Paper Info
Title
Shadowcuts: Photometric Stereo With Shadows
Abstract
We present an algorithm for performing Lambertian photometric stereo in the presence of shadows. The algorithm has three novel features. First, a fast graph cuts based method is used to estimate per pixel light source visibility. Second, it allows images to be acquired with multiple illuminants, and there can be fewer images than light sources. This leads to better surface coverage and improves the reconstruction accuracy by enhancing the signal to noise ratio and the condition number of the light source matrix. The ability to use fewer images than light sources means that the imaging effort grows sublinearly with the number of light sources. Finally, the recovered shadow maps are combined with shading information to perform constrained surface normal integration. This reduces the low frequency bias inherent to the normal integration process and ensures that the recovered surface is consistent with the shadowing configurationThe algorithm works with as few as four light sources and four images. We report results for light source visibility detection and high quality surface reconstructions for synthetic and real datasets.
Year
DOI
Venue
2007
10.1109/CVPR.2007.383288
2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-8
Keywords
Field
DocType
low frequency,graph cut,signal to noise ratio,condition number,pixel,layout,photometric stereo,photometry,graph theory,stereo vision,shadow mapping,image reconstruction,surface reconstruction,computer science
Iterative reconstruction,Cut,Computer vision,Object detection,Visibility,Pattern recognition,Computer science,Signal-to-noise ratio,Shadow mapping,Pixel,Artificial intelligence,Photometric stereo
Conference
Volume
Issue
ISSN
2007
1
1063-6919
Citations 
PageRank 
References 
49
1.59
21
Authors
3
Name
Order
Citations
PageRank
Manmohan Chandraker145125.58
Sameer Agarwal210328478.10
David Kriegman37693451.96