标题:AUTOMATIC AND ROBUST HEAD POSE ESTIMATION BY BLOCK ENERGY MAP
作者:Li, Wei; Huang, Yan; Peng, Jingliang
通讯作者:Peng, JL
作者机构:[Li, Wei; Huang, Yan; Peng, Jingliang] Shandong Univ, Sch Comp Sci & Technol, Jinan, Peoples R China.
会议名称:IEEE International Conference on Image Processing (ICIP)
会议日期:OCT 27-30, 2014
来源:2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
出版年:2014
页码:3357-3361
关键词:Head pose estimation; block energy map (BEM); support vector regression; (SVR); Gaussian processes regression (GPR)
摘要:It is a crucial problem to estimate head pose automatically and robustly in many visual applications. In order to solve this problem, we propose in this work a novel and simple face image descriptor (i.e., block energy map) and, based on which, complete schemes for automatic and robust head pose estimation using support vector regression and Gaussian processes regression, respectively. The proposed descriptor and schemes contrast with many of the previously published ones that rely on manual assistance to locate the face position in an input image and/or are sensitive to factors such as identity and misalignment. Experimental results demonstrate the superiority of the proposed descriptor and schemes.
收录类别:CPCI-S
WOS核心被引频次:1
资源类型:会议论文
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