机构地区: 中南大学信息科学与工程学院
出 处: 《中南大学学报(自然科学版)》 2011年第3期688-692,共5页
摘 要: 为克服保局投影的局限,在保局投影的基础上,提出正交流形保持投影方法。在保局投影目标函数中引入数据的非近邻信息,有效地保持数据的局部流形结构和全局流形结构;采用格拉姆·施密特正交化过程获取正交投影基向量,解决保局投影非正交问题。采用ORL和Yale人脸数据库中图像进行实验,实验结果验证了该方法的有效性。 In order to overcome the shortcomings of locality preserving projections(LPP),a new feature extraction methods orthogonal manifold preserving projections(OMPP) was proposed.The non-locality information of data is incorporates to the objective function,in contrast to LPP,which preserves the local and global structure of the data manifold.Gram-Schmidt orthogonalization was used to determine basic orthogonal vectors,which solves the non-orthogonal problem of LPP.Experiments on ORL and Yale face databases were performed to test and evaluate the proposed algorithm,and the results show that the proposed method is effective.
关 键 词: 保局投影 流形保持投影 正交流形保持投影 格拉姆 施密特正交变换
领 域: [自动化与计算机技术] [自动化与计算机技术]