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基于NMF图像重构的人脸识别 被引量：5

NMF-based Image Reconstruction for Face Recognition
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摘要 由传统的人脸识别方法产生的人脸特征子空间通常是由人脸库中所有训练样本产生的一个通用子空间,该空间更多地包含了所有人脸样本的共性特征,而忽略了个性特征。该文提出一种基于NMF图像重构的方法,以单个人的训练样本集获取其人脸特征子空间,将识别图像向每一个特征子空间中进行映射及重构,并以重构图像的误差作为判据实现人脸识别。在ORL标准人脸库进行的计算机仿真证实了该方法的有效性。 Traditional face recognition methods obtain universal subspaces by using all trained images. The subspace mainly represents the commonness of human faces with few sights of single person＇s face. This paper presents a novel method named NMF-based image reconstruction for face recognition. It obtains the basis images by using each person＇s pictures respectively and the features which are employed to reconstruct the images by mapping the test images to the basis images. The minimum reconstruction error is adopted to finish the facial recognition. The computer simulation in ORL face database illustrates that the method is effective.
作者 周昌军 张强 魏小鹏
机构地区 大连理工大学机械工程学院 大连大学辽宁省智能信息处理重点实验室
出处 《计算机工程》 CAS CSCD 北大核心 2008年第3期217-219,共3页 Computer Engineering
基金 教育部新世纪优秀人才支持计划基金资助项目(NCET-06-0298) 辽宁省高等学校优秀人才支持计划基金资助项目(RC-05-07,2006R06) 辽宁省教育厅科学研究计划基金资助项目(05L020) 大连市科学技术计划基金资助项目(2005A10GX106) 大连大学智能信息处理重点实验室开放课题基金资助项目(2005-9)
关键词 非负矩阵分解 人脸识别 重构 特征 Non-negative Matrix Factorization（NMF） face recognition reconstruction feature
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献11

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二级参考文献13

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计算机工程
2008年 第3期

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