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基于Fisher投影的多光谱人脸融合识别
引用本文:刘典婷,华顺刚,苏铁明,欧宗瑛,张建新.基于Fisher投影的多光谱人脸融合识别[J].计算机工程,2010,36(8):180-182.
作者姓名:刘典婷  华顺刚  苏铁明  欧宗瑛  张建新
作者单位:大连理工大学机械工程学院CAD与网络技术研究所,大连,116024
基金项目:大连理工大学交叉学科基金资助项目(光电子+X2006);;大连理工大学与中国科学院沈阳自动化研究所联合基金资助项目(DUT-SIA2006)
摘    要:根据可见光图像与红外图像的信息互补性,分析在决策层融合识别中的归一化法和融合算法,提出一种基于统计的Fisher投影融合法,利用Fisher线性判别准则在二维分数空间寻找最优投影方向,使不同类样本投影后能最佳分离。在多光谱人脸融合识别中的应用结果表明,与其他融合算法相比,该算法具有更好的识别效果。

关 键 词:红外图像  可见光图像  Fisher线性判别  人脸识别  融合
修稿时间: 

Multi-spectral Face Fusion Recognition Based on Fisher Projection
LIU Dian-ting,HUA Shun-gang,SU Tie-ming,OU Zong-ying,ZHANG Jian-xin.Multi-spectral Face Fusion Recognition Based on Fisher Projection[J].Computer Engineering,2010,36(8):180-182.
Authors:LIU Dian-ting  HUA Shun-gang  SU Tie-ming  OU Zong-ying  ZHANG Jian-xin
Affiliation:(Institute of CAD & Network Technology, School of Mechanical Engineering, Dalian University of Technology, Dalian 116024)
Abstract:According to the information complementarity for visible image and infrared image, this paper analyzes normalization method and fusion algorithm for fusion recognition at decision level, proposes a Fisher projection fusion algorithm based on statistics. This algorithm employs Fisher linear discriminate criterion to find out the optimal projection in score space that can best separate projected samples from different classes. Application of multi-spectral face fusion recognition results show that this algorithm has higher recognition effect compared with other fusion algorithm.
Keywords:infrared image  visible image  Fisher linear discrimination  face recognition  fusion
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