Face detection by structural models

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 生物识别与安全技术

	Face detection by structural models
	Yan, Junjie ; Zhang, Xuzong ; Lei, Zhen; Li, Stan Z.
发表期刊	IMAGE AND VISION COMPUTING
	2014-10-01
卷号	32 期号:10 页码:790-799
文章类型	Article
摘要	Despite the successes in the last two decades, the state-of-the-art face detectors still have problems in dealing with images in the wild due to large appearance variations. Instead of leaving appearance variations directly to statistical learning algorithms, we propose a hierarchical part based structural model to explicitly capture them. The model enables part subtype option to handle local appearance variations such as closed and open month, and part deformation to capture the global appearance variations such as pose and expression. In detection, candidate window is fitted to the structural model to infer the part location and part subtype, and detection score is then computed based on the fitted configuration. In this way, the influence of appearance variation is reduced. Besides the face model, we exploit the co-occurrence between face and body, which helps to handle large variations, such as heavy occlusions, to further boost the face detection performance. We present a phrase based representation for body detection, and propose a structural context model to jointly encode the outputs of face detector and body detector. Benefit from the rich structural face and body information, as well as the discriminative structural learning algorithm, our method achieves state-of-the-art performance on FDDB, AFW and a self-annotated dataset, under wide comparisons with commercial and academic methods. (C) 2013 Elsevier B.V. All rights reserved.
关键词	Face Detection Structural Model Face-body Co-occurrence
WOS标题词	Science & Technology ; Technology ; Physical Sciences
关键词[WOS]	OBJECT DETECTION ; POSE ESTIMATION ; REPRESENTATION ; LOCALIZATION ; RECOGNITION ; CASCADE ; PARTS ; LBP
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering ; Optics
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics
WOS记录号	WOS:000342256700016
引用统计	被引频次：104[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/8023
专题	多模态人工智能系统全国重点实验室_生物识别与安全技术
作者单位	1.Chinese Acad Sci, Ctr Biometr & Secur Res, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Yan, Junjie,Zhang, Xuzong,Lei, Zhen,et al. Face detection by structural models[J]. IMAGE AND VISION COMPUTING,2014,32(10):790-799.
APA	Yan, Junjie,Zhang, Xuzong,Lei, Zhen,&Li, Stan Z..(2014).Face detection by structural models.IMAGE AND VISION COMPUTING,32(10),790-799.
MLA	Yan, Junjie,et al."Face detection by structural models".IMAGE AND VISION COMPUTING 32.10(2014):790-799.