Bilinear models for 3-D face and facial expression recognition

被引：127

作者：

Mpiperis, Iordanis ^{[1
,2
]}

Malassiotis, Sotiris ^{[3
]}

Strintzis, Michael G. ^{[1
,2
]}

机构：

[1] Informat & Telemat Inst, Ctr Res & Technol Hellas, Thessaloniki 57001, Greece

[2] Aristotle Univ Thessaloniki, Dept Elect & Comp Engn, Informat Proc Lab, Thermi 54124, Greece

[3] Informat & Telemat Inst, Ctr Res & Technol Hellas, Thermi 57001, Greece

来源：

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY | 2008年 / 3卷 / 03期

关键词：

bilinear model; elastically deformable model; 3-D face recognition; 3-D facial expression recognition;

D O I：

10.1109/TIFS.2008.924598

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, we explore bilinear models for jointly addressing 3-D face and facial expression recognition. An elastically deformable model algorithm that establishes correspondence among a set of faces is proposed first and then bilinear models that decouple the identity and facial expression factors are constructed. Fitting these models to unknown faces enables us to perform face recognition invariant to facial expressions and facial expression recognition with unknown identity. A quantitative evaluation of the proposed technique is conducted on the publicly available BU-3DFE face database in comparison with our previous work on face recognition and other state-of-the-art algorithms for facial expression recognition. Experimental results demonstrate an overall 90.5% facial expression recognition rate and an 86% rank-1 face recognition rate.

引用

页码：498 / 511

页数：14

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