Dense specular shape from multiple specular flows

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Vasilyev, Yuriy ^a   Adato, Yair ^b   Zickler, Todd ^a   Ben Shahar, Ohad ^b  

^a HARVARD UNIVERSITY   (United States)

^b BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

AIRCRAFT ENGINES; ARTIFICIAL INTELLIGENCE; COMPUTER VISION; EQUATIONS OF MOTION; FEATURE EXTRACTION; IMAGE PROCESSING; PARTIAL DIFFERENTIAL EQUATIONS; PATTERN RECOGNITION; SOLUTIONS;

ANALYTIC SOLUTIONS; EXPLICIT KNOWLEDGE; FLOW EQUATIONS; IMAGE DATA; INFERENCE PROBLEMS; NON-LINEAR; RELATIVE MOTIONS; SURROUNDING ENVIRONMENT;

LINEAR EQUATIONS;

EID: 51949094979     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587685     Document Type: Conference Paper

References (24)

1. Y. Adato, Y. Vasilyev, O. Ben-Shahar, and T. Zickler. Toward a theory of shape from specular flow. In ICCV, 2007.
2. A. Blake. Specular stereo. In Proc. of the Int. Joint Conf. on Artif. Intell., pages 973-976, 1985.
3. A. Blake and G. Brelstaff. Geometry from specularities. In ICCV, 1988.
4. A. Blake and H. Bülthoff. Does the brain know the physics of specular reflection? Nature, 343:165-168, 1990.
5. A. Blake and H. Bülthoff. Shape from specularities: Computation and psychophysics. Philosophical Transactions: Biological Sciences, 331(1260):237-252, 1991.
6. T. Bonfort, P. Sturm, and P. Gargallo. General specular surface triangulation. In Proc. ACCV, pages 872-881, 2006.
7. O. Drbohlav and M. Chantler. Can two specular pixels calibrate photometric stereo? In ICCV, pages 1850-1857, 2005.
8. O. Drbohlav and R. Šára. Specularities reduce ambiguity of uncalibrated photometric stereo. In ECCV, pages 46-60, 2000.
9. R. Fleming, A. Torralba, and E. Adelson. Specular reflections and the perception of shape. Journal of Vision, 4:798-820, 2004.
10. K. Ikeuchi. Determining surface orientations of specular surfaces by using the photometric stereo method. IEEE Trans. Pattern Anal. Mach. Intell., 3(6):661-669, 1981.
11. J. Koenderink and A. van Doorn. Photometric invariants related to solid shape. Optical Acta, 27(7):981-996, 1980.
12. K. Kutulakos and E. Steger. A theory of refractive and specular 3D shape by light-path triangulation. In ICCV, pages 1448-1455, 2005.
13. M. Longuet-Higgins. Reflection and refraction at a random moving surface. I. pattern and paths of specular points. J. Opt. Soc. Am., 50(9):838-844, 1960.
14. S. Nayar, K. Ikeuchi, and T. Kanade. Determining shape and reflectance of hybrid surfaces by photometric sampling. IEEE Trans. Robotics and Automation, 6(4):418-431, 1990.
15. M. Oren and S. Nayar. A theory of specular surface geometry. Int. J. Comput. Vision, 24(2):105-124, 1997.
16. M. Osadchy, D. Jacobs, and R. Ramamoorthi. Using specularities for recognition. In ICCV, pages 1512-1519, 2003.
17. S. Roth and M. Black. Specular flow and the recovery of surface structure. In Proc. CVPR, pages 1869-1876, 2006.
18. S. Savarese, M. Chen, and P. Perona. Local shape from mirror reflections. Int. J. Comput. Vision, 64(1):31-67, 2005.
19. S. Savarese, F. Li, and P. Perona. What do reflections tell us about the shape of a mirror? In Symp. Applied Percept. Graph. Visualiz., 2004.
20. J. Solem, H. Aanaes, and A. Heyden. A variational analysis of shape from specularities using sparse data. In Proc. 3D Data Processing, Visualization, and Transmission, pages 26-33, 2004.
21. S.Waldon and C. Dyer. Dynamic shading, motion parallax and qualitative shape. In Proc. IEEE Workshop on Qualitative Vision, pages 61-70, New York City, NY, USA, 1993.
22. J. Zheng, Y. Fukagawa, and N. Abe. Shape and model from specular motion. In ICCV, pages 72-79, 1995.
23. J. Zheng and A. Murata. Acquiring a complete 3D model from specular motion under the illumination of circular-shaped light sources. IEEE Trans. Pattern Anal. Mach. Intell., 22(8):913-920, 2000.
24. A. Zisserman, P. Giblin, and A. Blake. The information available to a moving observer from specularities. Image and Vision Computing, 7:38-42, 1989.