The 3D Face Recognition Algorithm Fusing Multi-geometry Features  

作　　者：SUN Yan-Feng TANG Heng-Liang YIN Bao-Cai 

机构地区：[1]Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing Universlty of Technology, Beijing 100124, P. R. China

出　　处：《自动化学报》2008年第12期1483-1489,共7页Acta Automatica Sinica

基　　金：Supported by National Natural Science Foundation of China （60533030） and Beijing Natural Science Foundation （4061001）

摘　　要：因为它的 insensitivity， 3D 脸识别吸引越来越多的注意到照明和姿势的变化。有在这个话题要解决的许多关键问题，例如 3D 脸表示和有效多特征熔化。在这份报纸，一个新奇 3D 脸识别算法被建议，它的性能在 BJUT-3D 脸数据库上被表明。这个算法选择脸表面性质和相对关系矩阵的原则部件为脸表示特征。为每个特征的类似公制被定义。特征熔化策略被建议。它基于菲希尔是线性加权的策略线性判别式分析。最后，介绍算法在 BJUT-3D 脸数据库上被测试。算法和熔化策略的表演是令人满意的，这被结束。The 3D face recognition attracts more and more attention because of its insensitivity to the variance of illumination and pose. There are many crucial problems to be solved in this topic, such as 3D face representation and effective multi-feature fusion. In this paper, a novel 3D face recognition algorithm is proposed and its performance is demonstrated on BJUT-3D face database. This algorithm chooses face surface property and the principle component of relative relation matrix as the face representation features. The similarity metric measure for each feature is defined. A feature fusion strategy is proposed. It is a linear weighted strategy based on Fisher linear discriminant analysis. Finally, the presented algorithm is tested on the BJUT-3D face database. It is concluded that the performance of the algorithm and fusion strategy is satisfying.

关 键 词：三维系统 人脸识别系统 计算方法 几何特征 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]