DocumentCode
1641018
Title
Toward a stratification of Helmholtz stereopsis
Author
Zickler, Todd E. ; Belhumeur, Peter N. ; Kriegman, David J.
Author_Institution
Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
Volume
1
fYear
2003
Abstract
Helmholtz stereopsis has been previously introduced as a surface reconstruction technique that does not assume a model of surface reflectance. This technique relies on the use of multiple cameras and light sources, and it has been shown to be effective when the camera and source positions are known. Here, we take a stratified look at uncalibrated Helmholtz stereopsis. We derive a photometric matching constraint that can be used to establish correspondence without any knowledge of the cameras and sources (except that they are co-located), and we determine conditions under which we can obtain affine and metric reconstructions. An implementation and experimental results are presented.
Keywords
cameras; image matching; image reconstruction; photometric light sources; solid modelling; stereo image processing; Helmholtz stereopsis; affine reconstruction; light source; metric reconstruction; multiple camera; photometric matching constraint; stratification; surface reconstruction; surface reflectance; Cameras; Computer Society; Image reconstruction; Light sources; Lighting; Photometry; Reflectivity; Shape; Stereo vision; Surface reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on
ISSN
1063-6919
Print_ISBN
0-7695-1900-8
Type
conf
DOI
10.1109/CVPR.2003.1211402
Filename
1211402
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