Funnel-structured cascade for multi-view face detection with alignment awareness

doi:10.1016/j.neucotn.2016.09.072

	Funnel-structured cascade for multi-view face detection with alignment awareness
	Wu, Shuzhe 1; Kan, Meina 1,2; He, Zhenliang 1; Shan, Shiguang 1,2; Chen, Xilin 1
	2017-01-19
发表期刊	NEUROCOMPUTING
ISSN	0925-2312
卷号	221 页码:138-145
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.
关键词	Face detection Multi-view Cascade Multilayer perceptron
DOI	10.1016/j.neucotn.2016.09.072
收录类别	SCI
语种	英语
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
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000390505300012
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：71[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/7771
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, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing, 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.