Pose estimation based on Gaussian error models

	Pose estimation based on Gaussian error models
	Chai, XJ ; Shan, SG ; Qing, LY ; Gao, W
	2006
发表期刊	ADVANCES IN BIOMETRICS, PROCEEDINGS
ISSN	0302-9743
卷号	3832 页码:136-143
摘要	In this paper, a new method is presented to estimate the 3D pose of facial image based on statistical Gaussian error models. The basic idea is that the pose angle can be computed by the orthogonal projection computation if the specific 3D shape vector of the given person is known. In our algorithm, Gaussian probability density function is used to model the distributions of the 3D shape vector as well as the errors between the orthogonal projection computation and the weak perspective projection. By using the prior knowledge of the errors distribution, the most likely 3D shape vector can be referred by the labeled 2D landmarks in the given facial image according to the maximum posterior probability theory. Refining the error term, thus the pose parameters can be estimated by the transformed orthogonal projection formula. Experimental results on real images are presented to give the objective evaluation.
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号	WOS:000235768300019
出版者	SPRINGER-VERLAG BERLIN
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/10451
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, XJ
作者单位	1.Harbin Inst Technol, Sch Comp Sci & Technol, Harbin 150001, Peoples R China 2.Chinese Acad Sci, ICT, ICT ISVISION Joint R&D Lab Face Recognit, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Chai, XJ,Shan, SG,Qing, LY,et al. Pose estimation based on Gaussian error models[J]. ADVANCES IN BIOMETRICS, PROCEEDINGS,2006,3832:136-143.
APA	Chai, XJ,Shan, SG,Qing, LY,&Gao, W.(2006).Pose estimation based on Gaussian error models.ADVANCES IN BIOMETRICS, PROCEEDINGS,3832,136-143.
MLA	Chai, XJ,et al."Pose estimation based on Gaussian error models".ADVANCES IN BIOMETRICS, PROCEEDINGS 3832(2006):136-143.