智能系统学报Issue(1)：12-19,8.DOI:10.3969/j.issn.1673-4785.201312064
一种基于特征匹配的人脸配准判断方法
An assessment method for face alignment based on feature matching
摘要
Abstract
The lacking of confirmation for face alignment leads to an incorrect feature match .The decline of recogni-tion rate in current application of face recognition is called "mis-alignment crash".Therefore , it is necessary to test and filter the normalized face images to make sure only the aligned face images can go through the recognition pro -cedure .In the method , a bunch of right-alignment normalized face images were used to form a mean face which was defined as the standard face .The key points location theory of SIFT was used to get the key points of standard face and the features of neighboring images were extracted on the basis of blocked statistical histogram in gradient orien -tation .The location of key points of a standard face was taken as the positioning point of a face to be detected .Using the same method to extract the features of neighboring images showed that the similarities of the test images to the standard face were calculated according to their corresponding feature descriptors of the key points .A reasonable threshold was chosen to estimate and classify the images according to their similarities to standard face .The experi-ment proved that this method is effective in eliminating mis-aligned face image effectively and is beneficial for in-creasing the reliability of a face recognition system .关键词
人脸识别/图像规格化/配准判断/图像特征/SIFT描述子/梯度方向直方图/关键点定位/图像匹配Key words
face recognition/image normalization/alignment assessment/image feature/SIFT descriptor/gradient orientation histogram/key point location/image matching分类
信息技术与安全科学引用本文复制引用
阮晓虎,李卫军,覃鸿,董肖莉,张丽萍..一种基于特征匹配的人脸配准判断方法[J].智能系统学报,2015,(1):12-19,8.基金项目
国家自然科学基金资助项目（90920013）． （）
