中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A novel approach inspired by optic nerve characteristics for few-shot occluded face recognition

文献类型:期刊论文

作者Zheng, Wenbo2,4; Gou, Chao3; Wang, Fei-Yue1,4
刊名NEUROCOMPUTING
出版日期2020-02-01
卷号376页码:25-41
关键词Sparse representation Adaptive fusion feature Few-shot learning Face recognition Face occlusion Dictionary learning
ISSN号0925-2312
DOI10.1016/j.neucom.2019.09.045
通讯作者Wang, Fei-Yue(feiyue.wang@ia.ac.cn)
英文摘要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.
WOS关键词CONSISTENT K-SVD ; DISCRIMINATIVE DICTIONARY ; SPARSE REPRESENTATION ; IMAGE ; ROBUST ; FEATURES ; OCCLUSION ; TEXTURE ; EXTRACTION ; REGRESSION
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]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000503433800003
出版者ELSEVIER
资助机构National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/29475]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Wang, Fei-Yue
作者单位1.Macau Univ Sci & Technol, Inst Syst Engn, Macau 999078, Peoples R China
2.Xi An Jiao Tong Univ, Sch Software Engn, Xian 710049, Shaanxi, Peoples R China
3.Sun Yat Sen Univ, Sch Intelligent Syst Engn, Guangzhou 510275, Guangdong, Peoples R China
4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
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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.

入库方式: OAI收割

来源:自动化研究所

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