[1] SUWA M,SUGLE N,FUJIMORA K.A preliminary note on pattern recognition of human emotional expression[C]//Proceedings of the 4th International Joint Conference on Pattern Recognition.Washington D.C.,USA:IEEE Press,1978:408-410. [2] MASE K.Recognition of facial expression from optical flow[J].IEICE Transactions on Information and Systems,1991,74(10):3474-3483. [3] SHAN C F,GONG S G,MCOWAN P W.Facial expression recognition based on local binary patterns:a comprehensive study[J].Image and Vision Computing,2009,27(6):803-816. [4] ZHI R C,FLIERL M,RUAN Q,et al.Graph-preserving sparse nonnegative matrix factorization with application to facial expression recognition[J].IEEE Transactions on Systems,2011,(41)1:38-52. [5] ZHONG Lin,LIU Qingshan,YANG Peng,et al.Learning active facial patches for expression analysis[C]//Proceedings of 2012 International Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2012:2562-2569. [6] MATSUGU M,MORI K,MITARI Y,et al.Subject independent facial expression recognition with robust face detection using a convolutional neural network[J].Neural Networks,2003,16(5):555-559. [7] SUN Bo,LI Liandong,ZHOU Guoyan,et al.Facial expression recognition in the wild based on multimodal texture features[J].Journal of Electronic Imaging,2016,25(6):21-27. [8] ZHAO Shuwen,CAI Haibin,LIU Honghai,et al.Feature selection mechanism in CNNs for facial expression recognition[EB/OL].[2019-10-17].https://dblp.uni-trier.de/rec/conf/bmvc/ZhaoCLZC18.html. [9] CAI J,MENG Z B,KHAN A S,et al.Island loss for learning discriminative features in facial expression recognition[C]//Proceedings of 2018 IEEE International Conference on Automatic Face and Gesture Recognition.Washington D.C.,USA:IEEE Press,2018:302-309. [10] KIM B K,ROH S,DONG Y,et al.Hierarchical committee of deep convolutional neural networks for robust facial expression recognition[J].Journal on Multimodal User Interfaces,2016,10(2):173-189. [11] HE Jun,LIU Yue,LI Changhong,et al.Study on expression recognition based on improved deep residual network[J].Computer Application Research,2020,37(5):1578-1581.(in Chinese)何俊,刘跃,李倡洪,等.基于改进的深度残差网络的表情识别研究[J].计算机应用研究,2020,37(5):1578-1581. [12] HIJAZI S,KUMAR R,ROWEN C.Using convolutional neural networks for image recognition[EB/OL].[2019-10-17].https://www.researchgate.net/publication/326536637_Small_Sample_Image_Recognition_Using_Improved_Convolutional_Neural_Network. [13] KRIZHEVSKY A,SUTSKEVER I,HINTON G E.Imagenet classification with deep convolutional neural networks[C]//Proceedings of NIPS'12.[S.l.]:NIPS Foundation,2012:1097-1105. [14] SIMONYAN K,ZISSERMAN A.Very deep convolutional networks for large-scale image recognition[EB/OL].[2019-10-17].https://www.researchgate.net/publication/265385906_Very_Deep_Convolutional_Networks_for_Large-Scale_Image_Recognition. [15] XU Bing,WANG Naiyan,CHEN Tianqi,et al.Empirical evaluation of rectified activations in convolutional network[EB/OL].[2019-10-17].https://www.researchgate.net/publication/275974753_Empirical_Evaluation_of_Rectified_Activations_in_Convolutional_Network. [16] LI Lingxia,WANG Yu,WU Jinjun,et al.Micro-motion hand gesture recognition method based on improved multiple dimensional convolution neural network[J].Computer Engineering,2018,44(9):243-249.(in Chinese)李玲霞,王羽,吴金君,等.基于改进型多维卷积神经网络的微动手势识别方法[J].计算机工程,2018,44(9):243-249. [17] GOODFELLOW I J,ERHAN D,CARRIER P L,et al.Challenges in representation learning:a report on three machine learning contests[C]//Proceedings of 2013 International Conference on Neural Information Processing.Berlin,Germany:Springer,2013:117-124. [18] LUCEY P,COHN J F,KANADE T,et al.The extended Cohn-Kanade dataset:a complete dataset for action unit and emotion-specified expression[C]//Proceedings of 2010 International Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2010:2510-2518. [19] Kaggle.Fer 2013 dataset[EB/OL].[2019-10-17].http://web.archive.org/web/20080207010024/. [20] CHANG Tianyuan,WEN Guihua,HU Yang,et al.Facial expression recognition based on complexity perception classification algorithm[EB/OL].[2019-10-17].https://www.researchgate.net/publication/323510047_Facial_Expression_Recognition_Based_on_Complexity_Perception_Classification_Algorithm. [21] LI Yucheng,LIU Kun.PCA and SVM face recognition method based on face segmentation[J].Microcomputer and Its Applications,2016,35(15):51-53,56.(in Chinese)李宇成,刘昆.一种基于人脸分割的PCA和SVM人脸识别方法[J].微型机与应用,2016,35(15):51-53,56. [22] WANG Xuejiao,ZHI Min.Human motion recognition based on deformable convolutional neural network[J].Computer Engineering and Science,2021,49(1):105-111.(in Chinese)王雪娇,智敏.基于可变形卷积神经网络的人体动作识别[J].计算机工程与科学,2021,49(1):105-111. [23] XIE Siyue,HU Haifeng.Facial expression recognition with FRR-CNN[J].Electronics Letters,2017,53(4):235-237. [24] MA Zhongqi,ZHU Haosheng,YANG Haishi,et al.Face expression recognition based on multi-feature fusion dense residual CNN[J].Computer Applications and Software,2019,36(7):197-201.(in Chinese)马中启,朱好生,杨海仕,等.基于多特征融合密集残差CNN的人脸表情识别[J].计算机应用与软件,2019,36(7):197-201. |