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