CASIA OpenIR  > 09年以前成果
A new extension of kernel feature and its application for visual recognition
Liu, Qingshan1,2; Jin, Hongliang1,2; Tang, Xiaoou2; Lu, Hanqing1; Ma, Songde1
Source PublicationNEUROCOMPUTING
2008-06-01
Volume71Issue:10-12Pages:1850-1856
SubtypeArticle
AbstractIn 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.
KeywordKernel Feature Discriminant Analysis Visual Recognition
WOS HeadingsScience & Technology ; Technology
WOS KeywordFACE-RECOGNITION
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000257413300009
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9611
Collection09年以前成果
Affiliation1.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
Recommended Citation
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.
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