DocumentCode
438726
Title
Reflection components decomposition of textured surfaces using linear basis functions
Author
Tan, Robby T. ; Ikeuchi, Katsushi
Author_Institution
Inst. of Ind. Sci., The Univ. of Tokyo, Japan
Volume
1
fYear
2005
fDate
20-25 June 2005
Firstpage
125
Abstract
Most existing methods of reflection components decomposition using a single color image require color segmentation. Few methods that employ local operations are able to avoid the requirement; however, they usually suffer from color discontinuity problems. In this paper, we introduce a decomposition method using a single color image that does not require (global) color segmentation or (local) color discontinuity detection. The method principally utilizes the coefficients of the reflectance basis functions of input image and its specular-free image. Combining those coefficients enables us to find the diffuse coefficients of the specular pixels for every surface color. As a result, the decomposition becomes a well-posed problem and able to be solved in closed-form equations. Our experimental results on real complex textured images show the effectiveness of our proposed method.
Keywords
image colour analysis; image texture; reflection; closed-form equations; linear basis functions; reflectance basis functions; reflection components decomposition; single color image; specular-free image; surface color; textured surfaces; Color; Equations; Filters; Image segmentation; Iterative algorithms; Iterative methods; Layout; Polarization; Reflection; Surface texture;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
ISSN
1063-6919
Print_ISBN
0-7695-2372-2
Type
conf
DOI
10.1109/CVPR.2005.298
Filename
1467258
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