INVARIANT DESCRIPTOR FOR MULTI-VIEW 3D FACIAL SURFACE

摘要：

This paper proposed an approach to extraction of invariant surface descriptor for multi-view 3D face models. In this approach, 3D facial data were first normalized to the same location, scale and orientation. The normalized faces were then cropped to highlight the most significant region. Within this region, six 3D invariant moments were finally calculated and defined as a descriptor. The proposed invariant descriptor has been compared to the descriptor presented by Xu et al. on the Face Recognition Grand Challenge (FRGC, version 2.0) database. The results demonstrated that our descriptor has higher invariance and better differentiation ability, and therefore can be applied to identification and authentication of multi-view 3D face models.

关键词： Surface invariant descriptor Multiview 3D face

作者: Guo Zhe Zhang Yanning Xia Yong Lin Zenggang Feng Dagan

作者单位: Shaanxi Key Laboratory of Speech& Image Information Processing (SIIP), School of Computer Science,No Shaanxi Key Laboratory of Speech& Image Information Processing (SIIP), School of Computer Science,No Biomedical and Multimedia Information Technology (BMIT) Research Group, School of Information Techno

会议类型: 国际会议

会议名称: 2009 2nd IEEE International Conference on Broadband Network & Multimedia Technology(2009年宽带网络与多媒体国际会议 IEEE IC-BNMT2009)

会议地点: 北京

会议语种:英文

页码: 509-512

在线出版日期: 2009-10-18（万方平台首次上网日期，不代表论文的发表时间）