3D Face Recognition Based on Fast Feature Detection and Non-rigid Iterative Closest Point

摘要：

This paper presents a 3D face recognition algorithm using fast landmark detection and non-rigid iterative Closest Point (ICP) algorithm. The proposed approach can estimate the facial feature region using the anthropometric face model after pose correction, and accurately detect 9 facial landmarks (nose tip, sellion, inner and outer eye corners, nostrils and mouth center). An extension of ICP algorithm has also been proposed to matching the non-rigid 3D face shapes. Experimental results demonstrate that compared to the existing methods, the proposed approach can efficiently detect human facial landmarks and satisfactorily deal with the 3D face matching problem.

关键词： SD face recognition anthropometric face model landmark detection ICP non-rigid

作者: Can TONG Sei-ichiro KAMATA Alireza AHRARY

作者单位: Graduate School of IPS Waseda University Kitakyushu,Japan IPSRC Waseda University Kitakyushu,Japan

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 3038-3041

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）