计算机工程与应用2019，Vol.55Issue(22)：14-24,11.DOI:10.3778/j.issn.1002-8331.1906-0005
低分辨人脸识别综述
Survey of Low-Resolution Face Recognition
摘要
Abstract
This paper comprehensively surveys the research progress of Low-Resolution(LR)face recognition methods, and discusses the unsolved issues. Firstly, the fundamental concepts, the unsolved issues, the system’s structure, and the existing LR face recognition methods are presented, respectively. Secondly, in terms of the characteristics of mismatching between the High-Resolution(HR)and LR face images, two major categories of LR face recognition methods based on Super-Resolution(SR)image and common feature subspace are introduced in detail. According to different implementa-tion processes, each category method is further divided into three different types, and the main ideas and core issues of each kind of method are analyzed and discussed. Then nine kinds of standard face databases are briefly introduced, and the experimental results of each representative method on the introduced face databases are analyzed from the aspects of recognition performance, average running time, and experimental comparisons performed on several face databases. Finally, the difficulties to be solved in the future development of LR face recognition technology are prospected.关键词
低分辨人脸识别/图像超分辨/耦合映射/字典学习/稀疏表示/神经网络Key words
low-resolution face recognition/image super-resolution/coupled mapping/dictionary learning/sparse repre-sentation/neural network分类
信息技术与安全科学引用本文复制引用
张凯兵,郑冬冬,景军锋..低分辨人脸识别综述[J].计算机工程与应用,2019,55(22):14-24,11.基金项目
国家自然科学基金(No.61471161,No.61971339) （No.61471161,No.61971339）
陕西省科技厅自然科学基础研究重点项目(No.2018JZ6002) （No.2018JZ6002）
西安工程大学博士科研启动基金(No.BS1616) （No.BS1616）
陕西省高校青年创新团队项目. （）
