DocumentCode
3016908
Title
Resolving the Generalized Bas-Relief Ambiguity by Entropy Minimization
Author
Alldrin, Neil G. ; Mallick, Satya P. ; Kriegman, David J.
Author_Institution
Univ. of California at San Diego, La Jolla
fYear
2007
fDate
17-22 June 2007
Firstpage
1
Lastpage
7
Abstract
It is well known in the photometric stereo literature that uncalibrated photometric stereo, where light source strength and direction are unknown, can recover the surface geometry of a Lambertian object up to a 3-parameter linear transform known as the generalized bas relief (GBR) ambiguity. Many techniques have been proposed for resolving the GBR ambiguity, typically by exploiting prior knowledge of the light sources, the object geometry, or non-Lambertian effects such as specularities. A less celebrated consequence of the GBR transformation is that the albedo at each surface point is transformed along with the geometry. Thus, it should be possible to resolve the GBR ambiguity by exploiting priors on the albedo distribution. To the best of our knowledge, the only time the albedo distribution has been used to resolve the GBR is in the case of uniform albedo. We propose a new prior on the albedo distribution : that the entropy of the distribution should be low. This prior is justified by the fact that many objects in the real-world are composed of a small finite set of albedo values.
Keywords
computational geometry; computer vision; inference mechanisms; minimisation; statistical distributions; stereo image processing; GBR ambiguity; GBR transformation; Lambertian object; albedo distribution; entropy minimization; generalized bas-relief ambiguity; intuitive reasoning; light source direction; light source strength; machine vision; surface geometry; uncalibrated photometric stereo; Entropy; Geometry; Image resolution; Light sources; Lighting; Machine vision; Photometry; Reflectivity; Snow; Surface reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
Conference_Location
Minneapolis, MN
ISSN
1063-6919
Print_ISBN
1-4244-1179-3
Electronic_ISBN
1063-6919
Type
conf
DOI
10.1109/CVPR.2007.383208
Filename
4270233
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