Contextual constraints based linear discriminant analysis
Lei, Zhen1; Li, Stan Z.
2011-03-01
发表期刊PATTERN RECOGNITION LETTERS
卷号32期号:4页码:626-632
文章类型Article
摘要Linear feature extraction methods such as LDA have achieved great success in pattern recognition and image processing area. For most existing methods, the image data is usually transformed into a vector representation and the contextual information among pixels is not exploited. However, image data distribute sparsely in high-dimension feature space and the dependence among neighboring pixels is important to represent a natural image. Therefore, in this paper, we propose a novel image contextual constraint based linear discriminant analysis (CCLDA) method by taking into account the pixel dependence of an image in subspace learning process. In this way, a more discriminative subspace could be learned especially in. the case of small sample size. Extensive experiments on ORL, Extended Yale-B, PIE and FRGC databases validate the efficacy of the proposed method. (C) 2010 Elsevier B.V. All rights reserved.
关键词Contextual Constraint Discriminant Analysis Face Recognition
WOS标题词Science & Technology ; Technology
关键词[WOS]FACE RECOGNITION ; ILLUMINATION ; POSE
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000287422900010
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9953
专题模式识别国家重点实验室_生物识别与安全技术研究
作者单位1.Chinese Acad Sci, Ctr Biometr & Secur Res, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Lei, Zhen,Li, Stan Z.. Contextual constraints based linear discriminant analysis[J]. PATTERN RECOGNITION LETTERS,2011,32(4):626-632.
APA Lei, Zhen,&Li, Stan Z..(2011).Contextual constraints based linear discriminant analysis.PATTERN RECOGNITION LETTERS,32(4),626-632.
MLA Lei, Zhen,et al."Contextual constraints based linear discriminant analysis".PATTERN RECOGNITION LETTERS 32.4(2011):626-632.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Lei, Zhen]的文章
[Li, Stan Z.]的文章
百度学术
百度学术中相似的文章
[Lei, Zhen]的文章
[Li, Stan Z.]的文章
必应学术
必应学术中相似的文章
[Lei, Zhen]的文章
[Li, Stan Z.]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。