3D face recognition method based on multi-scale Gabor features

被引：0
作者：
机构：
[1] School of Automation, Southeast University
[2] School of Mechanical and Electronic Engineering, Nanjing Forestry University
来源：
Da, F. (dafp@seu.edu.cn) | 2013年 / Southeast University卷 / 43期
关键词：
3D face recognition; Geometry image; Multi-scale Gabor features;
D O I：
10.3969/j.issn.1001-0505.2013.06.015
中图分类号：
学科分类号：
摘要：
A 3D face recognition method based on multi-scale Gabor features is proposed. First, the preprocessed 3D face model is mapped into a planar parameterized mesh. A 2D geometry image of the spatial 3D mesh is obtained by means of linear interpolation. Then the geometry image is decomposed into Gabor responses of different scales, frequencies and orientations, among which the vertical Gabor responses of low frequencies are extracted as the facial Gabor features. Finally, similarities of multi-scale Gabor features are computed and fused as an overall similarity score. Extensive experiments are conducted on the FRGC v2.0 database, and the results verify that the facial Gabor features extracted by the proposed method can effectively represent the identity.
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页码：1212 / 1216
页数：4
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