Scope: This bibliography contains references to algorithms for estimating depth from stereo.

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

• Bibliography Motion Processing (a superset of this bibliography)
• Bibliography Optical Flow Estimation
• Bibliography Image Motion Analysis
• Bibliography Segmentation from Motion
• Bibliography Visual Tracking
• Bibliography Video Coding

References

1. AhujAbbo93.

Ahuja, N. and Abbott, A.L. (1993).
Active Stereo: Integrating Disparity, Vergence, Focus, Aperture, and Calibration for Surface Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(10):1007-1029.

2. 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.

3. 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.

4. CernCoopHung+89.

Cernuschi-Frias, B., Cooper, D.B., Hung, Y.P., and Belhumeur, P.N. (1989).
Toward a model-based Bayesian theory for estimating and reccognizing parameterized 3D objects using two or more images taken from different position
IEEE Transactions on Pattern Analysis and Machine Intelligence, 11:1028-1052.

5. CornDrou93.

Cornilleau-Peres, V. and Droulez, J. (September 1993).
Velocity-Based Correspondence in Stereokinetic Images
Computer Vision, Graphics and Image Processing: Image Understanding, 58(2):137-146.

6. CryeTsaiShah95.

Cryer, J., Tsai, P.S., and Shah, M.A. (July 1995).
Combining Stereo and Shading
Pattern Recognition, 28(7):1033-1043.

7. CumaGuid97.

Cumani, A. and Guiducci, A. (1997).
Recovering the 3D structure of tubular objects from stereo silhouettes
Pattern Recognition, 30(7).

8. DickPentRose92.

Dickinson, S., Pentland, A.P., and Rosenfeld, A. (1992).
3-D Shape Recovery using Distributed Aspect Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(2):174-198.

9. FairReidMurr98.

Fairley, S.M., Reid, I.D., and Murray, D.W. (1998).
Transfer of Fixation using Affine Structure: Extending the Analysis to Stereo
International Journal of Computer Vision, 29(1):47-58.

10. FaugLBrasBois90.

Faugeras, O.D., Le Bras-Mehlman, E, and Boissonnat, J.D. (1. July 1990).
Representing stereo data with the Delaunay triangulation
Artificial Intelligence, 44(1-2):41-87.

11. FaugRobe96.

Faugeras, O.D. and Robert, L. (1996).
What can two images tell us about a third one?
International Journal of Computer Vision, 18(1):5-20.
(.fr-paper.ps.gz)

12. 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.

13. GramStri98.

Grammalidis, N. and Strintzis, M.G. (June 1998).
Disparity and Occlusion Estimation in Multiocular Systems and their Coding for the Communication of Multiview Image Sequences
IEEE Transactions on Circuits and Systems for Video Technology, 8(3):327-344.

14. Grim85.

Grimson, W.E.L. (1985).
Computational experiments with a feature based stereo algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence, 7(1):17-34.

15. JenkTsot86.

Jenkin, M. and Tsotsos, J.K. (1986).
Applying temporal constraints to the dynamic stereo problem
Computer Vision, Graphics and Image Processing, 24:16-32.

16. 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.

17. KangParkLee94.

Kang, M.S., Park, R.H., and Lee, K.H. (1994).
Recovering an elevation map by stereo modeling of the aerial image sequence
Optical Engineering, 33(11):3793-3802.

18. KimPark97.

Kim, B.H. and Park, R.H. (June 1997).
Shape from shading and photometric stereo using surface approximation by Legendre polynomials
Computer Vision and Image Understanding, 66(3):255-270.

19. KimPark98.

Kim, B.H. and Park, R.H. (August 1998).
Multi-image photometric stereo using surface approximation by Legendre polynomials
Pattern Recognition, 31(8):1033-1047.

20. KimChoiPark92.

Kim, D.H., Choi, W.Y., and Park, R.H. (1992).
Stereo matching technique based on the theory of possibility
Pattern Recognition Letters, 13(10):735-744.

21. KimKooChoi+96.

Kim, D.H., Koo, K.B., Choi, W.Y., and Park, R.H. (1996).
Stereo matching using hierarchical features for robotic applications
Advanced Robotics: The International Journal of the Robotics Society of Japan, 10(1):1-14.

22. KimPark94.

Kim, D.H. and Park, R.H. (1994).
Analysis of quantization error in line-based stereo matching
Pattern Recognition, 27(7):913-924.

23. 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.

24. KitaYach90.

Kitamura, Y. and Yachida, M. (1990).
Three-dimensional data accquisition by trinocular vision
Advanced Robotics: The International Journal of the Robotics Society of Japan, 4(1):29-42.

25. Koch93.

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

26. 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.

27. LappGrig99.

Lappe, M. and Grigo, A. (1999).
How stereo vision interacts with optic flow perception: Neural mechanisms
Neural Networks, 12(9).

28. LeviOHandYagi73.

Levine, M.D., O'Handley, D.A., and Yagi, G.M. (1973).
Computer determination of depth maps
Computer Graphics and Image Processing, 2:131-150.

29. MalaStri96.

Malassiotis, S. and Strintzis, M.G. (1996).
Joint Motion/Disparity MAP Estimation for Stereo Image Sequences
IEE Proceedings on Vision, Image and Signal Processing, 143(2):101-108.

30. 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.

31. MarrPogg76.

Marr, D. and Poggio, T. (1976).
Cooperative computation of stereo disparity
Science, 194(4262):283-287.

32. MayhFris81.

Mayhew, J.E.W. and Frisby, J.P. (1. August 1981).
Psychophysical and Computational Studies Towards a Theory of Human Stereopsis
Artificial Intelligence, 17(1-3):349-385.

33. MIntoMutc88.

McIntosh, J.H. and Mutch, K.M. (September 1988).
Matching Straight Lines
Computer Vision, Graphics and Image Processing, 43(3):386-408.

34. Murr95.

Murray, D.W. (March 1995).
Recovering range using virtual multicamera stereo
Computer Vision and Image Understanding, 61(2):285-291.

35. 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.

36. 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).

37. NegaHayaAloi95.

Negahdaripour, S., Hayashi, B.Y., and Aloimonos, Y. (1. December 1995).
Direct Motion Stereo for Passive Navigation
IEEE Transactions on Robotics and Automation, 11(6):829.

38. OhtaKana85.

Ohta, Y. and Kanade, T. (1985).
Stereo by intra- and inter-scanline search
IEEE Transactions on Pattern Analysis and Machine Intelligence, 7(2):139-154.

39. PeiLiou93.

Pei, S.C. and Liou, L.G. (1993).
Tracking a Planar Patch in 3-D space by Affine Transformation in Binocular Vision
Pattern Recognition, 26(1):23-31.

40. PollMayhFris85.

Pollard, S.B., Mayhew, J.E.W., and Frisby, J.P. (1985).
PMF: A stereo correspondence algorithm using a disparity gradient constraint
Perception, 14:449-470.

41. QianMika00.

Qian, N. and Mikaelian, S. (2000).
Relationship between Phase and Energy Methods for Disparity Computation
Neural Computation, 12:279-292.
(.org-Abstract, .edu-paper.ps.Z)

42. RothFaugCsur97.

Rothwell, C., Faugeras, O.D., and Csurka, G. (October 1997).
A Comparison of Projective Reconstruction Methods for Pairs of Views
Computer Vision and Image Understanding, 68(1):37-58.

43. ScheNiem86.

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

44. 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.

45. Smit93-07.

Smith, S.M. (1993-07).
Note on small angle approximations for stereo disparity
Image and Vision Computing, 11(6).

46. 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.

47. TheiMall94

Theimer, W.M. and Mallot, H.A. (1994).
Phase-Based Binocular Vergence Control and Depth Reconstruction Using Active Vision
Computer Vision, Graphics and Image Processing: Image Understanding, 60(3):343-358.

48. TzovGramStri96

Tzovaras, D., Grammalidis, N., and Strintzis, M.G. (1996).
Joint three-dimensional motion/disparity segmentation for object-based stereo image sequence coding
Optical Engineering, 35(1):137-143.

49. 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).

50. TzovGramStri97b.

Tzovaras, D., Grammalidis, N., and Strintzis, M.G. (1. April 1997 b).
Object-Based Coding of Stereo Image Sequences using Joint 3-D Motion/Disparity Compensation
IEEE Transactions on Circuits and Systems for Video Technology, 7(2):312.

51. TzovGramStri98.

Tzovaras, D., Grammalidis, N., and Strintzis, M.G. (5. January 1998).
Disparity Field and Depth Map Coding for Multiview 3D Image Generation
Signal Processing: Image Communication, 11(3):205-230.

52. 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).

53. TzovStri98a.

Tzovaras, D. and Strintzis, M.G. (1. April 1998 a).
Motion and Disparity Field Estimation Using Rate Distortion Optimization
IEEE Transactions on Circuits and Systems for Video Technology, 8(2):171-181.

54. TzovStriSahi94.

Tzovaras, D., Strintzis, M.G., and Sahinoglou, H. (1. March 1994).
Evaluation of multiresolution techniques for motion and disparity estimation
Signal Processing: Image Communication, 6(1):59-67.

55. ValeDCaroCres96

Valentinotti, F., Di Caro, G., and Crespi, B. (1996).
Real-time parallel computation of disparity and optical flow using phase difference
Machine Vision and Applications, 9(3):87-96.
(.com-Abstract)

56. VerrTorr86.

Verri, A. and Torre, V. (1986).
Absolute Depth Estimate in Stereopsis
J. of the Optical Society of America A, 3:297-299.

57. 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.

58. WaxmDunc86.

Waxman, A.M. and Duncan, J.H. (1986).
Binocular Image Flows: Steps Toward Stereo-Motion Fusion
IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(6):715-729.

59. 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.

60. WengAhujHuan92.

Weng, J., Ahuja, N., and Huang, T.S. (1992).
Matching two perspective views
IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(8):806-825.

61. WortAgga83.

Worthy, W.N. and Aggarwal, J.K. (March 1983).
Volumetric Descriptions of Objects from Multiple Views
IEEE Transactions on Pattern Analysis and Machine Intelligence, 5(2):150-158.

62. XionShaf97.

Xiong, Y. and Shafer, S.A. (1997).
Moment and hypergeometric filters for high precision computation of focus, stereo and optical flow
International Journal of Computer Vision, 22(1):25-59.

63. YakiCunn78.

Yakimovsky, Y. and Cunningham, R. (1978).
A system for extracting three-dimensional measurements from a stereo pair of TV cameras
Computer Graphics and Image Processing, 7:195-210.

64. ZhanShah97.

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

65. 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)

66. 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)

67. Zhan97a.

Zhang, Z. (1997 a).
A Stereovision System for a Planetary Rover: Calibration, Correlation, Registration, and Fusion
Machine Vision and Applications, 10(1):27-34.
(.com-Abstract, .fr-abstract, .com-Paper.pdf?, .fr-paper.ps.gz)

68. Zhan97c.

Zhang, Z. (1997 c).
Determining the Epipolar Geometry and its Uncertainty: A Review
International Journal of Computer Vision, 27(2):161.

69. ZhanDeriFaug+95.

Zhang, Z., Deriche, R., Faugeras, O.D., and Luong, Q.T. (30. November 1995).
A Robust Technique for Matching Two Uncalibrated Images Through the Recovery of the Unknown Epipolar Geometry
Artificial Intelligence, 78(1/2):87-119.
(-abstract, .fr-abstract, .fr-paper.ps.gz)

70. 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)

71. ZhanFaug92b.

Zhang, Z. and Faugeras, O.D. (1992 b).
Estimation of displacements from two 3-D frames obtained from stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(12):1141-1156.
(.fr-abstract)

72. 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)

Author Index

108 authors, 13 (12%) with homepage. First author references are printed boldface.

Year Index

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.

25 journals, 16 (64%) with homepage.