西安理工大学学报2017，Vol.33Issue(1)：18-23,6.DOI:10.19322/j.cnki.issn.1006-4710.2017.01.004
一种新的基于单视图的多姿态人脸识别方法
A novel method for recognition of pose invariant face with single image
摘要
Abstract
The pose variation and single view is a bottleneck problem for recognition of two-dimensional face.A novel method for recognition of pose-invariant face with single image based on the pose correction is proposed in this paper.Firstly,facial feature points are located based on the view-based AAM (Active Appearance Model) and face images are aligned and normalized.Secondly,mapping from the non-frontal image to the frontal image is constructed based on the algorithm for linear regression and frontal faces are obtained from non-frontal faces with different poses.Finally,the SVM (Support Vector Machine) is used to classify the facial features and the parameters of SVM is determined by the genetic algorithm.Experimental results based on the CAS-PEAL-R1 face database show that performance of the proposed approach is better than those by other approaches for pose-invariant face recognition.The recognition rates for face images with pose of 15 °,30 ° and 45 °can reach 98％,84％ and 76％ respectively.关键词
多姿态人脸识别/线性回归/支持向量机/多视角主动表观模型Key words
pose-invariant face recognition/linear regression/support vector machine/view-based active appearance model分类
信息技术与安全科学引用本文复制引用
赵明华,莫瑞阳,石争浩,张飞飞..一种新的基于单视图的多姿态人脸识别方法[J].西安理工大学学报,2017,33(1):18-23,6.基金项目
国家自然科学基金资助项目(61401355,61502382) （61401355,61502382）
陕西省教育厅重点实验室资助项目(14JS072) （14JS072）
西安市碑林区科技计划资助项目(GX1621) （GX1621）
