中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 计算技术研究所
  3. 中国科学院计算技术研究所
  4. 中国科学院计算技术研究所期刊论文
  5. 英文
Funnel-structured cascade for multi-view face detection with alignment awareness

文献类型：期刊论文

作者Wu, Shuzhe2; Kan, Meina1,2; He, Zhenliang2; Shan, Shiguang1,2; Chen, Xilin2
刊名NEUROCOMPUTING
出版日期2017-01-19
卷号221页码:138-145
关键词Face detection Multi-view Cascade Multilayer perceptron
ISSN号0925-2312
DOI10.1016/j.neucotn.2016.09.072
英文摘要Multi-view face detection in open environment is a challenging task due to diverse variations of face appearances and shapes. Most multi-view face detectors depend on multiple models and organize them in parallel, pyramid or tree structure, which compromise between the accuracy and time-cost. Aiming at a more favorable multi-view face detector, we propose a novel funnel-structured cascade (FuSt) detection framework. In a coarse-to-fine flavor, our FuSt consists of, from top to bottom, (1) multiple view-specific fast LAB cascade for extremely quick face proposal, (2) multiple coarse MLP cascade for further candidate window verification, and (3) a unified fine MLP cascade with shape-indexed features for accurate face detection. Compared with other structures, on the one hand, the proposed one uses multiple computationally efficient distributed classifiers to propose a small number of candidate windows but with a high recall of multi-view faces. On the other hand, by using a unified MLP cascade to examine proposals of all views in a centralized style, it provides a favorable solution for multi-view face detection with high accuracy and low time cost. Besides, the FuSt detector is alignment-aware and performs a coarse facial part prediction which is beneficial for subsequent face alignment. Extensive experiments on two challenging datasets, FDDB and AFW, demonstrate the effectiveness of our FuSt detector in both accuracy and speed.
资助项目973 Program[2015CB351802] ; Natural Science Foundation of China[61173065] ; Natural Science Foundation of China[61222211] ; Natural Science Foundation of China[61402443] ; Natural Science Foundation of China[61390511] ; Strategic Priority Research Program of the CAS[XDB02070004]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000390505300012
出版者ELSEVIER SCIENCE BV
源URL[http://119.78.100.204/handle/2XEOYT63/7770]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Shan, Shiguang
作者单位1.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Wu, Shuzhe,Kan, Meina,He, Zhenliang,et al. Funnel-structured cascade for multi-view face detection with alignment awareness[J]. NEUROCOMPUTING,2017,221:138-145.
APA Wu, Shuzhe,Kan, Meina,He, Zhenliang,Shan, Shiguang,&Chen, Xilin.(2017).Funnel-structured cascade for multi-view face detection with alignment awareness.NEUROCOMPUTING,221,138-145.
MLA Wu, Shuzhe,et al."Funnel-structured cascade for multi-view face detection with alignment awareness".NEUROCOMPUTING 221(2017):138-145.

入库方式： OAI收割

来源：计算技术研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。