Use of depth and colour eigenfaces for face recognition

被引：87

作者：

Tsalakanidou, F

Tzovaras, D ^{[1
]}

Strintzis, MG

机构：

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

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

来源：

PATTERN RECOGNITION LETTERS | 2003年 / 24卷 / 9-10期

关键词：

colour; depth; 3D model; principal component analysis; face recognition;

D O I：

10.1016/S0167-8655(02)00383-5

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the present paper a face recognition technique is developed based on depth and colour information. The main objective of the paper is to evaluate three different approaches (colour, depth, combination of colour and depth) for face recognition and quantify the contribution of depth. The proposed face recognition technique is based on the implementation of the principal component analysis algorithm and the extraction of depth and colour eigenfaces. Experimental results show significant gains attained with the addition of depth information. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：1427 / 1435

页数：9

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