Spatial alignment network for facial landmark localization

doi:10.1007/s11280-018-0615-9

	Spatial alignment network for facial landmark localization
	Li, Huifang 1; Li, Yidong 1; Xing, Junliang2 ; Dong, Hairong 3
发表期刊	WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
ISSN	1386-145X
	2019-07-01
卷号	22 期号:4 页码:1481-1498
通讯作者	Li, Yidong(ydli@bjtu.edu.cn)
摘要	Facial Landmark Localization (FLL) on unconstrained images still remains challenging as they poses complex variation in face spatial structure and appearance. To address this problem, we propose a Spatial Alignment Network (SAN), which consist of two modules, like the transformation sub-network and the estimation sub-network. In the first module, we propose two methods to achieving spatial transformation, one is the handcrafted method which can ensure model stability and the other is the learning-based method which is efficient and flexible. In the second module, we add an attention layer in the deep CNN to enhance the importance of discriminative features and obtain more accurate results. Through extensive experiments, our model achieves good performance on several public challenging datasets.
关键词	Facial landmark localization Spatial transformation Canonical shape Attention Convolution neural network
DOI	10.1007/s11280-018-0615-9
收录类别	SCI
语种	英语
资助项目	National Science Foundation of China[61672088] ; National Science Foundation of China[61790575] ; Fundamental Research Funds for the Central Universities[2018JBZ002] ; National Science Foundation of China[61672088] ; National Science Foundation of China[61790575] ; Fundamental Research Funds for the Central Universities[2018JBZ002]
项目资助者	National Science Foundation of China ; Fundamental Research Funds for the Central Universities
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering
WOS记录号	WOS:000472676800005
出版者	SPRINGER
引用统计	被引频次：5[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/173211/27858
专题	复杂系统认知与决策实验室_智能系统与工程
通讯作者	Li, Yidong
作者单位	1.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 3.Beijing Jiaotong Univ, Rail Traff Control & Safety, Beijing 100044, Peoples R China
推荐引用方式 GB/T 7714	Li, Huifang,Li, Yidong,Xing, Junliang,et al. Spatial alignment network for facial landmark localization[J]. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS,2019,22(4):1481-1498.
APA	Li, Huifang,Li, Yidong,Xing, Junliang,&Dong, Hairong.(2019).Spatial alignment network for facial landmark localization.WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS,22(4),1481-1498.
MLA	Li, Huifang,et al."Spatial alignment network for facial landmark localization".WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS 22.4(2019):1481-1498.