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基于多尺度Gabor特征的三维人脸识别方法 被引量：3

3D face recognition method based on multi-scale Gabor features
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摘要 提出了一种基于多尺度Gabor特征的三维人脸识别方法.首先将预处理后的三维人脸模型映射至平面上的参数化网格,再利用线性差值得到空间三维网格的二维几何图像.然后利用多尺度Gabor变换将几何图像分解为不同尺度下包含不同频率、不同方向人脸信息的Gabor响应系数,并提取垂直低频Gabor响应作为人脸的Gabor特征.最后计算不同尺度下Gabor特征的相似度并融合为人脸识别的总相似度.在FRGC v2.0数据库中进行的大量实验表明,提出的方法识别效果较好,提取的人脸Gabor特征具有较好的身份表征性. 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.
作者 邹红艳 达飞鹏 王朝阳
机构地区 东南大学自动化学院 南京林业大学机械电子工程学院
出处 《东南大学学报（自然科学版）》 EI CAS CSCD 北大核心 2013年第6期1212-1216,共5页 Journal of Southeast University：Natural Science Edition
基金 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)
关键词 多尺度Gabor特征 三维人脸识别 几何图像 multi-scale Gabor features 3D face recognition geometry image
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献11

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二级参考文献22

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共引文献79

同被引文献31

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引证文献3

二级引证文献7

东南大学学报（自然科学版）
2013年 第6期

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