Face recognition using Weber local descriptors
文献类型:期刊论文
作者 | Li, Shutao1; Gong, Dayi1; Yuan, Yuan2![]() |
刊名 | neurocomputing
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出版日期 | 2013-12-25 |
卷号 | 122页码:272-283 |
关键词 | Face recognition Facial image analysis Weber local descriptors (WLDs) Information fusion |
英文摘要 | this paper presents a method for face recognition using multi-scale weber local descriptors (wlds) and multi-level information fusion. our method introduces the wld, a novel and robust local descriptor, to describe the facial images and modifies it by a non-linear quantization approach to enhance its discriminative power. moreover, a multi-scale framework for wld extraction with multi-level information fusion approaches is provided for face representation and recognition. the proposed method has four main steps: (1) image partition: under given rules, each facial image is uniformly divided into a set of non-overlapped sub-regions; in this way, for a set of facial images, we therefore have a large pool of this type of sub-regions; (2) feature extraction: in this pool of sub-regions, taking one sub-region as a center, a group of similar ones are chosen for extraction of wld histogram features; (3) features measurement: these wld histograms are then fused into a single vector as the feature of the center sub-region. nearest neighborhood on chi-square is employed for similarity measurement between two sub-regions; and (4) voting: the recognition result of the entire probe (a face in sub-regions) is obtained via a voting function on the recognition result of all its sub-regions. experimental results demonstrate the effectiveness of the proposed method upon three popular datasets. (c) 2013 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] | nonnegative matrix factorization ; independent component analysis ; representation ; robust ; space ; model ; pca |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000325590200030 |
公开日期 | 2015-06-30 |
源URL | [http://ir.opt.ac.cn/handle/181661/23195] ![]() |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
作者单位 | 1.Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Shutao,Gong, Dayi,Yuan, Yuan. Face recognition using Weber local descriptors[J]. neurocomputing,2013,122:272-283. |
APA | Li, Shutao,Gong, Dayi,&Yuan, Yuan.(2013).Face recognition using Weber local descriptors.neurocomputing,122,272-283. |
MLA | Li, Shutao,et al."Face recognition using Weber local descriptors".neurocomputing 122(2013):272-283. |
入库方式: OAI收割
来源:西安光学精密机械研究所
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