Research on 3D Face Recognition Methods

doi:10.7517/j.issn.1674-0475.2017.02.131

Abstract

Abstract:

The 3D image-based face recognition technology has made great progress in recent years, with good performance achieved under some constrained conditions. However, the technology is still limited by some factors such as facial pose and expression. To solve this kind of impact, the recognition methods must be improved. This paper shares the development status of 3D image face recognition by discussing a series of face matching methods and fuse-improve methods. And separately through three angles:spatial matching methods, local feature based methods and global feature based methods, to state some improvement of 3D face recognition methods. Besides, some experimental results of improved methods are listed and the reasons about effectiveness of the methods are analyzed. Finally, the paper summarizes some challenges which hinder the improvement of 3D face recognition methods, and explore the future research trend.

Key words: 3D face recognition, feature matching, recognition method

HU Min, WEN Yongfu. Research on 3D Face Recognition Methods[J]. Imaging Science and Photochemistry, 2017, 35(2): 131-139.

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