DocumentCode
3331234
Title
A New Perspective on Uncalibrated Photometric Stereo
Author
Papadhimitri, Thoma ; Favaro, Paolo
Author_Institution
Univ. of Bern, Bern, Switzerland
fYear
2013
fDate
23-28 June 2013
Firstpage
1474
Lastpage
1481
Abstract
We investigate the problem of reconstructing normals, albedo and lights of Lambertian surfaces in uncalibrated photometric stereo under the perspective projection model. Our analysis is based on establishing the integrability constraint. In the orthographic projection case, it is well-known that when such constraint is imposed, a solution can be identified only up to 3 parameters, the so-called generalized bas-relief (GBR) ambiguity. We show that in the perspective projection case the solution is unique. We also propose a closed-form solution which is simple, efficient and robust. We test our algorithm on synthetic data and publicly available real data. Our quantitative tests show that our method outperforms all prior work of uncalibrated photometric stereo under orthographic projection.
Keywords
photometry; stereo image processing; Lambertian surface albedo; Lambertian surfaces lights; closed-form solution; generalized bas-relief ambiguity; integrability constraint; orthographic projection; perspective projection model; synthetic data; uncalibrated photometric stereo; Cameras; Computational modeling; Equations; Image reconstruction; Lighting; Mathematical model; Stereo vision; GBR ambiguity; Uncalibrated photometric stereo; perspective projection;
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.2013.194
Filename
6619038
Link To Document