东南大学学报（自然科学版）2012，Vol.42Issue(4)：618-622,5.DOI:10.3969/j.issn.1001-0505.2012.04.008
基于面部曲线特征融合的三维人脸识别
3D face recognition using compositional features from facial curves
摘要
Abstract
A 3D face recognition method combining local and global geometric features which are extracted from the iso-geodesic curves is proposed. First, a set of facial curves with different geodesic distances from the nose tip are extracted to represent a facial surface. Then, for each point in the re-sampled facial curves, local feature which is invariant to pose is calculated from its local neighborhood and the local feature represents the geometric information of the local neighborhood. Next, the shape information of the facial curves is computed which constitute the global feature. Finally, local feature and global feature are compared respectively, and the final result is the weighted sum of them. The method is tested on the FRGC (face recognition grand challenge) v2. 0 data set, and the experimental results show that recognition performance using compositional features is superior to that using single feature. Furthermore, it is also robust to expression.关键词
三维人脸识别/等测地轮廓线/特征融合/主成分分析Key words
3D face recognition/ iso-geodesic curves/ feature fusion/ principal component analysis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,李晓莉..基于面部曲线特征融合的三维人脸识别[J].东南大学学报（自然科学版）,2012,42(4):618-622,5.基金项目
国家自然科学基金资助项目(51175081,61107001)、江苏省自然科学基金资助项目(BK2010058). （51175081,61107001）
