Local feature based 3D face recognition

被引：0

作者：

Lee, Y ^{[1
]}

Song, H ^{[1
]}

Yang, U ^{[1
]}

Shin, H ^{[1
]}

Sohn, K ^{[1
]}

机构：

[1] Yonsei Univ, Dept Elect & Elect Engn, Biometr Engn Res Ctr, Seoul 120749, South Korea

来源：

AUDIO AND VIDEO BASED BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS | 2005年 / 3546卷

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 presents a 3D face recognition system based on geometrically localized facial features. We propose the feature extraction procedure using the geometrical characteristics of a face. We extract three curvatures, eight invariant facial feature points and their relative features. These features are directly applied to face recognition algorithms which are a depth-based DP (Dynamic Programming) and a feature-based SVM (Support Vector Machine). Experimental results show that face recognition rates based on the depth-based DP and the feature-based SVM are 95% for 20 people and 96% for 100 people, respectively.

引用

页码：909 / 918

页数：10

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