基于CiteSpace的人脸识别研究文献可视化图谱分析  

Analysis of Visualized Atlas of Face Recognition Research Literature Based on CiteSpace

作　　者：王贺霏 蒋云云 傅博[1] WANG Hefei;JIANG Yunyun;FU Bo(College of Computer and Information Science,Liaoning Normal University,Dalian 116081,China)

机构地区：[1]辽宁师范大学计算机与信息技术学院,辽宁大连116081

出　　处：《吉林大学学报（信息科学版）》2022年第5期710-719,共10页Journal of Jilin University（Information Science Edition）

基　　金：国家自然科学基金资助项目(61702246)。

摘　　要：为进一步揭示目前人脸识别领域的核心国家、机构、学科、研究热点与前沿,运用CiteSpace可视化分析软件,对全球人脸识别领域检索到共15 494篇文献中选取的10 000篇文献,从国家、学科、研究机构、热点关键词等角度进行可视化处理并从技术与应用两个维度分析。得出结论:口罩遮挡条件下的人脸识别技术的应用、K-SVD(K-Singular Value Decomposition)算法判别性改进以及人脸识别技术融合方面仍存在问题亟待解决。结合三维图像识别、注重测试集特征、与多学科融合可一定程度解决当前问题。In order to further reveal the current core countries, institutions, disciplines, research hotspots and frontiers in the field of face recognition, CiteSpace visual analysis software is used to retrieve 10 000 documents from a total of 15 494 documents in the global face recognition field. Visual processing from the perspectives of countries, disciplines, research institutions, hot keywords, etc. and analysis from two dimensions of technology and application. It is concluded that there are still problems in the application of face recognition technology under the condition of mask occlusion. The improvement of K-SVD(K-Singular Value Decomposition)algorithm discrimination and the fusion of face recognition technology are believed can solve to a certain extent by combining 3 D image recognition, focusing on the characteristics of the test set, and integrating with multiple disciplines.

关 键 词：人脸识别 遮挡问题 CiteSpace软件 可视化图谱 

分 类 号：TN911.73[电子电信—通信与信息系统]