A Novel Approach for Face Recognition based on Weightiness Image Partition
In this paper we propose a novel method to improve the accuracy of face recognition. In the proposed method we partition the facial data into fifteen regions according to three courtyards and five eyes theory in pencil sketch on facial image in Chinese traditional art. Then in each partition we use LDA getting eigenvalues of feature and structure character to represent the facial data. We assign different weightiness to each sub-image according to the result of sub-image variety. Experiments on AR and ORL dataset show that the proposed method is robust and effective to face with expression, lighting and expression variance.
face recognition image partition LDA
Guanghui He Yuanyan Tang Bin Fang Taiping Zhang
Department of Computer Science,Chongqing University,Chongqing 400030,P.R.China
国际会议
北京
英文
1-4
2009-06-11(万方平台首次上网日期,不代表论文的发表时间)