Locally linear regression for pose-invariant face recognition

doi:10.1109/TIP.2007.899195

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Locally linear regression for pose-invariant face recognition
	Chai, Xiujuan ; Shan, Shiguang ; Chen, Xilin ; Gao, Wen
刊名	IEEE TRANSACTIONS ON IMAGE PROCESSING
	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
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000247489200002
内容类型	期刊论文
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.