Investigating profile extracted from range data for 3D face recognition

被引：0

作者：

Pan, G ^{[1
]}

Wu, YJ ^{[1
]}

Wu, ZH ^{[1
]}

机构：

[1] Zhejiang Univ, Dept Comp Sci & Engn, Hangzhou 310027, Peoples R China

来源：

2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS | 2003年

关键词：

profile matching; face recognition; range data; Hausdorff distance;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper we investigate the discriminative capability of facial profile extracted from range data for 3D face recognition. A robust symmetry plane detection method is proposed for profile extracting. A global profile matching approach based on k-th Hausdorff metric is presented to align and compare profiles, without detection of fiducial points that is often unreliable. The experiments are carried out on a low-quality database with 180 pieces of range data of 30 individuals acquired by a structured light system. Based on the experimental results, we observe that the profile is quite valuable information in 3D face recognition, and the best EER of 2.22% is achieved.

引用

页码：1396 / 1399

页数：4

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