计算机工程与应用Issue(11)：139-144,6.DOI:10.3778/j.issn.1002-8331.1306-0286
基于trace变换特征的单训练样本人脸识别算法
Face recognition algorithm of single training samples based on trace transform
摘要
Abstract
A face recognition algorithm based on invariant feature of trace transform is presented to improve the recogni-tion rate of single training sample in variations of pose and expression. With application of one order Scharr operator and second order scale-adapted Laplacian of Gaussian(LoG)& Harris filter, feature points are detected. Proper functionals are chosen to perform trace transform in the circular region around each feature point so as to achieve feature descriptors which are invariant to rotation and scaling. A coarse-to-fine matching strategy is conducted by applying the descriptor’s feature vectors and coordinates. It guarantees the stability as no problem of parameter selection. The experimental results demonstrate that this method decreases the effect caused by the variations of pose and expression and also reduces the run-ning time.关键词
人脸识别/单训练样本/trace变换/特征提取/特征匹配Key words
face recognition/single training samples/trace transform/feature extraction/feature matching分类
信息技术与安全科学引用本文复制引用
张亮,王磊,董吉文,赵磊..基于trace变换特征的单训练样本人脸识别算法[J].计算机工程与应用,2015,(11):139-144,6.基金项目
山东省自然科学基金（No.ZR2010FL006）；国家自然科学基金（No.61302063）。 （）
