Face detection by structural models
Yan, Junjie; Zhang, Xuzong; Lei, Zhen; Li, Stan Z.
2014-10-01
发表期刊IMAGE AND VISION COMPUTING
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
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/8023
专题模式识别国家重点实验室_生物识别与安全技术研究
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.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Yan, Junjie]的文章
[Zhang, Xuzong]的文章
[Lei, Zhen]的文章
百度学术
百度学术中相似的文章
[Yan, Junjie]的文章
[Zhang, Xuzong]的文章
[Lei, Zhen]的文章
必应学术
必应学术中相似的文章
[Yan, Junjie]的文章
[Zhang, Xuzong]的文章
[Lei, Zhen]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。