A Novel SVM Classification Approach in Tensor-Faces Algorithm

摘要：

Multi-view face recognition is still an important and challenging problem to face recognition In this paper, we propose an improved approach basing on Tensorfaces algorithm which focuses on how to improve the feature extraction and the classification methods to make the recognition accurately. SVM is a classifier that has demonstrated higher generalization capabilities in many pattern recognition problems. The SVM Classifier is used in the proposed method instead of Nearest Neighbor Classifier in the Tensorfaces algorithm. The proposed method is evaluated on the Weizmann face image database. Experimental results show the performance of the method is better than the original TensorFaces method.

关键词： SVM facial recognition TensorFaces

作者: Hu Airong Jiang Shan

作者单位: Mechanical and Electronic Engineering China University of Petroleum Beijing,P.R.China Mechanical and Electronic Engineering China University of Petroleum Beijing, P.R.China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 544-547

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）