东南大学学报（自然科学版）Issue(6)：1212-1216,5.DOI:10.3969/j.issn.1001-0505.2013.06.015
基于多尺度 Gabor 特征的三维人脸识别方法
3D face recognition method based on multi-scale Gabor features
摘要
Abstract
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 decom-posed into Gabor responses of different scales,frequencies and orientations,among which the verti-cal 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 experi-ments 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.关键词
多尺度 Gabor 特征/三维人脸识别/几何图像Key words
multi-scale Gabor features/3D face recognition/geometry image分类
信息技术与安全科学引用本文复制引用
邹红艳,达飞鹏,王朝阳..基于多尺度 Gabor 特征的三维人脸识别方法[J].东南大学学报（自然科学版）,2013,(6):1212-1216,5.基金项目
国家自然科学基金资助项目（51175081，61107001）、江苏省高校自然科学研究计划资助项目（13KJB510015）． （）
