计算机应用研究2011，Vol.28Issue(4)：1540-1543,4.DOI:10.3969/j.issn.1001-3695.2011.04.095
基于形变模型的红外人脸鲁棒识别
Robust infrared face recognition based on deformable model
摘要
Abstract
There are three main barriers toward face recognition: the variation of illumination, expression change and occlusion. This paper put forward a method of thermal infrared face image recognition to tackle illumination change, and proposed an algorithm of integration local deformable model to overcome the problem of expression change and occlusion. This method casted the thermal infrared test face image as a linear combination of face database and used deformable model representation;match optimization deformable model for solving combinatorial coefficient, according to the sparse nature of coefficients for classification. To further improve the robustness of the algorithm, used partition-based scheme. Conducting extensive experiments on Equinox databases show that the performance of face recognition based on infrared light is significantly higher than visible light face recognition for the variation of illumination; integrating local deformable model based face recognition can effectively improve the recognition rate, and can overcome the problems of glasses occlusion and expression change.关键词
人脸识别/热红外成像/形变模型/稀疏表征Key words
face recognition/ thermal infrared imaging/ deformable model/ sparse representation分类
信息技术与安全科学引用本文复制引用
郝宁波..基于形变模型的红外人脸鲁棒识别[J].计算机应用研究,2011,28(4):1540-1543,4.基金项目
河南省科技攻关项目(092102210398) （092102210398）
郑州市重大科技攻关项目(072SGZS38042) （072SGZS38042）
