| 基于ICA的多姿态人脸表示 |
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| 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. |
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| 作者姓名： | 王刚 刘伟 冯贵玉 |
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| 作者单位： | 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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| 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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| 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。
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| 关 键 词： | 独立成分分析 多姿态 人脸表示 比例因子 |
| 文章编号： | 1001-2486(2003)03-0084-04 |
| 收稿时间： | 2002/11/25 0:00:00 |
| 修稿时间： | 2002年11月25 |
Pose-varied Face Representation Using the Independent Component Analysis |
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| WANG Gang,LIU Wei and FENG Guiyu.Pose-varied Face Representation Using the Independent Component Analysis[J].Journal of National University of Defense Technology,2003,25(3):84-87. |
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| Authors: | WANG Gang LIU Wei and FENG Guiyu |
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| Institution: | College of Mechatronics Engineering and Automation, National Univ. of Defense Technology,Changsha 410073,China;College of Mechatronics Engineering and Automation, National Univ. of Defense Technology,Changsha 410073,China;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. |
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| Keywords: | ICA pose-varied face representation scale factor |
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