用于大库人脸识别的脸型分类研究

提出了一种基于”分集”的人脸识别方法，该方法在人脸识别前加入脸型预分类环节，将一个大规模的人脸数据库分解为依脸型分类的若干个子库。这样做一方面可通过分集降低后续识别处理的数据量，提高人脸识别的速度，另一方面可利用脸型特征对候选人脸集合进行粗筛选，降低系统的错误接受率。为了实现脸型分类，进一步提出了一种基于人体测量学的分类方法，即首先借助AAM技术提取脸部特征点，然后在此基础上计算面型指数，并由此实现对脸型的分类。对较大规模的人脸数据库所进行的实验结果表明，所提出的方法可有效提高人脸识别系统的识别率和识别速度。

Face Shape Classification for Face Recognition in Large Database

A pre-classification based face recognition method is presented in this paper. According to the face shape,large-scale database is divided into several smaller sub-databases. It will decrease the amount of data in subsequent face recognition so as to speed up the recognition. On the other hand,it will get rid of the potential non-candidates by using the features of face shape so as to decrease the false acceptance rate. An anthropometry based method is proposed in face shape classification. First AAM techni...