计算机工程与应用2012，Vol.48Issue(36)：201-204,237,5.DOI:10.3778/j.issn.1002-8331.1208-0350
基于分块相位一致性的人脸识别算法
Face recognition based on modular phase congruency
摘要
Abstract
The recognition accuracy of visible images is variant to changes in illumination conditions and facial expressions, and variations in face images are confined to local regions, while the phase congruency technique used in this research employs the local energy model, which is invariant to changes in illumination and contrast conditions in images. A method of face recognition based on modular phase congruency is used in this paper. The face images are convolved with a bank of 2D logarithmic gabor filters, and the images of phase congruency are obtained by using the model of phase congruency; the extracted feature maps are dealt by modular PCA; considering all the sub-images distance information, the nearest distance classification is used to distinguish each image. Experimental results show that the proposed method has better recognition performance.关键词
相位一致性特征/log-gabor滤波/分块/主元分析/人脸识别Key words
phase congruency/ logarithmic gabor/ modular/ Principal Component Analysis (PCA)/ face recognition分类
信息技术与安全科学引用本文复制引用
唐彩虹,江艳霞,王娟..基于分块相位一致性的人脸识别算法[J].计算机工程与应用,2012,48(36):201-204,237,5.基金项目
国家自然科学基金(No.60874002,No.61074016) （No.60874002,No.61074016）
上海理工大学光电学院教师创新基金(No.GDCX-Y1110). （No.GDCX-Y1110）
