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浙江大学学报(工学版)
J4  2010, Vol. 44 Issue (1): 136-140    DOI: 10.3785/j.issn.1008-973X.2010.01.024
电子、通信与自动控制技术     
大型人脸库上基于局部二元模式直方图映射的快速识别
付晓峰,韦巍
（浙江大学 电气工程学院,浙江 杭州 310027）
Local binary pattern histogram projection based fast recognition on large-scale face database
FU Xiao-feng, WEI Wei
(College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)
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摘要：

传统的基于局部二元模式（LBP）的人脸识别方法采用卡方统计度量LBP直方图间的差异,由于卡方统计度量的复杂性以及是在高维空间进行判别,此方法在大型人脸库上的识别速度低,为此提出一种LBP直方图映射（LBPHP）方法.将LBP直方图映射到保局投影（LPP）空间获取低维LBPHP特征,当判别新样本时只须比较新样本与训练样本的LBPHP特征,识别过程简单且在低维空间进行,识别速度很快.鉴于LPP强大的鉴别特性,此方法的识别率很高.在2个知名人脸库上对LBPHP方法进行实验验证,结果表明,相比于传统识别方法,LBPHP的识别速度快,尤其在大型人脸库上优势更加明显,适于在此类人脸库上的实际应用如身份认证等.
Abstract:

The conventional local binary pattern (LBP) based facial recognition method selects Chi square statistic as the dissimilarity measure for LBP histogram. In view of Chi square statistic's complexity and the high-dimensional recognition process, the conventional method is very slow as recognizing on large-scale face database. A method of LBP histogram projection (LBPHP) was proposed, which projects LBP histogram onto locality preserving projection (LPP) space and obtains low-dimensional LBPHP feature. Recognizing new sample only needs to compare its LBPHP feature with those of training samples. The process is simple and carried on low-dimensional space, thus the proposed method is fast and has good accuracy in the light of powerful discriminative property of LPP. Comparative experiments on two large-scale face databases demonstrated that the LBPHP method is superior to the conventional method on recognition speed. The LBPHP method is prominent especially on large-scale face database and suitable for practical application, e.g. identity authentication．
出版日期: 2010-02-26
:  TP 391  
基金资助:

国家“863”高技术研究发展计划重点资助项目（2006AA040202）；浙江省“新世纪151人才工程”资助项目.
通讯作者: 韦巍，男，教授，博导.     E-mail: wwei@cee.zju.edu.cn
作者简介: 付晓峰（1981-），女，内蒙古阿左旗人，博士生，主要从事模式识别和图像处理研究.
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引用本文:

付晓峰,韦巍. 大型人脸库上基于局部二元模式直方图映射的快速识别[J]. J4, 2010, 44(1): 136-140.

FU Xiao-feng, WEI Wei. Local binary pattern histogram projection based fast recognition on large-scale face database. J4, 2010, 44(1): 136-140.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2010.01.024    或    http://www.zjujournals.com/eng/CN/Y2010/V44/I1/136

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