A new extension of kernel feature and its application for visual recognition

CASIA OpenIR > 09年以前成果

	A new extension of kernel feature and its application for visual recognition
	Liu, Qingshan 1,2; Jin, Hongliang 1,2; Tang, Xiaoou 2; Lu, Hanqing1 ; Ma, Songde1
发表期刊	NEUROCOMPUTING
	2008-06-01
卷号	71 期号:10-12 页码:1850-1856
文章类型	Article
摘要	In this paper, we first conceive a new perception of the kernel feature. The kernel subspace methods can be regarded as two independent steps: an explicit kernel feature extraction step and a linear subspace analysis step on the extracted kernel features. The kernel feature vector of an image is composed of dot products between the image and all the training images using nonlinear dot product kernel. Then, based on this perception, we further extend the kernel feature vector of an image to a kernel feature matrix for visual recognition. This extension takes different representation cues of images into account, respectively, while only global average information is used in the traditional kernel methods. From the view of dot product as similarity, this extension means using multiple similarities to measure two images, which is more accordant to human vision. In order to efficiently deal with the problem of numerical computation, a matrix-based kernel discriminant analysis algorithm is employed to learn discriminating kernel features for visual recognition. Experiments on the FERET face database, the CCIL-100 object database, and the Wang's nature image database show the advantage of the proposed method. (C) 2008 Elsevier B.V. All rights reserved.
关键词	Kernel Feature Discriminant Analysis Visual Recognition
WOS标题词	Science & Technology ; Technology
关键词[WOS]	FACE-RECOGNITION
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:000257413300009
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/173211/9611
专题	09年以前成果
作者单位	1.CAS, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 2.Chinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Hong Kong, Peoples R China
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Liu, Qingshan,Jin, Hongliang,Tang, Xiaoou,et al. A new extension of kernel feature and its application for visual recognition[J]. NEUROCOMPUTING,2008,71(10-12):1850-1856.
APA	Liu, Qingshan,Jin, Hongliang,Tang, Xiaoou,Lu, Hanqing,&Ma, Songde.(2008).A new extension of kernel feature and its application for visual recognition.NEUROCOMPUTING,71(10-12),1850-1856.
MLA	Liu, Qingshan,et al."A new extension of kernel feature and its application for visual recognition".NEUROCOMPUTING 71.10-12(2008):1850-1856.