This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
The Generic Viewpoint Assumption and Planar Bias
June 2003 (vol. 25 no. 6)
pp. 775-778

Abstract—We show that generic viewpoint and lighting assumptions resolve standard visual ambiguities by biasing toward planar surfaces. Our model uses orthographic projection with a two-dimensional affine warp and Lambertian reflectance functions, including cast and attached shadows. We use uniform priors on nuisance variables such as viewpoint direction and the light source. Limitations of using uniform priors on nuisance variables are discussed.

[1] M.K. Albert and D.D. Hoffman, The Generic-Viewpoint Assumption and Illusory Contours Perception, vol. 29, no. 3, pp. 303-312, 2000.
[2] P.N. Belhumeur, D. Kriegman, and A.L. Yuille, The Generalized Bas Relief Ambiguity Int'l J. Computer Vision, vol. 35, no. 1, pp. 33-44, 1999.
[3] J.O. Berger, Statistical Decision Theory and Bayesian Analysis, second ed. New York: Springer-Verlag, 1985.
[4] T.O. Binford, Inferring Surfaces from Images Artificial Intelligence, vol. 17, pp. 205-244, 1981.
[5] D.H. Brainard and W.H. Freeman, Bayesian Method for Recovering Surface and Illuminant Properties from Photosensor Responses Proc. SPIE, vol. 2719, 1994.
[6] O. Faugeras, Stratification of 3-D Vision: Projective, Affine, and Metric Representations J. Optical Soc. Am., vol. 12, no. 7, pp. 465-484, 1995.
[7] W.T. Freeman, The Generic Viewpoint Assumption in a Framework for Visual Perception Nature, vol. 368, pp. 542-545, 1994.
[8] J.J. Gibson, The Perception of Visual Surfaces Am. J. Experimental Psychology, vol. 63, pp. 367-384, 1950.
[9] R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision. Cambridge Univ. Press, 2000.
[10] J.J. Koenderink and A. Van Doorn, Affine Structure from Motion J. Optical Soc. Am., vol. 8, no. 2. pp. 377-385, 1991.
[11] D.G. Lowe and T.O. Binford, The Recovery of Three-Dimensional Structure from Image Curves IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 7, no. 3, pp. 320-326, 1985.
[12] B.D. Ripley, Pattern Recognition and Neural Networks. Cambridge Univ. Press, 1996.
[13] D. Weinshall and M. Werman, “On View Likelihood and Stability,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, pp. 97-108, 1997.
[14] M. Werman and D. Weinshall, “Similarity and Affine Invariant Distances between 2D Point Sets,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 17, no. 8, pp. 810-814, Aug. 1995.
[15] A.L. Yuille and H.H. Bülthoff, Bayesian Decision Theory and Psychophysics Bayesian Approaches to Perception, D. Knill and W. Richards, eds., Cambridge Univ. Press, 1996.
[16] A.L. Yuille, J.M. Coughlan, and S. Konishi, The Generic Viewpoint Constraint Resolves the Generalized Bas Relief Ambiguity Proc. Conf. Information Sciences and Systems, Mar. 2000.
[17] A.L. Yuille, J.M. Coughlan, and S. Konishi, The KGBR Viewpoint-Lighting Ambiguity and Its Resolution by Generic Constraints Proc. Int'l Conf. Computer Vision, 2001.

Index Terms:
Generic viewpoint, Bayesian inference, visual ambiguities.
Citation:
A.L. Yuille, James M. Coughlan, S. Konishi, "The Generic Viewpoint Assumption and Planar Bias," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 6, pp. 775-778, June 2003, doi:10.1109/TPAMI.2003.1201826
Usage of this product signifies your acceptance of the Terms of Use.