中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Pose estimation based on Gaussian error models

文献类型:期刊论文

作者Chai, XJ; Shan, SG; Qing, LY; Gao, W
刊名ADVANCES IN BIOMETRICS, PROCEEDINGS
出版日期2006
卷号3832页码:136-143
ISSN号0302-9743
英文摘要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.
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000235768300019
出版者SPRINGER-VERLAG BERLIN
源URL[http://119.78.100.204/handle/2XEOYT63/10450]  
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.

入库方式: OAI收割

来源:计算技术研究所

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