Learned local gabor patterns for face representation and recognition
文献类型：期刊论文
| 作者 | Xie, Shufu1,2; Shan, Shiguang1; Chen, Xilin1; Meng, Xin3; Gao, Wen1,4 |
| 刊名 | Signal processing
 |
| 出版日期 | 2009-12-01 |
| 卷号 | 89期号:12页码:2333-2344 |
| 关键词 | Gabor wavelet Local patterns Histogram Weighting strategy |
| ISSN号 | 0165-1684 |
| DOI | 10.1016/j.sigpro.2009.02.016 |
| 通讯作者 | Shan, shiguang(sgshan@jdl.ac.cn) |
| 英文摘要 | In this paper, we propose learned local gabor patterns (llgp) for face representation and recognition. the proposed method is based on gabor feature and the concept of texton, and defines the feature cliques which appear frequently in gabor features as the basic patterns. different from local binary patterns (lbp) whose patterns are predefined, the local patterns in our approach are learned from the patch set, which is constructed by sampling patches from gabor filtered face images. thus, the patterns in our approach are face-specific and desirable for face perception tasks. based on these learned patterns, each facial image is converted into multiple pattern maps and the block-based histograms of these patterns are concatenated together to form the representation of the face image. in addition, we propose an effective weighting strategy to enhance the performances, which makes use of the discriminative powers of different facial parts as well as different patterns. the proposed approach is evaluated on two face databases: feret and cas-peal-ri. extensive experimental results and comparisons with existing methods show the effectiveness of the llgp representation method and the weighting strategy. especially, heterogeneous testing results show that the llgp codebook has very impressive generalizability for unseen data. (c) 2009 elsevier b.v. all rights reserved. |
| WOS关键词 | TEXTURE CLASSIFICATION ; OBJECT REPRESENTATION ; REGION COVARIANCE ; 2-DIMENSIONAL PCA ; BINARY PATTERNS ; MODEL ; APPEARANCE ; EIGENFACES ; HISTOGRAM ; CORTEX |
| WOS研究方向 | Engineering |
| WOS类目 | Engineering, Electrical & Electronic |
| 语种 | 英语 |
| WOS记录号 | WOS:000269289400004 |
| 出版者 | ELSEVIER SCIENCE BV |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2403560 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Shan, Shiguang |
| 作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Grad Univ, Beijing 100190, Peoples R China 3.NEC China Co Ltd, Beijing 100084, Peoples R China 4.Peking Univ, Inst Digital Media, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xie, Shufu,Shan, Shiguang,Chen, Xilin,et al. Learned local gabor patterns for face representation and recognition[J]. Signal processing,2009,89(12):2333-2344. |
| APA | Xie, Shufu,Shan, Shiguang,Chen, Xilin,Meng, Xin,&Gao, Wen.(2009).Learned local gabor patterns for face representation and recognition.Signal processing,89(12),2333-2344. |
| MLA | Xie, Shufu,et al."Learned local gabor patterns for face representation and recognition".Signal processing 89.12(2009):2333-2344. |
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来源：中国科学院大学
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