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Laplacian affine sparse coding with tilt and orientation consistency for image classification | |
Zhang, Chunjie1![]() ![]() | |
发表期刊 | JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
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2013-10-01 | |
卷号 | 24期号:7页码:786-793 |
文章类型 | Article |
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. |
关键词 | Image Classification Affine Transformation Sparse Coding Laplacian Matrix Tilt And Orientation Smooth Constraints Object Categorization Bag-of-visual Words Model |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | OBJECT RECOGNITION ; FEATURES ; CONTEXT ; KERNEL ; MODEL |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Information Systems ; Computer Science, Software Engineering |
WOS记录号 | WOS:000324848700005 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/3357 |
专题 | 紫东太初大模型研究中心_图像与视频分析 |
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, Jing,&Tian, Qi.(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. |
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