Standardization of face image sample quality

被引：0
|
作者：
Gao, Xiufeng [1 ]
Li, Stan Z. [2 ]
Liu, Rong [2 ]
Zhang, Peiren [1 ]
机构：
[1] Univ Sci & Technol China, Hefei 230026, Peoples R China
[2] Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Ctr Biometr & Secur Res, Beijing 100080, Peoples R China
来源：
ADVANCES IN BIOMETRICS, PROCEEDINGS | 2007年 / 4642卷
关键词：
biometric sample quality; facial symmetry; local features; methodology; standardization;
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：
Performance of biometric systems is dependent on quality of acquired biometric samples. Poor sample quality is a main reason for matching errors in biometric systems and may be the main weakness of some implementations. In this paper, we present an approach for standardization of facial image quality, and develop facial symmetry based methods for its assessment by which facial asymmetries caused by non-frontal lighting and improper facial pose can be measured. Experimental results are provided to illustrate the concepts, definitions and effectiveness.
引用
收藏
页码：242 / +
页数：3
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