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Locating Facial Landmarks Using Probabilistic Random Forest

文献类型：期刊论文

作者Luo, Changwei1; Wang, Zengfu1,2; Wang, Shaobiao3; Zhang, Juyong4; Yu, Jun1
刊名IEEE SIGNAL PROCESSING LETTERS
出版日期2015-12-01
卷号22期号:12页码:2324-2328
关键词Face Alignment Local Binary Features Probabilistic Random Forest Probability Features
DOI10.1109/LSP.2015.2480758
文献子类Article
英文摘要Random forest is a useful tool for face alignment/tracking. The method of regressing local binary features learned from random forest has achieved state-of-the-art performance both in fitting accuracy and speed. Despite the great success of this method, it has certain weaknesses: the number of available local binary features is rather limited and is not optimal for face alignment; the binary features inevitably lead to serious jitter when tracking a video sequence. To address these problems, we propose learning probability features from probabilistic random forest (PRF). The proposed PRF is the same as standard random forest except that it models the probability of a sample belonging to the nodes of a tree. By using the probability features, our method significantly outperforms the state-of-the-art in terms of accuracy. It also achieves about 60 fps for locating a few facial landmarks. In addition, our method shows excellent stability in face tracking.
WOS关键词FACE ALIGNMENT ; REGRESSION
WOS研究方向Engineering
语种英语
WOS记录号WOS:000381944500001
资助机构National Natural Science Foundation of China(61472393 ; National Natural Science Foundation of China(61472393 ; National Natural Science Foundation of China(61472393 ; National Natural Science Foundation of China(61472393 ; Open Project Program of the State Key Lab of CAD&CG, Zhejiang University(A1501) ; Open Project Program of the State Key Lab of CAD&CG, Zhejiang University(A1501) ; Open Project Program of the State Key Lab of CAD&CG, Zhejiang University(A1501) ; Open Project Program of the State Key Lab of CAD&CG, Zhejiang University(A1501) ; 61303150) ; 61303150) ; 61303150) ; 61303150) ; National Natural Science Foundation of China(61472393 ; National Natural Science Foundation of China(61472393 ; National Natural Science Foundation of China(61472393 ; National Natural Science Foundation of China(61472393 ; Open Project Program of the State Key Lab of CAD&CG, Zhejiang University(A1501) ; Open Project Program of the State Key Lab of CAD&CG, Zhejiang University(A1501) ; Open Project Program of the State Key Lab of CAD&CG, Zhejiang University(A1501) ; Open Project Program of the State Key Lab of CAD&CG, Zhejiang University(A1501) ; 61303150) ; 61303150) ; 61303150) ; 61303150)
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/30845]  
专题合肥物质科学研究院_中科院合肥智能机械研究所
作者单位1.Univ Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China
2.Chinese Acad Sci, Inst Intelligent Machines, Hefei 230031, Peoples R China
3.Univ Sci & Technol China, Sch Comp Sci & Technol, Hefei 230027, Peoples R China
4.Univ Sci & Technol China, Sch Math Sci, Hefei 230027, Peoples R China
推荐引用方式
GB/T 7714		 Luo, Changwei,Wang, Zengfu,Wang, Shaobiao,et al. Locating Facial Landmarks Using Probabilistic Random Forest[J]. IEEE SIGNAL PROCESSING LETTERS,2015,22(12):2324-2328.
APA Luo, Changwei,Wang, Zengfu,Wang, Shaobiao,Zhang, Juyong,&Yu, Jun.(2015).Locating Facial Landmarks Using Probabilistic Random Forest.IEEE SIGNAL PROCESSING LETTERS,22(12),2324-2328.
MLA Luo, Changwei,et al."Locating Facial Landmarks Using Probabilistic Random Forest".IEEE SIGNAL PROCESSING LETTERS 22.12(2015):2324-2328.

入库方式： OAI收割

来源：合肥物质科学研究院

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