Institutional Repository of Chinese Acad Sci, Inst Intelligent Machines, Hefei 230031, Anhui, Peoples R China
Locating Facial Landmarks Using Probabilistic Random Forest | |
Luo, Changwei1; Wang, Zengfu1,2![]() | |
2015-12-01 | |
发表期刊 | IEEE SIGNAL PROCESSING LETTERS
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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 |
DOI | 10.1109/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 | |
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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Locating Facial Land(549KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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