DocumentCode :
2913280
Title :
Interreflection removal for photometric stereo by using spectrum-dependent albedo
Author :
Liao, Miao ; Huang, Xinyu ; Yang, Ruigang
Author_Institution :
Dept. of Comput. Sci., Univ. of Kentucky, Lexington, KY, USA
fYear :
2011
fDate :
20-25 June 2011
Firstpage :
689
Lastpage :
696
Abstract :
We present a novel method that can separate m-bounced light and remove the interreflections in a photometric stereo setup. Under the assumption of a uniformly colored lambertian surface, the intensity of a point in the scene is the sum of 1-bounced light through m-bounced light rays. Ruled by the law of diffuse reflection, whenever a light ray is bounced by the surface, its intensity will be attenuated by the factor of albedo ρ. This implies that the measured intensity value can be written as a polynomial function of ρ, and the intensity contribution of the m-bounced light rays are expressed by the term of ρm. Therefore, when we change the surface albedo, the intensity of the m-bounced light is changed to the order of m. This non-linearity gives us the possibility to separate the m-bounced light. In practice, we illuminate the scene with different light colors to effectively simulate different surface albedos since albedo is spectrum dependent. Once the m-bounced light rays are separated, we can perform the photometric stereo algorithm on the 1-bounced light (direct lighting) images to produce the 3D shape without the impact of interreflections. Experiments have shown that we get significantly improved scene reconstruction with a minimum of two color images.
Keywords :
image colour analysis; polynomials; stereo image processing; colored lambertian surface; diffuse reflection; image color; intensity contribution; interreflection removal; m-bounced light rays; photometric stereo; photometric stereo algorithm; polynomial function; spectrum dependent Albedo; surface albedo; Equations; Image color analysis; Light sources; Lighting; Mathematical model; Shape; Surface reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on
Conference_Location :
Providence, RI
ISSN :
1063-6919
Print_ISBN :
978-1-4577-0394-2
Type :
conf
DOI :
10.1109/CVPR.2011.5995343
Filename :
5995343
Link To Document :
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