View-independent face recognition with mixture of experts

被引：23

作者：

Ebrahimpour, Reza ^{[1
,2
]}

Kabire, Ehsanollah ^{[3
]}

Esteky, Hossein ^{[1
,4
]}

Yousefi, Mohammad Reza ^{[2
]}

机构：

[1] Inst Studies Theoret Phys & Math, Sch Cognit Sci, Tehran, Iran

[2] Shahid Rajaee Univ, Dept Elect Engn, Tehran, Iran

[3] Tarbiat Modares Univ, Dept Elect Engn, Tehran, Iran

[4] Shahid Beheshti Univ, Sch Med, Res Grp Brain & Cognit Sci, Tehran, Iran

来源：

NEUROCOMPUTING | 2008年 / 71卷 / 4-6期

关键词：

view-independent face recognition; mixture of experts; teacher-directed learning; principal component analysis;

D O I：

10.1016/j.neucom.2007.08.021

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A model for view-independent face recognition, based on Mixture of Experts, ME, is presented. Instead of allowing ME to partition the face space automatically, it is directed to adapt to a particular partitioning corresponding to predetermined views. Experimental results show that this model performs well in recognizing faces of intermediate unseen views. There are neurophysiological evidences that underpin the proposed model, reporting similar mechanisms of pooling the outputs of several view-specific modules to perform view independent face recognition. (c) 2007 Elsevier B.V. All rights reserved.

引用

页码：1103 / 1107

页数：5

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