DocumentCode :
3331287
Title :
Uncalibrated Photometric Stereo for Unknown Isotropic Reflectances
Author :
Feng Lu ; Matsushita, Yuki ; Sato, Imari ; Okabe, Toshiya ; Sato, Yuuki
Author_Institution :
Univ. of Tokyo, Tokyo, Japan
fYear :
2013
fDate :
23-28 June 2013
Firstpage :
1490
Lastpage :
1497
Abstract :
We propose an uncalibrated photometric stereo method that works with general and unknown isotropic reflectances. Our method uses a pixel intensity profile, which is a sequence of radiance intensities recorded at a pixel across multi-illuminance images. We show that for general isotropic materials, the geodesic distance between intensity profiles is linearly related to the angular difference of their surface normals, and that the intensity distribution of an intensity profile conveys information about the reflectance properties, when the intensity profile is obtained under uniformly distributed directional lightings. Based on these observations, we show that surface normals can be estimated up to a convex/concave ambiguity. A solution method based on matrix decomposition with missing data is developed for a reliable estimation. Quantitative and qualitative evaluations of our method are performed using both synthetic and real-world scenes.
Keywords :
matrix decomposition; stereo image processing; convex-concave ambiguity; geodesic distance; isotropic materials; isotropic reflectances; matrix decomposition; multiilluminance images; pixel intensity profile; radiance intensity sequence; uncalibrated photometric stereo; uniformly distributed directional lightings; unknown isotropic reflectances; Databases; Face; Light sources; Lighting; Materials; Matrix decomposition; Sparse matrices;
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.2013.196
Filename :
6619040
Link To Document :
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