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Locating Facial Landmarks Using Probabilistic Random Forest
Luo, Changwei1; Wang, Zengfu1,2; Wang, Shaobiao3; Zhang, Juyong4; Yu, Jun1
2015-12-01
发表期刊IEEE SIGNAL PROCESSING LETTERS
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.
文章类型Article
关键词Face Alignment Local Binary Features Probabilistic Random Forest Probability Features
WOS标题词Science & Technology ; Technology
DOI10.1109/LSP.2015.2480758
关键词[WOS]FACE ALIGNMENT ; REGRESSION
收录类别SCI
语种英语
项目资助者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)
WOS研究方向Engineering
WOS类目Engineering, Electrical & Electronic
WOS记录号WOS:000381944500001
引用统计
被引频次:14[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.hfcas.ac.cn:8080/handle/334002/30845
专题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.
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