A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition

被引：603

作者：

Bowyer, KW ^{[1
]}

Chang, K ^{[1
]}

Flynn, P ^{[1
]}

机构：

[1] Univ Notre Dame, Dept Comp Sci & Engn, Notre Dame, IN 46556 USA

来源：

COMPUTER VISION AND IMAGE UNDERSTANDING | 2006年 / 101卷 / 01期

基金：

美国国家科学基金会;

关键词：

biometrics; face recognition; three-dimensional face recognition; range image; multi-modal;

D O I：

10.1016/j.cviu.2005.05.005

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This survey focuses on recognition performed by matching models of the three-dimensional shape of the face, either alone or in combination with matching corresponding two-dimensional intensity images. Research trends to date are summarized, and challenges confronting the development of more accurate three-dimensional face recognition are identified. These challenges include the need for better sensors, improved recognition algorithms, and more rigorous experimental methodology. (c) 2005 Elsevier Inc. All rights reserved.

引用

页码：1 / 15

页数：15

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