DocumentCode
3331310
Title
Calibrating Photometric Stereo by Holistic Reflectance Symmetry Analysis
Author
Zhe Wu ; Ping Tan
Author_Institution
Nat. Univ. of Singapore, Singapore, Singapore
fYear
2013
fDate
23-28 June 2013
Firstpage
1498
Lastpage
1505
Abstract
Under unknown directional lighting, the uncalibrated Lambertian photometric stereo algorithm recovers the shape of a smooth surface up to the generalized bas-relief (GBR) ambiguity. We resolve this ambiguity from the half vector symmetry, which is observed in many isotropic materials. Under this symmetry, a 2D BRDF slice with low-rank structure can be obtained from an image, if the surface normals and light directions are correctly recovered. In general, this structure is destroyed by the GBR ambiguity. As a result, we can resolve the ambiguity by restoring this structure. We develop a simple algorithm of auto-calibration from separable homogeneous specular reflection of real images. Compared with previous methods, this method takes a holistic approach to exploiting reflectance symmetry and produces superior results.
Keywords
reflectivity; stereo image processing; vectors; GBR ambiguity; generalized bas-relief ambiguity; half vector symmetry; holistic reflectance symmetry analysis; photometric stereo calibration; uncalibrated Lambertian photometric stereo algorithm; unknown directional lighting; Databases; Equations; Image restoration; Lighting; Linear programming; Materials; Vectors;
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.2013.197
Filename
6619041
Link To Document