计算机科学 ›› 2020, Vol. 47 ›› Issue (6A): 250-253.doi: 10.11896/JsJkx.190700081
肖潇, 孔凡芝
XIAO Xiao and KONG Fan-zhi
摘要： 对三角形坐标系作了推广,给出了广义三角坐标,使之使用于人脸表情特征表示,结合高斯核SVM分类器,采用留一主体交叉验证技术。针对CK+人脸表情数据库,得到了人脸表情正确识别率为98.2%,相比于其基准算法和M-CRT算法,正确率有较大提高。这表明所提出的人脸表情特征表示方法的有效性。
中图分类号:
| [1] THIES J,ZOLLHFER M,NIEβNER M,et al.Real-time expression transfer forfacial reenactment.ACM Transactions on Graphics (TOG),2015,34(6). [2] SARIYANIDI E,GUNES H,CAVALLARO A.Automatic Analysis of Facial Affect:A Survey ofRegistration,Representation,and Recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence,2015,37(6):1113-1133. [3] PRAMERDORFER C.KAMPEL M.Facial Expression Recognition using Convolutional Neural Networks:State of the Art.arXiv:1612.02903. [4] LI S,DENG W.Deep Facial Expression Recognition:A Survey.arXiv:1804.08348,2018. [5] OJALA T,PIETIKINEN M,HARWOOD D.A Comparative Study of Texture Measures with Classification Based on Feature Distributions.Pattern Recognition,1996,29:51-59. [6] SHAN C,GONG S,MCOWAN P W.Facial expression recognition based on local binary patterns:A comprehensive study,Image Vis.Comput.,2009,27(6):803-816. [7] DU L,HU H.Modified classification and regression tree for facial expression recognition with using difference expression images.Electronics Letters,2017,53(9):590-592,274. [8] EKMAN P,FRIESEN P.Facial action coding system:a tech-nique for the measurement of facial movement.Palo Alto:Consulting Psychologists Press,1978. [9] ELEFTHERIADIS S,et al.Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units//AsianConference on Computer Vision Springer.Cham,2016. [10] JENI L A,GIRARD J,COHN J,et al.Continuous A Uintensity estimation using localized,sparse facial feature space//Proc.IEEE Int.Conf.Autom.Face and Gesture Recognit.Workshops,2013:1-7. [11] ZHONG L,LIU Q,YANG P,et al.Learning active facial patches for expression analysis//Proc.IEEE Conf.Comput.Vis.Pattern Recognit..2012:2562-2569. [12] LONG F,WU T,MOVELLAN J R,et al.Learning spatiotemporal features by using independent component analysis with application to facial expression recognition.Neurocomputing,2012,93:126-132. [13] ZHI R,FLIERL M,RUAN Q,et al.Graph-preserving sparse nonnegative matrix factorization with application to facialexpression recognition.IEEE Trans.Systems,Man,Cybern.B,Cybern.,2011,41(1):38-52. [14] KRIZHEVSKY A,et al.Imagenet classification with deep convolutional neural networks//Advances in Neural Information Processing Systems.2012. [15] HASANI B,MAHOOR M H.Spatio-Temporal Facial Expression Recognition Using Convolutional Neural Networks and Conditional Random Fields//Proceedings 12th IEEE International Conference on Automatic Face and Gesture Recognition.FG 2017. [16] RIFAI S,BENGIO Y,COURVILLE A,et al.Disentangling factors of variation for facial expression recognition//European Conference on Computer Vision.2012:808-822. [17] LI H B,SUN J,XU Z B,et al.Multimodal 2D+3D Facial Expression Recognition with Deep Fusion Convolutional Neural Network.IEEE Transactions on Multimedia,2017,19(12):2816-2831. [18] USMAN M,et al.Using Deep Autoencoders for Facial Expression Recognition.arXiv:1801.08329,2018. [19] KAZEMI V,JOSEPHINE S.One millisecond face alignment withan ensemble of regression trees//Proc.IEEE Conf.Comput.Vis.Pattern Recog..2014:1867-1874. [20] 王守觉,梁先扬.图像变形计算方法及其应用.计算机辅助设计与图形学学报,2011,23(8):1304-1310. [21] CHANG C C,LIN C J.LIBSVM:a library for supportvector machines.ACM Transactions on Intelligent Systems and Technology,2011,2:27:1-27:27. [22] 王守觉,张晓盟,肖泉,等.基于四面体坐标系的三维变形方法及应用.计算机辅助设计与图形学学报,2015,27(3):469-477. [23] LUCEY P,COHN J,KANADE T,et al.The extended Cohn-Kanade dataset (CK+):A completedataset for action unit and emotion-specified expression//Proc.IEEE Conf.Comput.Vis.Pattern Recognit.Workshops,2010:94-101. |
| [1] | 韩洁, 陈俊芬, 李艳, 湛泽聪. 基于自注意力的自监督深度聚类算法 Self-supervised Deep Clustering Algorithm Based on Self-attention 计算机科学, 2022, 49(3): 134-143. https://doi.org/10.11896/jsjkx.210100001 |
| [2] | 柴冰, 李冬冬, 王喆, 高大启. 融合频率和通道卷积注意的脑电(EEG)情感识别 EEG Emotion Recognition Based on Frequency and Channel Convolutional Attention 计算机科学, 2021, 48(12): 312-318. https://doi.org/10.11896/jsjkx.201000141 |
| [3] | 龚扣林, 周宇, 丁笠, 王永超. 基于BiLSTM模型的漏洞检测 Vulnerability Detection Using Bidirectional Long Short-term Memory Networks 计算机科学, 2020, 47(5): 295-300. https://doi.org/10.11896/jsjkx.190800046 |
| [4] | 陈俊芬,张明,赵佳成. 复杂高维数据的密度峰值快速搜索聚类算法 Clustering Algorithm by Fast Search and Find of Density Peaks for Complex High-dimensional Data 计算机科学, 2020, 47(3): 79-86. https://doi.org/10.11896/jsjkx.190400123 |
| [5] | 刘剑, 金泽群. 基于深度学习的人脸表情迁移方法 Facial Expression Transfer Method Based on Deep Learning 计算机科学, 2019, 46(6A): 250-253. |
| [6] | 袁丁,王茜,邓李维. 聚类辅助特征对齐的域适应方法 Clustering Assist Feature Alignment for Unsupervised Domain Adaptation 计算机科学, 2019, 46(3): 221-226. https://doi.org/10.11896/j.issn.1002-137X.2019.03.033 |
| [7] | 蒋斌,甘勇,张焕龙,张秋闻. 非正面人脸表情识别方法综述 Survey on Non-frontal Facial Expression Recognition Methods 计算机科学, 2019, 46(3): 53-62. https://doi.org/10.11896/j.issn.1002-137X.2019.03.007 |
| [8] | 黄建,李文书,高玉娟. 人脸表情识别研究进展 Research Advance of Facial Expression Recognition 计算机科学, 2016, 43(Z11): 123-126. https://doi.org/10.11896/j.issn.1002-137X.2016.11A.026 |
| [9] | 卢照敢,许春梅,孙楠,苗许娜. 采用改进高斯核的MLS-SVM人脸表情识别算法 Improved Face Emotion Identification Algorithm by MLS-SVM with Modified Gauss Kernel Function 计算机科学, 2014, 41(Z6): 132-134. |
| [10] | 王金伟,马希荣,孙济洲. 基于无监督提取表情时空特征的情感识别 Emotion Recognition Based on Unsupervised Extraction of Facial Expression Spatio-temporal Features 计算机科学, 2014, 41(5): 266-269. https://doi.org/10.11896/j.issn.1002-137X.2014.05.056 |
| [11] | 杜杏菁，白廷柱. 人脸识别中表情弱化处理研究 Study of Weaken Expression in Face Recognition 计算机科学, 2012, 39(8): 281-283. |
| [12] | 蒋斌,贾克斌,杨国胜. 人脸表情识别的研究进展 Research Advance of Facial Expression Recognition 计算机科学, 2011, 38(4): 25-31. |
| [13] | 马希荣 刘琳 桑婧. 基于情感计算的e—Learning系统建模 计算机科学, 2005, 32(8): 131-133. |
|
||
首页