Revised definition of optical flow: integration of radiometrie and geometric cues for dynamic scene analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 20, Issue 9, 1998, Pages 961-979

  Negahdaripour, Shahriar ^a  

^a UNIVERSITY OF MIAMI   (United States)

Author keywords

Dynamic visual cues; Integration of radiometric and geometric cues; Motion vision; Optical flow; Time varying image analysis

Indexed keywords

IMAGE ANALYSIS; IMAGE QUALITY; IMAGE RECONSTRUCTION; MATHEMATICAL MODELS; PARAMETER ESTIMATION;

DYNAMIC VISUAL CUES; GEOMETRIC CUES; MOTION VISION; RADIOMETRIC CUES; TIME-VARYING IMAGE ANALYSIS;

OPTICAL FLOWS;

EID: 0032166366     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.713362     Document Type: Article

References (36)

1. D.H. Ballard and O.A. Kimball "Rigid Body Motion From Depth and Optical Flow," CVGIP, vol. 22, no. 1, Apr. 1983.
2. S.T. Barnard, and W.B. Thompson, "Disparity Analysis of Images," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 2, no. 4, pp. 333-340, July 1980.
3. J.L. Baron, DJ. Fleet, and S.S. Beauchemin, "Performance of Optical Flow Techniques," Int'l J. Computer Vision, vol. 12, no. 1, 1994 (also TR-299, Dept. of Computer Science, Univ. Western Ontario, Mar. 1992).
4. A. Blake and G. Brelstaff, "Geometry From Specularities," PhysicsBased Vision: Principles and Practice (Volume on Shape Recovery), L.W. Wolff, S.A. Shafer, and G.E. Healey eds. Boston, Mass.: Jones & Bartlett Publishers, 1992.
5. A.R. Bruss and B.K.P. Horn, "Passive Navigation" CVGIP, vol. 21, 1983.
6. E.N. Coleman and R.A. Jain, "Obtaining 3-Dimensional Shape of Textured and Specular Surfaces Using Four-Source Photometry," Physics-Based Vision: Principles and Practice (Volume on Shape Recovery), L.W. Wolff, S.A. Shafer, and G.E. Healey, eds. Boston, Mass.: Jones & Bartlett Publishers, 1992.
7. N. Cornelius and T. Kanade, "Adapting Optical Flow to Measure Object Motion in Reflectance and X-Ray Image Sequences," ACM SIGGRAPH/SIGART Interdisciplinary Workshop on Motion: Representation and Perception, Toronto, Canada, Apr. 1983.
8. W.E.L. Crimson, From Images to Surfaces: A Computational Study of the Human Early Vision System, Cambridge, Mass.: MIT Press.
9. W.E.L. Crimson, "Binocular Shading and Visual Surface Reconstruction," Physics-Based Vision: Principles and Practice (Volume on Shape Recovery), L.W. Wolff, S.A. Shafer, and G.E. Healey eds. Boston, Mass.: Jones & Bartlett Publishers, 1992.
10. E.G. Hildreth, The Measurement of Visual Motion. Cambridge, Mass.: MIT Press, 1983.
11. B.K.P. Horn and E.G. Schunck, "Determining Optical Flow," Artificial Intelligence, vol. 17,1981.
12. B.K.P. Horn, Robot Vision. Cambridge, Mass.: MIT Press, 1986.
13. J.K. Kearney, W.B. Thompson, and D.L. Boley, "Optical Flow Estimation: An Error Analysis of Gradient-Based Methods With Local Optimization," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 9, no. 2, Mar. 87.
14. J.R. Kender and E.M. Smith, "Shape From Darkness: Deriving Surface Information From Dynamic Shadows," Physics-Based Vision: Principles and Practice (Volume on Shape Recovery), L.W. Wolff, S.A. Shafer, and G.E. Healey, eds. Boston, Mass.: Jones & Bartlett Publishers, 1992.
15. H.C. Longuet-Higgins and K. Prazdny, "The Interpretation of a Moving Retinal Image," Proc. Royal Soc. London B, vol. 208,1980.
16. L. Matthies, R. Szeliski, and T. Kanade, "Incremental Estimation of Dense Maps From Image Sequences," Proc. Computer Vision and Pattern Recognition, Ann Arbor, Mich., June, 1988.
17. N. Mukawa, "Estimation of Shape, Reflection Coefficients and Illumination Direction From Image Sequences," Proc. Int'l Conf. Computer Vision '90, Osaka, Japan, Dec. 1990.
18. H.H. Nagel and Enkelmann "An Investigation of the Smoothness Constraints for the Estimation of Vector Fields From Image Sequences," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 8, no. 5, pp. 565-593, Sept. 1986.
19. H.H. Nagel, "On a Constraint Equation for the Estimation of Displacement Rates in Image Sequences," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 11, no. 1, pp. 13-30, Jan. 1989.
20. S. Negahdaripour, A. Shokrollahi, and M. Gennert, "Relaxing the Brightness Constancy Assumption in Computing Optical Flow," Proc. ICIP-89, Singapore, Sept. 1989.
21. S. Negahdaripour, and C. H. Yu, "A Generalized Brightness Change Model for Computing Optical Flow," Proc. Int'l Conf. Computer Vision, Germany, 1993.
22. S. Negahdaripour "Revised Representation of Optical Flow for Dynamic Scene Analysis," Proc. ISCV, Coral Gables, Fla., Nov. 1995.
23. S. Negahdaripour, and L. Jin, "Direct Recovery of Motion and Range From Images of Scenes With Time-Varying Illumination," Proc. ISCV, Coral Gables, Fla., Nov. 1995.
24. A. Pentland, "Photometric Motion," Proc. ICCV-90 Osaka, Japan, Sept. 1990.
25. E.G. Schunck, "Image Flow: Fundamentals and Future Research," Proc. Computer Vision and Pattern Recognition '85, San Francisco, Calif., June 1985.
26. A. Spoerri and S. Ullman, "The Early Detection of Motion Boundary," Proc. ICCV, London, England, June 1987.
27. W.B. Thompson and T.C. Pong, "Detecting Moving Objects," Proc. Int'l Conf. Computer Vision, June 1987.
28. M. Tistarelli "Computation of Coherent Optical Flow by Using Multiple Constraints," Proc Int'l Conf. Computer Vision, Boston, Mass., 1995.
29. S. Uras, F. Girosi, A. Verri, and V. Torre, "A Computational Approach to Motion Perception," Bio. Cybernetics, vol. 60,1988.
30. A. Verri, and T. Poggio, "Motion Field and Optical Flow: Qualitative Properties," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 11, no. 5, pp. 490-498, May 1989.
31. L.B. Wolff, "Shape From Lambertian Photometric Flow Fields," Proc Computer Vision and Pattern Recognition, San Diego, Calif., 1989.
32. R.J. Woodham "Multiple Light Source Optical Flow," Int'l Conf. Computer Vision Osaka, Japan, Dec. 1990.
33. RJ. Woodham, "Photometric Method for Determining Surface Orientation From Multiple Images," Physics-Based Vision: Principles and Practice (Volume on Shape Recovery), L.W. Wolff, S.A. Shafer, and G.E. Healey, eds. Boston, Mass.: Jones & Bartlett Publishers, 1992 (also in Optical Engineering, vol. 19, no. 1, Jan. 1980).
34. C.H. Yu, S. Negahdaripour, "Motion Recovery in LightAttenuating Media From Image Shading Variations," J. Optical Soc. of Am., vol. 9, no. 7, July 1992.
35. J.Y. Zheng, Y. Fukagawa, and N. Abe, "Shape and Model From Specular Motion," Proc. Int'l Conf. Computer Vision, Boston, Mass., 1995.
36. A. Zisserman, P. Giblin, and A. Blake, "The Information Available to a Moving Observer From Specularities," Image and Vision Computing, vol. 7, no. 1,1989.