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基于仿射包的图像集人脸识别的鲁棒算法
  • ISSN号：1000-1832
  • 期刊名称：《东北师大学报：自然科学版》
  • 时间：0
  • 分类：TP391.41[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]吉林大学计算机科学与技术学院,吉林长春130012
  • 相关基金：国家自然科学基金资助项目（61175023）; 吉林省生物识别新技术重点实验室资助项目（20082209）
作者： 宁尚军[1], 刘小华[1], 盖健[1]
关键词： 人脸识别, 图像集, 仿射包模型, 旋转不变L1范数, face recognition, image sets, affine hull model , rotational invariant L1 norm
中文摘要：

针对基于仿射包的图像集人脸识别方法（AHISD）对于异常值数据的敏感性,提出了一种鲁棒性更强的方法（R1-AHISD）.以仿射包模型对图像集建模,通过R1-PCA算法获得仿射子空间的正交基,进而计算定义的仿射包之间的距离,以最近邻分类器得到分类结果.在Honda/UCSD数据库上的仿真实验表明,本方法可以有效地提高识别率和对异常值数据的鲁棒性.

英文摘要：

Since affine hull based face recognition from image sets（AHISD） is sensitive to outliers,a robust method is proposed called R1-AHISD. First, model every image set as affine hull, estimate affine subspace with rotational invariant L1 norm principal component analysis （R1-PCA）, distance between hulls is defined and computed, nearest distance classifier is used to obtain the final recognition result. Experiments on Honda/UCSD face datasets show that our proposed method obtain higher recognition rates and robustness to outliers.

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期刊信息
  • 《东北师大学报：自然科学版》
  • 北大核心期刊（2011版）
  • 主管单位:教育部
  • 主办单位:东北师范大学
  • 主编：刘宝
  • 地址：长春市净月大街2555号
  • 邮编：130117
  • 邮箱：dslkxb@nenu.edu.cn
  • 电话：0431-89165992
  • 国际标准刊号：ISSN：1000-1832
  • 国内统一刊号：ISSN：22-1123/N
  • 邮发代号:12-43
  • 获奖情况:
  • 中文综合性科学技术类核心期刊,中国科学引文数据库来源期刊,中国科技论文统计源期刊,中国期刊方阵“双效”期刊
  • 国内外数据库收录:
  • 美国化学文摘（网络版）,美国数学评论（网络版）,德国数学文摘,美国生物科学数据库,英国动物学记录,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:7830