DocumentCode :
639429
Title :
The Episolar Constraint: Monocular Shape from Shadow Correspondence
Author :
Abrams, A. ; Miskell, Kylia ; Pless, Robert
Author_Institution :
Washington Univ. in St. Louis, St. Louis, MO, USA
fYear :
2013
fDate :
23-28 June 2013
Firstpage :
1407
Lastpage :
1414
Abstract :
Shadows encode a powerful geometric cue: if one pixel casts a shadow onto another, then the two pixels are colinear with the lighting direction. Given many images over many lighting directions, this constraint can be leveraged to recover the depth of a scene from a single viewpoint. For outdoor scenes with solar illumination, we term this the episolar constraint, which provides a convex optimization to solve for the sparse depth of a scene from shadow correspondences, a method to reduce the search space when finding shadow correspondences, and a method to geometrically calibrate a camera using shadow constraints. Our method constructs a dense network of nonlocal constraints which complements recent work on outdoor photometric stereo and cloud based cues for 3D. We demonstrate results across a variety of time-lapse sequences from web cams "in the wild".
Keywords :
convex programming; image representation; lighting; stereo image processing; cloud based cues; convex optimization; episolar constraint; monocular shape; outdoor photometric stereo; powerful geometric cue; search space; shadow constraints; shadow correspondence; solar illumination; sparse representation; time-lapse sequences; Calibration; Cameras; Equations; Geometry; Lighting; Optimization; Three-dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
Conference_Location :
Portland, OR
ISSN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2013.185
Filename :
6619029
Link To Document :
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