A novel approach inspired by optic nerve characteristics for few-shot occluded face recognition

doi:10.1016/j.neucom.2019.09.045

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 approach inspired by optic nerve characteristics for few-shot occluded face recognition
	Zheng, Wenbo 1,3; Gou, Chao2 ; Wang, Fei-Yue3,4
发表期刊	NEUROCOMPUTING
ISSN	0925-2312
	2020-02-01
卷号	376 页码:25-41
通讯作者	Wang, Fei-Yue(feiyue.wang@ia.ac.cn)
摘要	Although there has been a growing body of work for face recognition, it is still a challenging task for faces under occlusion with limited training samples. In this work, we propose a novel framework to address the problem of few-shot occluded face recognition. In particular, inspired by the human being's optic nerves characteristics that humans recognize the face under occlusion using contextual information rather than paying attention to the facial parts, we propose an effective feature extraction approach to capture the local and contextual information for face recognition. To enhance the robustness, we further introduce an adaptive fusion method to incorporate multiple features, including the proposed structural element feature, connected-granule labeling feature, and Reinforced Centrosymmetric Local Binary Pattern (RCSLBP). Final recognition is derived from the fusion of all classification results according to our proposed novel fusion method. Experimental results on three popular face image datasets of AR, Extended Yale B, and LFW demonstrate that our method performs better than many existing ones for few-shot face recognition in the presence of occlusion. (C) 2019 Elsevier B.V. All rights reserved.
关键词	Sparse representation Adaptive fusion feature Few-shot learning Face recognition Face occlusion Dictionary learning
DOI	10.1016/j.neucom.2019.09.045
关键词[WOS]	CONSISTENT K-SVD ; DISCRIMINATIVE DICTIONARY ; SPARSE REPRESENTATION ; IMAGE ; ROBUST ; FEATURES ; OCCLUSION ; TEXTURE ; EXTRACTION ; REGRESSION
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61806198] ; National Natural Science Foundation of China[61533019] ; National Natural Science Foundation of China[U1811463] ; National Natural Science Foundation of China[61806198] ; National Natural Science Foundation of China[61533019] ; National Natural Science Foundation of China[U1811463]
项目资助者	National Natural Science Foundation of China
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000503433800003
出版者	ELSEVIER
七大方向——子方向分类	人工智能+医疗
引用统计	被引频次：24[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/173211/29476
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	Wang, Fei-Yue
作者单位	1.Xi An Jiao Tong Univ, Sch Software Engn, Xian 710049, Shaanxi, Peoples R China 2.Sun Yat Sen Univ, Sch Intelligent Syst Engn, Guangzhou 510275, Guangdong, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Macau Univ Sci & Technol, Inst Syst Engn, Macau 999078, Peoples R China
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Zheng, Wenbo,Gou, Chao,Wang, Fei-Yue. A novel approach inspired by optic nerve characteristics for few-shot occluded face recognition[J]. NEUROCOMPUTING,2020,376:25-41.
APA	Zheng, Wenbo,Gou, Chao,&Wang, Fei-Yue.(2020).A novel approach inspired by optic nerve characteristics for few-shot occluded face recognition.NEUROCOMPUTING,376,25-41.
MLA	Zheng, Wenbo,et al."A novel approach inspired by optic nerve characteristics for few-shot occluded face recognition".NEUROCOMPUTING 376(2020):25-41.