Illumination Normalization using 2D Wavelet

作     者：Mehran Emadi Marzuki Khalid Rubiyah Yusof Farhad Navabifar 

作者机构：Center for Artificial Intelligence and Robotics University Technology Malaysia International Campus Kuala Lumpur 54100 Malysia emadi.mehran49@*** Tel.: +*** Department of Computer Engineering Mobarakeh Beranch-Islamic Azad University Mobarakeh Esfahan Iran emadi.mehran49@*** Tel.: +*** 

出 版 物：《Procedia Engineering》 

年 卷 期：2012年第41卷

页      面：854-859页

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 

主　　题：Face verification Illumination variation 2D wavelet 

摘      要：Pose, expression and illumination variation are some challenges in face verification research area. When lighting condition changes, the appearance of a face varies intensely. In this paper, an illumination normalization method for face verification under various lighting conditions is presented. In the proposed approach, 2D wavelet is applied on the Yale database B and XM2VTS human face databases for illumination normalization in face verification. The performance of the method under illumination variations is improved compared to other pervious methods. Moreover, this procedure is very effective to compensate the shadows and also is very simple and it implements easily in real-time face verification system.