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Locally linear regression for pose-invariant face recognition
文献类型：期刊论文
| 作者 | Chai, Xiujuan; Shan, Shiguang; Chen, Xilin; Gao, Wen |
| 刊名 | IEEE TRANSACTIONS ON IMAGE PROCESSING
 |
| 出版日期 | 2007-07-01 |
| 卷号 | 16期号:7页码:1716-1725 |
| 关键词 | dense sampling face recognition locally linear regression (LLR) local patch virtual frontal view |
| ISSN号 | 1057-7149 |
| DOI | 10.1109/TIP.2007.899195 |
| 英文摘要 | The variation of facial appearance due to the view-point (/pose) degrades face recognition systems considerably, which is one of the bottlenecks in face recognition. One of the possible solutions is generating virtual frontal view from any given nonfrontal view to obtain a virtual gallery/probe face. Following this idea, this paper proposes a simple, but efficient, novel locally linear regression (LLR) method, which generates the virtual frontal view from a given nonfrontal face image. We first justify the basic assumption of the paper that there exists an approximate linear mapping between a nonfrontal face image and its frontal counterpart. Then, by formulating the estimation of the linear mapping as a prediction problem, we present the regression-based solution, i.e., globally linear regression. To improve the prediction accuracy in the case of coarse alignment, LLR is further proposed. In LLR, we first perform dense sampling in the nonfrontal face image to obtain many overlapped local patches. Then, the linear regression technique is applied to each small patch for the prediction of its virtual frontal patch. Through the combination of all these patches, the virtual frontal view is generated. The experimental results on the CMU PIE database show distinct advantage of the proposed method over Eigen light-field method. |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000247489200002 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/11004]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Chai, Xiujuan |
| 作者单位 | 1.Peking Univ, Beijing 100871, Peoples R China 2.Harbin Inst Technol, Harbin 150001, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China 4.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chai, Xiujuan,Shan, Shiguang,Chen, Xilin,et al. Locally linear regression for pose-invariant face recognition[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2007,16(7):1716-1725. |
| APA | Chai, Xiujuan,Shan, Shiguang,Chen, Xilin,&Gao, Wen.(2007).Locally linear regression for pose-invariant face recognition.IEEE TRANSACTIONS ON IMAGE PROCESSING,16(7),1716-1725. |
| MLA | Chai, Xiujuan,et al."Locally linear regression for pose-invariant face recognition".IEEE TRANSACTIONS ON IMAGE PROCESSING 16.7(2007):1716-1725. |
入库方式： OAI收割
来源：计算技术研究所
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