|
|||||
|
|
Feature extraction using orthogonal discriminant local tangent space alignment |
|
| Authors: | Ying-Ke Lei Yang-Ming Xu Jun-An Yang Zhi-Guo Ding Jie Gui |
| Affiliation: | 1. State Key Laboratory of Pulsed Power Laser Technology, Electronic Engineering Institute, Hefei, 230027, Anhui, China 2. Intelligent Computing Lab, Institute of Intelligent Machines, Chinese Academy of Sciences, P.O. Box 1130, Hefei, 230031, Anhui, China 3. Department of Automation, University of Science and Technology of China, Hefei, 230027, Anhui, China |
| Abstract: | A novel algorithm called orthogonal discriminant local tangent space alignment (O-DLTSA) is proposed for supervised feature extraction. Derived from local tangent space alignment (LTSA), O-DLTSA not only inherits the advantages of LTSA which uses local tangent space as a representation of the local geometry so as to preserve the local structure, but also makes full use of class information and orthogonal subspace to improve discriminant power. The experimental results of applying O-DLTSA to standard face databases demonstrate the effectiveness of the proposed method. |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ | |