The Methods of Modeling the Image Sets Based on MEAP and Its Application on Face Recognition

被引：0

作者：

Wang, Qian ^{[1
]}

Lai, Jian-huang ^{[2
]}

Liu, Na ^{[1
]}

Zheng, Wei-Shi ^{[2
]}

机构：

[1] Sun Yat Sen Univ, Sch Math & Computat Sci, Guangzhou, Guangdong, Peoples R China

[2] Sun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou, Guangdong, Peoples R China

来源：

BIOMETRIC RECOGNITION (CCBR 2014) | 2014年 / 8833卷

关键词：

Face recognition; the similarity metric matrix; MEAP; super-exemplar; consistent match;

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 applies a novel clustering method in the image set-based face recognition, called the Muti-Exemplar Affinity Propagation algorithm (MEAP)[11]. The new method is extended from the affinity propagation (AP). It is a muti-exemplar model which constructs a two-level mapping: phi(1). between the feature points and the exemplars, and phi(2). between the exemplars and the super-exemplars. In this paper, we just use the first-level mapping result, i.e the subclasses to take part in the subsequent face recognition. The experiment results in different databases indicate the excellence of our method and the robustness to face occlusion

引用

页码：50 / 60

页数：11

共 50 条

[1] The methods of modeling the image sets based on MEAP and its application on face recognition
Wang, Qian
Lai, Jian-Huang
Liu, N.
Zheng, Wei-Shi
[J]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8833 : 50 - 60
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