[1] 夏盼盼.[\s]{1}行人检测中有效脸判定与检索模型研究[D].[\s]{1}南昌:[\s]{1}江西财经大学,[\s]{1}2017:[\s]{1}7-[\s]{1}8.[\s]{1}

    Xia[\s]{1}PP.[\s]{1}Research[\s]{1}on[\s]{1}effective[\s]{1}face[\s]{1}determine[\s]{1}and[\s]{1}retrieval[\s]{1}model[\s]{1}in[\s]{1}pedestrian[\s]{1}detection[D].[\s]{1}Nanchang:[\s]{1}Jiangxi[\s]{1}University[\s]{1}of[\s]{1}Finance[\s]{1}and[\s]{1}Economics,[\s]{1}2017:[\s]{1}7-[\s]{1}8.[\s]{1}

[2] 方冠男, 胡骞鹤, 方书雅, 等. 视频人脸图像质量评估及其在课堂点名系统中的应用[J]. 计算机应用与软件, 2018, 35(10): 140-146, 251.

    Fang G N, Hu Q H, Fang S Y, et al. Face image quality evaluation in video stream and its application in classroom attendance system[J]. Computer Applications and Software, 2018, 35(10): 140-146, 251.

[3] 刘翠.[\s]{1}基于多摄像头的人脸识别系统设计与实现[D].[\s]{1}长春:[\s]{1}东北师范大学,[\s]{1}2017:[\s]{1}30-[\s]{1}35.[\s]{1}

    LiuC.[\s]{1}Design[\s]{1}and[\s]{1}implementation[\s]{1}of[\s]{1}face[\s]{1}recognition[\s]{1}system[\s]{1}based[\s]{1}on[\s]{1}multiple[\s]{1}cameras[D].[\s]{1}Changchun:[\s]{1}Northeast[\s]{1}Normal[\s]{1}University,[\s]{1}2017:[\s]{1}30-[\s]{1}35.[\s]{1}

[4] 黄煜斌.[\s]{1}基于人脸聚类的视频结构化分析[D].[\s]{1}北京:[\s]{1}北京邮电大学,[\s]{1}2011:[\s]{1}43-[\s]{1}49.[\s]{1}

    Huang[\s]{1}YB.[\s]{1}Video[\s]{1}structure[\s]{1}analysis[\s]{1}based[\s]{1}on[\s]{1}face[\s]{1}clustering[D].[\s]{1}Beijing:[\s]{1}Beijing[\s]{1}University[\s]{1}of[\s]{1}Posts[\s]{1}and[\s]{1}Telecommunications,[\s]{1}2011:[\s]{1}43-[\s]{1}49.[\s]{1}

[5] 周成举.[\s]{1}基于约束稀疏表达的视频人脸聚类[D].[\s]{1}天津:[\s]{1}天津大学,[\s]{1}2014:[\s]{1}35-[\s]{1}38.[\s]{1}

    Zhou[\s]{1}CJ.[\s]{1}Video[\s]{1}face[\s]{1}clustering[\s]{1}based[\s]{1}on[\s]{1}constrained[\s]{1}sparse[\s]{1}expression[D].[\s]{1}Tianjin:[\s]{1}Tianjin[\s]{1}University,[\s]{1}2014:[\s]{1}35-[\s]{1}38.[\s]{1}

[6] 申小敏, 李保俊, 孙旭, 等. 基于卷积神经网络的大规模人脸聚类[J]. 广东工业大学学报, 2016, 33(6): 77-84.

    Shen X M, Li B J, Sun X, et al. Large-scale face clustering based on convolutional neural network[J]. Journal of Guangdong University of Technology, 2016, 33(6): 77-84.

[7] NasrollahiK,[\s]{1}Moeslund[\s]{1}TB.[\s]{1}Face[\s]{1}quality[\s]{1}assessment[\s]{1}system[\s]{1}in[\s]{1}video[\s]{1}sequences[M][\s]{1}∥Schouten[\s]{1}B,[\s]{1}Juul[\s]{1}N[\s]{1}C,[\s]{1}Drygajlo[\s]{1}A,[\s]{1}et[\s]{1}al.[\s]{1}Biometrics[\s]{1}and[\s]{1}identity[\s]{1}management.[\s]{1}BioID[\s]{1}2008.[\s]{1}Lecture[\s]{1}notes[\s]{1}in[\s]{1}computer[\s]{1}science.[\s]{1}Berlin,[\s]{1}Heidelberg:[\s]{1}Springer,[\s]{1}2008,[\s]{1}5372:[\s]{1}10-[\s]{1}18.[\s]{1}

[8] 蒋刚毅, 黄大江, 王旭, 等. 图像质量评价方法研究进展[J]. 电子与信息学报, 2010, 32(1): 219-226.

    Jiang G Y, Huang D J, Wang X, et al. Overview on image quality assessment methods[J]. Journal of Electronics & Information Technology, 2010, 32(1): 219-226.

[9] WongY,[\s]{1}Chen[\s]{1}SK,[\s]{1}MauS,[\s]{1}et[\s]{1}al.[\s]{1}Patch-based[\s]{1}probabilistic[\s]{1}image[\s]{1}quality[\s]{1}assessment[\s]{1}for[\s]{1}face[\s]{1}selection[\s]{1}and[\s]{1}improved[\s]{1}video-based[\s]{1}face[\s]{1}recognition[C]∥CVPR[\s]{1}2011[\s]{1}WORKSHOPS,[\s]{1}June[\s]{1}20-25,[\s]{1}2011,[\s]{1}Colorado[\s]{1}Springs,[\s]{1}CO,[\s]{1}USA.[\s]{1}New[\s]{1}York:[\s]{1}IEEE,[\s]{1}2011:[\s]{1}74-[\s]{1}81.[\s]{1}

[10] 范赐恩, 冉杰文, 颜佳, 等. 颜色空间统计联合纹理特征的无参考图像质量评价[J]. 光学精密工程, 2018, 26(4): 916-926.

    Fan C E, Ran J W, Yan J, et al. No-reference image quality assessment using joint color space statistical and texture feature[J]. Optics and Precision Engineering, 2018, 26(4): 916-926.

[11] 陈正浩, 吴云东, 蔡国榕, 等. 基于纹理特征融合的人脸图像质量评估算法[J]. 集美大学学报(自然科学版), 2018, 23(4): 312-320.

    Chen Z H, Wu Y D, Cai G R, et al. Face quality assessment algorithm based on texture feature fusion[J]. Journal of Jimei University(Natural Science), 2018, 23(4): 312-320.

[12] 王亚, 朱明, 刘成林. 基于CNN的监控视频中人脸图像质量评估[J]. 计算机系统应用, 2018, 27(11): 71-77.

    Wang Y, Zhu M, Liu C L. Face image quality assessment in surveillance videos using CNN[J]. Computer Systems & Applications, 2018, 27(11): 71-77.

[13] Liu G R, Xu Y, Lan J P. No-reference face image assessment based on deep features[J]. Proceedings of SPIE, 2016, 9977: 99711S.

[14] He[\s]{1}KM,[\s]{1}Zhang[\s]{1}XY,[\s]{1}Ren[\s]{1}SQ,[\s]{1}et[\s]{1}al.[\s]{1}Deep[\s]{1}residual[\s]{1}learning[\s]{1}for[\s]{1}image[\s]{1}recognition[C]∥2016[\s]{1}IEEE[\s]{1}Conference[\s]{1}on[\s]{1}Computer[\s]{1}Vision[\s]{1}and[\s]{1}Pattern[\s]{1}Recognition[\s]{1}(CVPR),[\s]{1}June[\s]{1}27-30,[\s]{1}2016,[\s]{1}Las[\s]{1}Vegas,[\s]{1}NV,[\s]{1}USA.[\s]{1}New[\s]{1}York:[\s]{1}IEEE,[\s]{1}2016:[\s]{1}770-[\s]{1}778.[\s]{1}

[15] BiemannC.[\s]{1}Chinese[\s]{1}whispers:[\s]{1}an[\s]{1}efficient[\s]{1}graph[\s]{1}clustering[\s]{1}algorithm[\s]{1}and[\s]{1}its[\s]{1}application[\s]{1}to[\s]{1}natural[\s]{1}language[\s]{1}processing[\s]{1}problems[C]∥The[\s]{1}First[\s]{1}Workshop[\s]{1}on[\s]{1}Graph[\s]{1}Based[\s]{1}Methods[\s]{1}for[\s]{1}Natural[\s]{1}Language[\s]{1}Processing.[\s]{1}Stroudsburg:[\s]{1}Association[\s]{1}for[\s]{1}Computational[\s]{1}Linguistics,[\s]{1}2006:[\s]{1}73-[\s]{1}80.[\s]{1}

[16] 段培聪.[\s]{1}基于特征点的人脸姿态估计与识别系统研究[D].[\s]{1}西安:[\s]{1}西安电子科技大学,[\s]{1}2017:[\s]{1}42-[\s]{1}76.[\s]{1}

    Duan[\s]{1}PC.[\s]{1}Research[\s]{1}on[\s]{1}face[\s]{1}pose[\s]{1}estimation[\s]{1}and[\s]{1}recognition[\s]{1}system[\s]{1}based[\s]{1}on[\s]{1}feature[\s]{1}point[D].[\s]{1}Xi'an:Xidian[\s]{1}University,[\s]{1}2017:[\s]{1}42-[\s]{1}76.[\s]{1}

[17] Pech-Pacheco[\s]{1}JL,[\s]{1}CristobalG,[\s]{1}Chamorro-MartinezJ,[\s]{1}et[\s]{1}al.[\s]{1}Diatom[\s]{1}autofocusing[\s]{1}in[\s]{1}brightfield[\s]{1}microscopy:[\s]{1}a[\s]{1}comparative[\s]{1}study[C]∥15th[\s]{1}International[\s]{1}Conference[\s]{1}on[\s]{1}Pattern[\s]{1}Recognition,[\s]{1}September[\s]{1}3-7,[\s]{1}2000,[\s]{1}Barcelona,[\s]{1}Spain.[\s]{1}New[\s]{1}York:[\s]{1}IEEE,[\s]{1}2002:[\s]{1}6894564.[\s]{1}

[18] 孟繁静.[\s]{1}基于视频的实时多人脸检测跟踪与优选方法研究[D].[\s]{1}长春:[\s]{1}东北师范大学,[\s]{1}2016:[\s]{1}51-[\s]{1}60.[\s]{1}

    Meng[\s]{1}FJ.[\s]{1}Research[\s]{1}on[\s]{1}real-time[\s]{1}video-based[\s]{1}multiple[\s]{1}faces[\s]{1}detection,[\s]{1}tracking[\s]{1}and[\s]{1}optimization[\s]{1}methods[D].[\s]{1}Changchun:[\s]{1}Northeast[\s]{1}Normal[\s]{1}University,[\s]{1}2016:[\s]{1}51-[\s]{1}60.[\s]{1}

[19] 王燕群, 童卫青, 张昌明. 基于边缘统计和特征定位的人睑姿态估计方法[J]. 计算机系统应用, 2011, 20(4): 86-90.

    Wang Y Q, Tong W Q, Zhang C M. Face pose estimation based on edge statistics and feature location[J]. Computer Systems & Applications, 2011, 20(4): 86-90.