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Proceedings Paper

A review of recent advances in 3D face recognition
Author(s): Jing Luo; Shuze Geng; Zhaoxia Xiao; Chunbo Xiu
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Paper Abstract

Face recognition based on machine vision has achieved great advances and been widely used in the various fields. However, there are some challenges on the face recognition, such as facial pose, variations in illumination, and facial expression. So, this paper gives the recent advances in 3D face recognition. 3D face recognition approaches are categorized into four groups: minutiae approach, space transform approach, geometric features approach, model approach. Several typical approaches are compared in detail, including feature extraction, recognition algorithm, and the performance of the algorithm. Finally, this paper summarized the challenge existing in 3D face recognition and the future trend. This paper aims to help the researches majoring on face recognition.

Paper Details

Date Published: 4 March 2015
PDF: 6 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 944303 (4 March 2015); doi: 10.1117/12.2178750
Show Author Affiliations
Jing Luo, Tianjin Polytechnic Univ. (China)
Shuze Geng, Tianjin Polytechnic Univ. (China)
Zhaoxia Xiao, Tianjin Polytechnic Univ. (China)
Chunbo Xiu, Tianjin Polytechnic Univ. (China)

Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)

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