NDLI: Interreflection removal for photometric stereo by using spectrum-dependent albedo

Content Provider	IEEE Xplore Digital Library
Author	Miao Liao Xinyu Huang Ruigang Yang
Copyright Year	2011
Description	Author affiliation: Department of Mathematics and Computer Science, North Carolina Central University (Xinyu Huang) \|\| Department of Computer Science, University of Kentucky (Miao Liao; Ruigang Yang)
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 $ρ^{m}.$ 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.
Starting Page	689
Ending Page	696
File Size	2360085
Page Count	8
File Format	PDF
ISBN	9781457703942
ISSN	10636919
e-ISBN	9781457703959
DOI	10.1109/CVPR.2011.5995343
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lighting Image color analysis Equations Mathematical model Shape Light sources Surface reconstruction
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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