Grassmann Discriminant Analysis for Face Recognition based on Image Set

摘要：

Several studies explored the application of Discriminant analysis on Grassmann manifolds to tackle the image sets matching. But these methods suffer from not considering the local structure of the data. In this paper, a new method of face recognition which based on a graph embedding framework and geometric distance perturbation has been proposed. By introducing similarity graphs and maximal linear patch, the geometrical structure between images and image sets can be exploited. Experiments on several face image datasets demonstrate the effective of this method.

关键词： Graph embedding face recognition Image set Discriminant analysis Grassmannian Manifold

作者: An-ping Yang Song-qiao Chen

作者单位: School of Information Science and Engineering, Central South University Changsha, China

会议类型: 国际会议

会议名称: 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics 第4届智能人机系统与控制论国际会议 IHMSC 2012

会议地点: 南昌

会议语种:英文

页码: 318-322

在线出版日期: 2012-08-26（万方平台首次上网日期，不代表论文的发表时间）