Two dimensional principal components of natural images and its application

doi:10.1016/j.neucom.2011.03.047

OPT OpenIR > 光谱成像技术研究室

	Two dimensional principal components of natural images and its application
	Wang, Dong 1; Lu, Huchuan 1; Li, Xuelong 1,2
作者部门	光学影像分析与学习中心
	2011-10-01
发表期刊	NEUROCOMPUTING
ISSN	0925-2312
卷号	74 期号:17 页码:2745-2753
产权排序	2
摘要	In this paper, two dimensional principal components of natural images (2D-PCs) are proposed. Similar to principal components of natural images (1D-PCs), 2D-PCs can also be viewed as fundamental components of human's receptive field because they contain edge-like, bar-like and grating-like patterns. However, compared to 1D-PCs, 2D-PCs are of surprising symmetry, stable regularity, good interpretability, and have little computational complexity in real applications. Then, based on 1D-PCs and 2D-PCs, we design two kinds of statistical texture features (STF(1D) and STF(2D)), and apply them to multi-class facial expression recognition. Numerous experimental results demonstrate that our statistical texture features are better or not worse than other popular features for facial expression recognition. (C) 2011 Elsevier B.V. All rights reserved.
文章类型	Article
关键词	Pca 2dpca Principal Components Two Dimensional Principal Components Natural Images
学科领域	Computer Science
WOS标题词	Science & Technology ; Technology
DOI	10.1016/j.neucom.2011.03.047
URL	查看原文
收录类别	SCI ; EI
关键词[WOS]	LOCAL BINARY PATTERNS ; TEXTURE CLASSIFICATION ; FACE RECOGNITION ; REPRESENTATION ; FEATURES ; STATISTICS
语种	英语
WOS研究方向	Computer Science
项目资助者	Fundamental Research Funds for The Central Universities;National Natural Science Foundation of China (NSFC)
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000296212400005
引用统计	被引频次：16[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.opt.ac.cn/handle/181661/19878
专题	光谱成像技术研究室
通讯作者	Lu, Huchuan
作者单位	1.Dalian Univ Technol, Sch Informat & Commun Engn, Dalian, Peoples R China 2.CAS, Xian Inst Opt & Precis Mech, Xian, Peoples R China
推荐引用方式 GB/T 7714	Wang, Dong,Lu, Huchuan,Li, Xuelong. Two dimensional principal components of natural images and its application[J]. NEUROCOMPUTING,2011,74(17):2745-2753.
APA	Wang, Dong,Lu, Huchuan,&Li, Xuelong.(2011).Two dimensional principal components of natural images and its application.NEUROCOMPUTING,74(17),2745-2753.
MLA	Wang, Dong,et al."Two dimensional principal components of natural images and its application".NEUROCOMPUTING 74.17(2011):2745-2753.

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