| 引用本文: | 王刚,刘伟,冯贵玉.基于ICA的多姿态人脸表示.[J].国防科技大学学报,2003,25(3):84-87.[点击复制] |
| WANG Gang,LIU Wei,FENG Guiyu.Pose-varied Face Representation Using the IndependentComponent Analysis[J].Journal of National University of Defense Technology,2003,25(3):84-87[点击复制] |
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| 基于ICA的多姿态人脸表示 |
| 王刚, 刘伟, 冯贵玉 |
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(国防科技大学 机电工程与自动化学院，湖南 长沙 410073)
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| 摘要: |
| 将独立成分分析(ICA)应用于多姿态人脸识别。对比分析了ICA和主成分分析(PCA)两种人脸识别方法的差异，并重点研究了多姿态人脸的独立成分(IC)表示。在基于权向量幅值的方法基础上，引入了基于比例因子的IC核选择的新方法。实验表明，新方法有利于提高识别的准确率和识别的效率。 |
| 关键词: 独立成分分析 多姿态 人脸表示 比例因子 |
| DOI： |
| 投稿日期：2002-11-25 |
| 基金项目:国家863高技术基金资助项目(2001AA114180)；国家杰出青年科学基金资助项目(60225015)；高等学校优秀青年教师教学科研奖励计划资助项目 |
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| Pose-varied Face Representation Using the IndependentComponent Analysis |
| WANG Gang, LIU Wei, FENG Guiyu |
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(College of Mechatronics Engineering and Automation, National Univ. of Defense Technology,Changsha 410073,China)
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| Abstract: |
| Independence component analysis (ICA) is applied in Pose-varied face recognition. Discriminations between ICA and principal component analysis (PCA) in face recognition are analyzed, and independent component (IC) representation in pose-varied face is discussed in detail. Based on the method that selects a subset as the kernel for the representation by ordering the sources via the magnitude of the corresponding weights, a novel IC representation of pose-varied face based on the scale factor is proposed. Demonstration indicates that the proposed method is efficient. |
| Keywords: ICA pose-varied face representation scale factor |
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