86. Heik95. NamWohn97.a JungWohn98.
Perc. 96 99 00? NakaLoom74. Cloc80. Simp88.
PSP Perc. & Psychophys. ? - - Joha73.
Roy. Soc. Phil. T. Roy. Soc. Lond. B - - - Lee80.
IEEE Proc. IEEE 98 - - AggaNand88. HuanNetr94.
Roy. Soc. Proc. Roy. Soc. Lond. B 97 98 98? LongPraz80. MarrUllm81. BuxtBuxt83a. Long84.
Acad. Pr. Real-Time Im. 96 96 96? JungWohn97b. ArgyTrahOrph98.
Elsevier Signal Process. 94 94? 96? Tzir89.
Elsevier Signal Process.: ... - - - DugeSans95. GramMalaTzov+95. KompTzovStri98a. TzovKompStri99.
VSP Spatial Vis. 85 - - Ullm86.
Wiley Sys. & Comp. Jap. ? ? ? ShibSugiSugi86. KawaSugiSugi89. KagoMiik90. ShizMase94.
Elsevier Vis. Res. 95 - - MeesHarr97.

Thu Aug 24 17:42:56 2006, Laurenz Wiskott, http://itb.biologie.hu-berlin.de/~wiskott/