Fast and Robust 3D Face Matching Approach

摘要：

We present a novel three-dimensional (3D) face matching approach in this paper. First, 3D facial scans are segmented and four feature points of each face are detected for rough alignment the by Absolute Orientation method. Then a modified Iterative Closest Point (ICP) algorithm is employed for range image registration. A Simulated Annealing (SA) based approach with the Surface Interpenetration Measure (SIM), as similarity measure, is used for final matching. Our experimental results on the Face Recognition Grand Challenge (FRGC) v2 database show that the proposed method could achieve 99% rank one recognition performance at 0.001 False Acceptance Rate (FAR) on all neutral expression with noisy data.

关键词： 3D Face Matching Absolute Orientation Simulated Annealing Surface Interpenetration Measure ICP FRGC

作者: Ye Pan Bo Dai Qicong Peng

作者单位: University of Electronic Science and Technology of China Chengdu,.China

会议类型: 国际会议

会议名称: 2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)

会议地点: 厦门

会议语种:英文

页码: 195-198

在线出版日期: 2010-04-12（万方平台首次上网日期，不代表论文的发表时间）