On Photometric Issues in 3D Visual Recognition from a Single 2D Image

International Journal of Computer Vision

Volumn 21, Issue 1-2, 1997, Pages 99-122

  Shashua, Amnon ^a  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER VISION; EQUIVALENCE CLASSES; LIGHTING; PHOTOMETRY; THREE DIMENSIONAL COMPUTER GRAPHICS;

IMAGE REPRESENTATIONS; PHOTOMETRIC SOURCES; VIEWING POSITIONS;

OBJECT RECOGNITION;

EID: 0030645338     PISSN: 09205691     EISSN: None     Source Type: Journal    
DOI: 10.1023/a:1007975506780     Document Type: Article

References (57)

1. Aloimonos, J. and Brown, C.M. 1989. On the kinetic depth effect. Biological Cybernetics, 60:445-455.
2. Arnheim, R. 1954. Art and Visual Perception: A Psychology of the Creative Eye, University of California Press: Berkeley, CA.
3. Cavanagh, P. 1990. What's up in top-down processing? In Proceedings of the XIIIth ECVP, A. Gorea (Ed.), pp. 1-10.
4. Coleman, E.N., Jr. and Jain, R. 1982. Obtaining 3-dimensional shape of textured and specular surfaces using four-source photometry. Computer Graphics and Image Processing, 18:309-328.
5. Curtis, S.R., Oppenheim, A.V., and Lim, J.S. 1985. Signal reconstruction from Fourier transform sign information. IEEE Transactions on Acoustic Speech and Signal Processing, ASSP-33:643-657.
6. Duda, R.O. and Hart, P.E. 1973. Pattern Classification and Scene Analysis. John Wiley: New York.
7. Farah, M.J. 1990. Visual Agnosia. MIT Press: Cambridge, MA.
8. Faugeras, O.D. 1992. What can be seen in three dimensions with an uncalibrated stereo rig? In Proceedings of the European Conference on Computer Vision, Santa Margherita Ligure, Italy, pp. 563-578.
9. Fischler, M.A. and Bolles, R.C. 1981. Random sample concensus: A paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24:381-395.
10. Freeman, W.T. and Adelson, E.H. 1991. The design and use of steerable filters. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-13.
11. Gilchrist, A.L. 1979. The perception of surface blacks and whites. SIAM J. Comp., pp. 112-124.
12. Hartley, R., Gupta, R., and Chang, T. 1992. Stereo from uncalibrated cameras. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Champaign, IL, pp. 761-764.
13. Hille, E. 1962. Analytic Function Theory. Ginn/Blaisdell: Waltham, MA.
14. Horn, B.K.P. 1986. Robot Vision. MIT Press: Cambridge, Mass.
15. Horn, B.K.P. and Schunk, B.G. 1981. Determining optical flow. Artificial Intelligence, 17:185-203.
16. Huang, T.S. and Lee, C.H. 1989. Motion and structure from orthographic projections. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-11:536-540.
17. Huttenlocher, D.P. and Ullman, S. 1987. Object recognition using alignment. In Proceedings of the International Conference on Computer Vision, London, pp. 102-111.
18. Huttenlocher, D.P. and Ullman, S. 1990. Recognizing solid objects by alignment with an image. International Journal of Computer Vision, 5(2):195-212.
19. Kinsbourne, M. and Warrington, E.K. 1962. A disorder of simultaneous form perception. Brain, 85:461-486.
20. Klinker, G.J., Shafer, S.A., and Kanade, T. 1990. A physical approach to color image understanding. International Journal of Computer Vision, 4:7-38.
21. Knill, D.C. and Kersten, D. 1991. Apparent surface curvature affects lightness perception. Nature, 351:228-230.
22. Koenderink, J.J. and Van Doom, A.J. 1980. Photometric invariants related to solid shape. Optica Acta, 27:981-986.
23. Koenderink, J.J. and Van Doorn, A.J. 1991. Affine structure from motion. Journal of the Optical Society of America, 8:377-385.
24. Land, E.H. and McCann, J.J. 1971. Lightness and retinex theory. Journal of the Optical Society of America, 61:1-11.
25. Logan, B. 1977. Information in the zero-crossings of band pass signals. Bell Syst. Tech. J., 56:510.
26. Lowe, D.G. 1985. Perceptual Organization and Visual Recognition. Kluwer Academic Publishing: Hingham, MA.
27. Maloney, L.T. and Wandell, B. 1986. A computational model of color constancy. Journal of the Optical Society of America, 1:29-33.
28. Marr, D. 1979. Early processing of visual information. Proceedings of the Royal Society of London B, 175:483-534.
29. Marr, D. 1982. Vision. W.H. Freeman and Company: San Francisco, CA.
30. Marr, D. and Hildreth, E.C. 1980. Theory of edge detection. Proceedings of the Royal Society of London B, 207:187-217.
31. Mooney, C.M. 1960. Recognition of ambiguous and unambiguous visual configurations with short and longer expsures. Brit. J. Psychol., 51:119-125.
32. Morrone, M.C. and Burr, D.C. 1988. Feature detection in human vision: A phase-dependent energy model. Proceedings of the Royal Society of London B, 235:221-245.
33. Moses, Y. 1993. Face recognition: Generalization to novel images. Ph.D. Thesis, Applied Math. and Computer Science, The Weizmann Institute to Science, Israel.
34. Mundy, J. and Zisserman, A. 1992. Geometric Invariances in Computer Vision, MIT Press: Cambridge.
35. Mundy, J.L., Zisserman, A., and Forsyth, D. 1994. Applications of Invariance in Computer Vision, Springer-Verlag: LNCS 825.
36. Nakayama, K., Shimojo, S., and Silverman, G.H. 1989. Stereoscopic depth: Its relation to image segmentation, grouping, and the recognition of occluded objects, Perception, 18:55-68.
37. Nishihara, H.K. 1984. Practical real-time imaging stereo matcher. Optical Engineering, 23(5):536-545.
38. Pearson, D.E., Hanna, E., and Martinez, K. 1986. Computer-generated Cartoons. In Images and Understanding, H. Barlow, C. Blakemore, and M. Weston-Smith (Eds.), Cambridge University Press: New York, NY, 1990. Collection based on Rank Prize Funds' International Symposium, Royal Society.
39. Perona, P. and Malik, J. 1990. Detecting an localizing edges composed of steps, peaks and roofs. In Proceedings of the International Conference on Computer Vision, Osaka, Japan.
40. Poggio, T. 1990. 3D object recognition: On a result of Basri and Ullman. Technical Report IRST 9005-03.
41. Potter. M.C. 1975. Meaning in visual search. Science, 187:965-966.
42. Rosenblatt, F. 1962. Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms. Spartan Books: Washington, DC.
43. Saff, E.B. and Snider, A.D. 1976. Fundamentals of Complex Analysis. Prentice-Hall: New-Jersey.
44. Sanz, J. and Huang, T. 1989. Image representations by sign information. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-11:729-738.
45. Shafer, S.A. 1985. Using color to separate reflection components. COLOR Research and Applications, 10:210-218.
46. Shashua, A. 1991. Correspondence and affine shape from two orthographic views: Motion and recognition. A.I. Memo No. 1327, Artificial Intelligence Laboratory, Massachusetts Institute of Technology.
47. Shashua, A. 1992. Geometry and photometry in 3D visual recognition. Ph.D. Thesis, M.I.T. Artificial Intelligence Laboratory, AI-TR-1401.
48. Shashua, A. 1994. Projective structure from uncalibrated images: Structure from motion and recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(8):778-790.
49. Shashua, A. 1995. Algebraic functions for recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(8):779-789.
50. Shashua, A. and Navab, N. 1996. Relative affine structure: Canonical model for 3D from 2D geometry and applications. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(9).
51. Shashua, A. and Toelg, S. 1994. The quadric references surface: Applications in registering views of complex 3D objects. In Proceedings of the European Conference on Computer Vision, Stockholm, Sweden.
52. Shashua, A. and Ullman, S. 1988. Structural saliency: The detection of globally salient structures using a locally connected network. In Proceedings of the International Conference on Computer Vision, Tampa, FL, pp. 321-327.
53. Shashua, A. and Ullman, S. 1991. Grouping contours iterated pairing network. In Advances in Neural Information Processing Systems 3, R.P. Lippmann, J.E. Moody, and D.S. Touretzky (Eds.), Morgan Kaufmann Publishers: San Mateo, CA, pp. 335-341. Proceedings of the Third Annual Conference NIPS, Dec. 1990, Denver, CO.
54. Shashua, A. and Ullman, S. 1991. Grouping contours iterated pairing network. In Advances in Neural Information Processing Systems 3, R.P. Lippmann, J.E. Moody, and D.S. Touretzky (Eds.), Morgan Kaufmann Publishers: San Mateo, CA, pp. 335-341. Proceedings of the Third Annual Conference NIPS, Dec. 1990, Denver, CO.
55. Ullman. S. 1986. Aligning pictorial descriptions: An approach to object recognition. Cognition, 32:193-254, 1989. Also in MIT AI Memo 931.
56. Ullman S. and Basri. R. 1989. Recognition by linear combination of models. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-13:992-1006, 1991. Also in M.I.T. AI Memo 1052.
57. R.J. Woodham. 1980. Photometric method for determining surface orientation from multiple images. Optical Engineering, 19:139-144.