| 基于流形学习算法的人脸识别研究 |
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| 引用本文： | 高峥,杜川.基于流形学习算法的人脸识别研究[J].河南机电高等专科学校学报,2011,19(4):24-25,70. |
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| 作者姓名： | 高峥 杜川 |
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| 作者单位： | 1. 新乡学院现代教育中心,河南新乡,453003
2. 新乡学院机电工程学院,河南新乡,453003 |
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| 摘 要： | 为了有效地实现对人脸的识别,先用线性判断分析（LDA）方法将原始的人脸数据降维,利用降维后的数据选取点的k近邻,进而提出度量优化的保持邻域嵌入算法（MONPE）。MONPE算法：一方面,通过LDA降低原始数据的维数,使得欧氏度量的应用成为合理。另一方面,通过LDA拉近了类内点的距离,拉大了类间点的距离,使得某个采样的近...
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| 关 键 词： | 流形学习 人脸识别 监督的保持邻域嵌入 度量优化的保持邻域嵌入 |
Based on the Manifold Learning Algorithm of Facerecognition |
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| GAO Zheng,et al.Based on the Manifold Learning Algorithm of Facerecognition[J].Journal of Henan Mechanical and Electrical Engineering College,2011,19(4):24-25,70. |
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| Authors: | GAO Zheng |
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| Affiliation: | GAO Zheng,et al(The Center Of Modern Education Technology,Xinxiang University,Xinxiang 453003,China) |
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| Abstract: | For achieving the recognition of face,firstly,with a linear analysis(LDA) method will be the original face data dimensionality reduction using low-dimensional data selection of nearest neighbors,and then put forward the measure to keep the neighbor embedding algorithm optimization(MONPE).MONPE algorithm: on the one hand,through the LDA to reduce the original data dimension,the Euclidean metric of the application as reasonable.On the other hand,through the LDA close within class point distance,pull big class... |
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| Keywords: | face recognition manifold learning supervised neighborhood preserving embedding metric-optimized neighborhood preserving embedding |
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