Similarity-Based Matching for Face Authentication

被引：0
|
作者：
Rosenberger, Christophe [1 ]
Brun, Luc [1 ]
机构：
[1] Univ Caen, CNRS, ENSICAEN, GREYC Lab, F-14000 Caen, France
来源：
19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6 | 2008年
关键词：
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：
We propose in this paper a face authentication method based on a similarity measure. The SIFT descriptor is used to define some interest keypoints characterized by an invariant parameter A graph is then built where nodes correspond to these keypoints. We model the authentication problem as a graph matching process. Experimental results on the AR database show an EER equals to 12% with only one image used for the enrollment and with images simulating real conditions.
引用
收藏
页码：2829 / 2832
页数：4
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