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
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on
Print_ISBN :
0-7695-1900-8
DOI :
10.1109/CVPR.2003.1211402