Title :
Face recognition using illumination invariant features in contourlet domain
Author :
Huang, Yuan-Yuan ; Li, Jian-ping ; Duan, Gui-duo ; Lin, Jie ; Hu, De-kun ; Fu, Bo
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
This paper summarizes the recent development of illumination compensation for face recognition. Then a new method is proposed by extracting illumination invariant features in contourlet transform domain based on human visual perception mechanism. The experimental results on Yale B and CMU PIE face databases demonstrate that it is effective and competitive.
Keywords :
computer vision; face recognition; wavelet transforms; contourlet transform domain; face recognition; human visual perception; illumination compensation; illumination invariant feature; Databases; Face; Face recognition; Feature extraction; Lighting; Wavelet transforms; Contourlet transform; face recognition; illumination invariant; retinex theory;
Conference_Titel :
Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8025-8
DOI :
10.1109/ICACIA.2010.5709904
