Adaptive Pixel/Patch-Based Stereo Matching for 2D Face Recognition

被引：0
|
作者：
Liu, Rui [1 ]
Feng, Weiguo [1 ]
Zhu, Ming [2 ]
机构：
[1] Univ Sci & Technol China, Dept Elect Engn & Informat Sci, Hefei 230026, Peoples R China
[2] Univ Sci & Technol China, Dept Automat, Hefei, Peoples R China
来源：
COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PT I | 2013年 / 8047卷
关键词：
face recognition; adaptive; pixel; patch; stereo matching; POSE;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we propose using adaptive pixel/patch-based stereo matching for 2D face recognition. We don't perform 3D reconstruction but define a measure of the similarity of two 2D face images. After rectifying the two images by epipolar geometry, we match them using the similarity for face recognition. The proposed approach has been tested on the CMU PIE and FERET database and demonstrates superior performance compared to existing methods in real-world situations including changes in pose and illumination.
引用
收藏
页码：172 / 179
页数：8
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