A new extension of kernel feature and its application for visual recognition
文献类型：期刊论文
| 作者 | Liu, Qingshan1,2; Jin, Hongliang1,2; Tang, Xiaoou2; Lu, Hanqing1 ; Ma, Songde1
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| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 2008-06-01 |
| 卷号 | 71期号:10-12页码:1850-1856 |
| 关键词 | kernel feature discriminant analysis visual recognition |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | FACE-RECOGNITION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000257413300009 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9611]  |
| 专题 | 自动化研究所_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 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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