Distortion-invariant (Pose and illumination) face recognition using new SVM

被引:1
作者
Casasent, D [1 ]
Yuan, C [1 ]
机构
[1] Carnegie Mellon Univ, Dept ECE, Pittsburgh, PA 15213 USA
来源
INTELLIGENT ROBOTS AND COMPUTER VISION XXII: ALGORITHMS, TECHNIQUES, AND ACTIVE VISION | 2004年 / 5608卷
关键词
face recognition; face verification; pose estimation; support vector machine;
D O I
10.1117/12.580132
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Face recognition with both pose and illumination variations is considered. In addition, we consider the ability of the classifier to reject non-member or imposter face inputs; most prior work has not addressed this. Initially, non-registered test and training set imagery is used (this is realistic) and a two-step pose estimation/face recognition processor is employed which includes registration of the test input to the reference poses. A new SVRDM support vector representation and discrimination machine classifier is proposed and initial face recognition-rejection results are presented. Face recognition and verification results are presented.
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页码:1 / 12
页数:12
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