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	Real-time multiview face detection and pose estimation based on cost-sensitive AdaBoost
	Ma Yong ; Ding Xiaoqing
	2010-05-06 ; 2010-05-06
关键词	Theoretical or Mathematical/ algorithm theory face recognition feature extraction generalisation (artificial intelligence) position measurement real-time systems/ pose estimation real-time multiview face detection AdaBoost algorithm cost-sensitivity multiview faces simple-to-complex based detector architecture coarse-to-fine view-based detector architecture face detector nonface detector/ B6135E Image recognition B7320C Spatial variables measurement C5260B Computer vision and image processing techniques C1230 Artificial intelligence
中文摘要	Locating multiview faces in images with a complex background remains a challenging problem. In this paper, an integrated method for real-time multi-view face detection and pose estimation is presented. A simple-to-complex and coarse-to-fine view-based detector architecture has been designed to detect multi-view faces and estimate their poses efficiently. Both the pose estimators and the view-based face/nonface detectors are trained by a cost-sensitive AdaBoost algorithm to improve the generalization ability. Experimental results show that the proposed multi-view face detector, which can be constructed easily, gives more robust face detection and pose estimation and has a faster real-time detection speed compared with other conventional methods.
语种	英语 ; 英语
出版者	Editorial Board of J. of Tsinghua University ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/11292]
专题	清华大学
推荐引用方式 GB/T 7714	Ma Yong,Ding Xiaoqing. Real-time multiview face detection and pose estimation based on cost-sensitive AdaBoost[J],2010, 2010.
APA	Ma Yong,&Ding Xiaoqing.(2010).Real-time multiview face detection and pose estimation based on cost-sensitive AdaBoost..
MLA	Ma Yong,et al."Real-time multiview face detection and pose estimation based on cost-sensitive AdaBoost".(2010).

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