DocumentCode :
2222968
Title :
Stereoscopic shading: integrating multi-frame shape cues in a variational framework
Author :
Jin, Hailin ; Yezz, Anthony ; Soatto, Stefano
Author_Institution :
Washington Univ., St. Louis, MO, USA
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
169
Abstract :
We address the problem of integrating multi-frame stereo and shading cues within the framework of optimization in the infinite-dimensional space of piecewise smooth surfaces. Cue integration then reduces to the determination of regions where prior assumptions on the reflectance of the surfaces can be enforced. By combining cues, our formulation allows defining a well-posed problem even when reconstruction from stereo or shading in isolation would be ill-posed. For a simplified model we prove the necessary conditions for optimality, and propose an iterative optimization algorithm, which we implement using ultra-narrowband level set methods
Keywords :
computer vision; iterative methods; optimisation; stereo image processing; iterative optimization algorithm; multi-frame shape cues integration; necessary conditions; optimality; piecewise smooth surfaces; stereoscopic shading; ultra-narrowband level set methods; variational framework; Bismuth; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
Conference_Location :
Hilton Head Island, SC
ISSN :
1063-6919
Print_ISBN :
0-7695-0662-3
Type :
conf
DOI :
10.1109/CVPR.2000.855816
Filename :
855816
Link To Document :
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