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| 三维人脸深度图的流形学习-LOGMAP识别方法 | |
| 引用本文： | 詹曙,张芝华,叶长明,蒋建国,S．Ando.三维人脸深度图的流形学习-LOGMAP识别方法[J].电子测量与仪器学报,2012,26(2):138-143. |
| 作者姓名： | 詹曙 张芝华 叶长明 蒋建国 S．Ando |
| 作者单位： | 1. 合肥工业大学计算机与信息学院,合肥,230009 2. 合肥工业大学计算机与信息学院,合肥230009;安全关键工业测控技术教育部工程研究中心,合肥230009 3. 日本东京大学信息科学学院,东京113-8656 |
| 基金项目： | 国家自然科学基金（61174170）;教育部博士点基金（2010111110005）资助项目. |
| 摘 要： | 人脸识别是生物特征识别技术最友好的身份识别方式,而三维人脸识别由于可解决二维人脸识别中存在的光照、姿态等局限,成为人脸识别的研究热点,但其特征维数过高是该领域的瓶颈,而维数约减是解决这一问题的关键.流形学习是一类非线性维数约减算法,LOGMAP是一种基于黎曼法坐标的流形学习算法,该算法可以在保持度量信息不变的情况下,把... |
| 关 键 词： | 三维深度图 人脸识别框架 流形学习 黎曼法坐标 LOGMAP |
3D facial depth map recognition based on manifold learning-LOGMAP algorithm |
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| Zhan Shu , Zhang Zhihua , Ye Changming , Jiang Jianguo , S.Ando.3D facial depth map recognition based on manifold learning-LOGMAP algorithm[J].Journal of Electronic Measurement and Instrument,2012,26(2):138-143. | |
| Authors: | Zhan Shu Zhang Zhihua Ye Changming Jiang Jianguo SAndo |
| Affiliation: | Zhan Shu,Zhang Zhihua,Ye Changming,Jiang Jianguo,S. Ando(1. School of Computer ＆ Information, Hefei University of Technology, Hefei 230009, China; 2. Engineering Research Center of Safety Critical Industrial Measurement and Control Technology, Ministry of Education, Hefei 230009, China; 3. Department of Information Physics and Computing ,the University of Tokyo, Tokyo 113-8656, Japan) |
| Abstract: | Face recognition is the no-touch authentication technology in biometrics. 3D face recognition becomes more popular because it can solve the problems of the effect from different illumination and pose in 2D face recognition. However, how to decrease the number of feature dimension is a key technology in 3D facial recognition. In this paper, LOGMAP manifold learning algorithm based on normal coordinates recently is proposed to establish the mapping relationship between the observed and the corresponding low-dimensional data. This paper built a 3D face recognition framework based on manifold learning, and applied LOGMAP theory into 3D facial depth image recognition. The experimental results demonstrate that this method can get good effect for recognition. |
| Keywords: | 3D facial depth map face recognition framework manifold learning Riemannian normal coordinates LOGMAP |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |