计算机工程与应用2019，Vol.55Issue(11)：199-203,5.DOI:10.3778/j.issn.1002-8331.1802-0228
基于反射感知模型的人脸识别算法研究
Research on Face Recognition Algorithm Based on Reflective Perception Model
摘要
Abstract
This paper proposes a light compensation algorithm based on reflective perception model. By simulating human visual imaging system, the illumination L is estimated from imaging S , the incident degree R is removed and decom-posed, so as to eliminate the different intensity of light from different directions to bring the impact of uneven lighting, and achieve the purpose of light compensation. By extracting the human face two-dimensional Gabor feature, using uni-form down-sampling, combined with Principal Component Analysis(PCA)and Fisher Linear Discriminan(t FLD)anal-ysis, the two dimensions are reduced and combined with Support Vector Machine(SVM)to realize the classification and recognition of face. The experimental results show that the algorithm proposed in this paper can effectively improve the rec-ognition accuracy under complex lighting conditions.关键词
人脸识别技术/复杂光照条件/反射感知模型Key words
face recognition technology/complex lighting conditions/reflective perception model分类
信息技术与安全科学引用本文复制引用
于蒙,马晓芸,陈刚..基于反射感知模型的人脸识别算法研究[J].计算机工程与应用,2019,55(11):199-203,5.基金项目
国家自然科学基金(No.71672137). （No.71672137）
