On the assessment of face image quality based on handcrafted features

被引:0
|
作者
Henniger, Olaf [1 ]
Fu, Biying [1 ]
Chen, Cong [2 ]
机构
[1] Fraunhofer Inst Comp Graph Res IGD, Darmstadt, Germany
[2] Tech Univ Darmstadt, Dept Comp Sci, Darmstadt, Germany
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
This paper studies the assessment of the quality of face images, predicting the utility of face images for automated recognition. The utility of frontal face images from a publicly available dataset was assessed by comparing them with each other using commercial off-the-shelf face recognition systems. Multiple face image features delineating face symmetry and characteristics of the capture process were analysed to find features predictive of utility. The selected features were used to build system-specific and generic random forest classifiers.
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页数:5
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