A Novel Face Super-Resolution Method Based on Parallel Imaging and OpenVINO

doi:10.1155/2021/6648983

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	A Novel Face Super-Resolution Method Based on Parallel Imaging and OpenVINO
	Huang, Zhijie 1; Zheng, Wenbo 2,3; Yan, Lan 3,4; Gou, Chao1
发表期刊	MATHEMATICAL PROBLEMS IN ENGINEERING
ISSN	1024-123X
	2021-02-15
卷号	2021 页码:9
通讯作者	Gou, Chao(gouchao@mail.sysu.edu.cn)
摘要	Face image super-resolution refers to recovering a high-resolution face image from a low-resolution one. In recent years, due to the breakthrough progress of deep representation learning for super-resolution, the study of face super-resolution has become one of the hot topics in the field of super-resolution. However, the performance of these deep learning-based approaches highly relies on the scale of training samples and is limited in efficiency in real-time applications. To address these issues, in this work, we introduce a novel method based on the parallel imaging theory and OpenVINO. In particular, inspired by the methodology of learning-by-synthesis in parallel imaging, we propose to learn from the combination of virtual and real face images. In addition, we introduce a center loss function borrowed from the deep model to enhance the robustness of our model and propose to apply OpenVINO to speed up the inference. To the best of our knowledge, it is the first time to tackle the problem of face super-resolution based on parallel imaging methodology and OpenVINO. Extensive experimental results and comparisons on the publicly available LFW, WebCaricature, and FERET datasets demonstrate the effectiveness and efficiency of the proposed method.
DOI	10.1155/2021/6648983
收录类别	SCI
语种	英语
资助项目	National Key R&D Program of China[2020YFB1600400] ; National Natural Science Foundation of China[61806198] ; Key Research and Development Program of Guangzhou[202007050002]
项目资助者	National Key R&D Program of China ; National Natural Science Foundation of China ; Key Research and Development Program of Guangzhou
WOS研究方向	Engineering ; Mathematics
WOS类目	Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
WOS记录号	WOS:000625374100005
出版者	HINDAWI LTD
引用统计	被引频次：4[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/173211/44055
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Gou, Chao
作者单位	1.Sun Yat Sen Univ, Sch Intelligent Syst Engn, Guangzhou 510275, Peoples R China 2.Xi An Jiao Tong Univ, Sch Software Engn, Xian 710049, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Huang, Zhijie,Zheng, Wenbo,Yan, Lan,et al. A Novel Face Super-Resolution Method Based on Parallel Imaging and OpenVINO[J]. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,2021:9.
APA	Huang, Zhijie,Zheng, Wenbo,Yan, Lan,&Gou, Chao.(2021).A Novel Face Super-Resolution Method Based on Parallel Imaging and OpenVINO.MATHEMATICAL PROBLEMS IN ENGINEERING,2021,9.
MLA	Huang, Zhijie,et al."A Novel Face Super-Resolution Method Based on Parallel Imaging and OpenVINO".MATHEMATICAL PROBLEMS IN ENGINEERING 2021(2021):9.