Laplacian affine sparse coding with tilt and orientation consistency for image classification

	Laplacian affine sparse coding with tilt and orientation consistency for image classification
	Zhang, Chunjie1 ; Wang, Shuhui 2; Huang, Qingming 1,2; Liang, Chao 3; Liu, Jing4 ; Tian, Qi 5
发表期刊	JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
	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	被引频次：8[WOS] [WOS记录] [WOS相关记录]
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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