中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Laplacian affine sparse coding with tilt and orientation consistency for image classification

文献类型:期刊论文

作者Zhang, Chunjie1; Wang, Shuhui2; Huang, Qingming1,2; Liang, Chao3; Liu, Ting4; Tian, Qi5; Liu, Jing
刊名JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
出版日期2013-10-01
卷号24期号:7页码:786-793
关键词Image classification Affine transformation Sparse coding Laplacian matrix Tilt and orientation Smooth constraints Object categorization Bag-of-visual words model
英文摘要Recently, sparse coding has become popular for image classification. However, images are often captured under different conditions such as varied poses, scales and different camera parameters. This means local features may not be discriminative enough to cope with these variations. To solve this problem, affine transformation along with sparse coding is proposed. Although proven effective, the affine sparse coding has no constraints on the tilt and orientations as well as the encoding parameter consistency of the transformed local features. To solve these problems, we propose a Laplacian affine sparse coding algorithm which combines the tilt and orientations of affine local features as well as the dependency among local features. We add tilt and orientation smooth constraints into the objective function of sparse coding. Besides, a Laplacian regularization term is also used to characterize the encoding parameter similarity. Experimental results on several public datasets demonstrate the effectiveness of the proposed method. (C) 2013 Elsevier Inc. All rights reserved.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Information Systems ; Computer Science, Software Engineering
研究领域[WOS]Computer Science
关键词[WOS]OBJECT RECOGNITION ; FEATURES ; CONTEXT ; KERNEL ; MODEL
收录类别SCI
语种英语
WOS记录号WOS:000324848700005
源URL[http://ir.ia.ac.cn/handle/173211/3357]  
专题自动化研究所_模式识别国家重点实验室_图像与视频分析团队
作者单位1.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Key Lab Intell Info Proc, Inst Comp Technol, Beijing 100190, Peoples R China
3.Wuhan Univ, Natl Engn Res Ctr Multimedia Software, Wuhan 430072, Peoples R China
4.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
5.Univ Texas San Antonio, Dept Comp Sci, San Antonio, TX 78249 USA
推荐引用方式
GB/T 7714
Zhang, Chunjie,Wang, Shuhui,Huang, Qingming,et al. Laplacian affine sparse coding with tilt and orientation consistency for image classification[J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,2013,24(7):786-793.
APA Zhang, Chunjie.,Wang, Shuhui.,Huang, Qingming.,Liang, Chao.,Liu, Ting.,...&Liu, Jing.(2013).Laplacian affine sparse coding with tilt and orientation consistency for image classification.JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,24(7),786-793.
MLA Zhang, Chunjie,et al."Laplacian affine sparse coding with tilt and orientation consistency for image classification".JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 24.7(2013):786-793.

入库方式: OAI收割

来源:自动化研究所

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