Fusion of global and local features for face verification

被引：0
|
作者：
Fang, YC [1 ]
Tan, TN [1 ]
Wang, YH [1 ]
机构：
[1] Chinese Acad Sci, NL PR, Inst Automat, Beijing, Peoples R China
来源：
16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL II, PROCEEDINGS | 2002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：
In this paper, a novel personalized feature combination scheme is proposed for face verification. ANFIS (Adaptive Neuro-Fuzz-v Inference System) and SVM (Support Vector Machine) are adopted respectively to form specialized feature representation for each subject by fusing global and local features. Instead of the common way for different subjects, we realize a new representation that adapts to each individual. Such adaptability in feature selection is inspired by face recognition in the HVS (Human Visual System) and results in an improved recognition rate.
引用
收藏
页码：382 / 385
页数：4
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