基于子模式双向二维线性判别分析的人脸识别OA北大核心CSCDCSTPCD
Face recognition based on sub-pattern two-directional two-dimensional linear discriminant analysis
针对表情和光照变化等对人脸识别影响的问题,提出一种基于子模式双向二维线性判别分析(Sub-pattern two-di-rectional two-dimensional linear discriminant analysis,Sp-(2D)2 LDA)的人脸识别方法。该方法首先对原图像进行分块处理,并保持子块间的空间关系,然后对各个子训练样本集从行方向和列方向同时利用2DLDA 进行特征抽取,最后把各个子特征矩阵拼接成一对应原始图像的特征矩阵…查看全部>>
To reduce the impacts of the variations of expression and illumination,a novel face recogni-tion method based on sub-pattern two-directional two-dimensional linear discriminant analysis (Sp-(2D)2 LDA)is presented in this paper.Firstly,Sp-(2D)2 LDA divides the original images into smaller sub-images and keeps the spatial relationship between the sub-images.Secondly,it simultaneously ap-plies 2DLDA to the subsets of the training samples in the row and column d…查看全部>>
董晓庆;陈洪财
韩山师范学院 物理与电子工程学院,广东 潮州 521041韩山师范学院 物理与电子工程学院,广东 潮州 521041
信息技术与安全科学
人脸识别特征抽取双向二维线性判别分析子模式双向二维线性判别分析
face recognitionfeature extractiontwo-directional two-dimensional linear discriminant
《液晶与显示》 2015 (6)
1016-1023,8
广东省青年创新人才项目(No.2014QNCX194)广东省教改项目(No.GDJG20142402)潮州市科技计划引导项目(No.2014SF03) Supported by Project of Education Department of Guangdong(No.2014EQNCX194)2014 Teaching Re-form Project of Higher Education in Guangdong Province(No.GDJG20142402)Project of Chaozhou Sci-ence and Technology Bureau(No.2014SF03)
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