DocumentCode :
2483290
Title :
Illumination Estimation of 3D Surface Texture Based on Active Basis
Author :
Dong, Junyu ; Su, Liyuan ; Duan, Yuanxu
Author_Institution :
Dept. of Comput. Sci., Ocean Univ. of China, Qingdao, China
fYear :
2010
fDate :
23-26 Aug. 2010
Firstpage :
870
Lastpage :
873
Abstract :
This paper describes an approach to estimate illumination directions of 3D surface texture based on Active Basis. Instead of applying Gabor wavelet transform to extract texture features, we represent our texture features with a simple Haar feature to improve efficiency. The Active Basis model can be learned from training image patches by the shared pursuit algorithm. The base histogram can then be obtained based on each model. We measure the illumination directions by minimizing the Euclidean distance and the entropy difference of base histograms between the test image and the training sets. Experimental results demonstrate the effectiveness and accuracy of the proposed approach.
Keywords :
Haar transforms; entropy; feature extraction; geometry; image texture; wavelet transforms; 3D surface texture; Euclidean distance; Gabor wavelet transform; Haar feature; active basis model; entropy difference; illumination direction estimation; image patches; shared pursuit algorithm; texture feature extraction; Estimation; Feature extraction; Histograms; Lighting; Surface texture; Three dimensional displays; Training; 3D Surface Texture; Active Basis; Feature extraction; Illumination Estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
ISSN :
1051-4651
Print_ISBN :
978-1-4244-7542-1
Type :
conf
DOI :
10.1109/ICPR.2010.219
Filename :
5596067
Link To Document :
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