基于LBP和PCA的表情识别
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摘要
人脸表情识别作为人工智能领域的研究热点,在医疗、交通、心理研究等领域具有广泛的应用前景。本文在研究人脸表情识别算法的基础上,针对传统的PCA算法受光照、姿态等影响较大的问题,引入LBP算法,通过LBP+PCA算法相结合,减少了光照、姿态的影响。在JAFFE数据库的基础上进行实验,证明了该算法优于传统的PCA算法。
As a research hotspot in the field of artificial intelligence, facial expression recognition has broad application prospects in the fields of medical, transportation and psychological research. On the basis of studying the facial expression recognition algorithm, this paper introduces the LBP algorithm and combines the LBP+PCA algorithm to reduce the influence of illumination and attitude on the problem that the traditional PCA algorithm is greatly affected by illumination and attitude. Experiments based on the JAFFE database prove that the algorithm is superior to the traditional PCA algorithm.
As a research hotspot in the field of artificial intelligence, facial expression recognition has broad application prospects in the fields of medical, transportation and psychological research. On the basis of studying the facial expression recognition algorithm, this paper introduces the LBP algorithm and combines the LBP+PCA algorithm to reduce the influence of illumination and attitude on the problem that the traditional PCA algorithm is greatly affected by illumination and attitude. Experiments based on the JAFFE database prove that the algorithm is superior to the traditional PCA algorithm.
引文
[1]MEHRABIAN,J A R.An approach to environmental psychology[M].The MIT Press,1974.
[2]EKMAN P,FRIESEN W.Constants across cultures in the face and emotion[J].Journal of personality and social psychology,1971,17(2):124-129.
[3]施兴华.自动人脸表情识别[D].西安电子科技大学,2009.SHI Xing-hua.Automatic facial expression recognition[D].Xidian University of Electronic Technology,2009.
[4]赵艳.基于深度学习的表情识别研究[D].重庆邮电大学,2016.ZHAO Yan.Research on expression recognition based on deep learning[D].Chongqing University of Posts and Telecommunications,2016.
[5]陆慧聪.面部表情识别系统中表情特征提取与识别算法的研究[D].东南大学,2006.LU Hui-cong.Research on expression feature extraction and recognition algorithm in facial expression recognition system[D].Southeast University,2006.
[6]肖彬,李泽滔,杨昱翔.基于计算机视觉的人脸识别算法的研究[J].新型工业化,2018,8(12):61-66.XIAO Bin,LI Ze-tao,YANG Yu-xiang.Research on Face Recognition Algorithm Based on Computer Vision[J].The Journal of New Industrialization,2018,8(12):61-66.
[7]何瑶,陈湘萍.基于Open CV的人脸检测系统设计[J].新型工业化,2018,8(6):83-89.HE Yao,CHENG Xiang-ping.Face detection system design based on Open CV[J].The Journal of New Industrialization,2018,8(6):83-89.
[8]YE J,LI Q.A two-stage linear discriminant analysis via QR-decomposition[J].Pattern Analysis and Machine Intelligence,2005,27(6):929-941.
[9]HILL,JONATHAN B.Stochastically weighted average conditional moment tests of functional form[J].Studies in Nonlinear Dynamics and Econometrics,2013,17(2):121-139.
[10]刘康玲.基于自适应PCA和时序逻辑的动态系统故障诊断研究[D].浙江大学,2017.LIU Kang-ling.Dynamic system fault diagnosis based on adaptive PCA and sequential logic[D].Zhejiang University,2017.
[11]赵春伟.基于PCA与LDA的表情识别算法研究[D].西安电子科技大学,2014.ZHAO Chun-wei.Research on Expression Recognition Algorithm Based on PCA and LDA[D].Xidian University of Electronic Technology,2014.
[12]陆华.基于局部二值模式的人脸识别和表情识别研究[D].山东大学,2014.LU Hua.Face Recognition and Expression Recognition Based on Local Binary Pattern[D].Shan Dong University,2014.
[13]吴晋椿.基于LBP和LPQ的人脸表情识别[D].杭州电子科技大学,2017.WU Jin-chun.Facial expression recognition based on LBP and LPQ[D].Hangzhou University of Electronic Science and Technology,2017.
[14]WANG X,TANG X.Random sampling for subspace face recognition[J].International Journal of Computer Vision,2006,70(1):94-104.
[15]ANDERSONE,ILZE.Map Merging in the Context of Image Processing[J].Scientific Journal of Riga Technical University.Computer Sciences,2011,44(1):124-130.
[16]李扬,郭海礁.基于LBP和SVM决策树的人脸表情识别[J].现代计算机,2014(6):40-44.LI Yang,GUO Hai-qiao.Facial expression recognition based on LBP and SVM decision tree[J].Modern computer,2014(6):40-44.
[2]EKMAN P,FRIESEN W.Constants across cultures in the face and emotion[J].Journal of personality and social psychology,1971,17(2):124-129.
[3]施兴华.自动人脸表情识别[D].西安电子科技大学,2009.SHI Xing-hua.Automatic facial expression recognition[D].Xidian University of Electronic Technology,2009.
[4]赵艳.基于深度学习的表情识别研究[D].重庆邮电大学,2016.ZHAO Yan.Research on expression recognition based on deep learning[D].Chongqing University of Posts and Telecommunications,2016.
[5]陆慧聪.面部表情识别系统中表情特征提取与识别算法的研究[D].东南大学,2006.LU Hui-cong.Research on expression feature extraction and recognition algorithm in facial expression recognition system[D].Southeast University,2006.
[6]肖彬,李泽滔,杨昱翔.基于计算机视觉的人脸识别算法的研究[J].新型工业化,2018,8(12):61-66.XIAO Bin,LI Ze-tao,YANG Yu-xiang.Research on Face Recognition Algorithm Based on Computer Vision[J].The Journal of New Industrialization,2018,8(12):61-66.
[7]何瑶,陈湘萍.基于Open CV的人脸检测系统设计[J].新型工业化,2018,8(6):83-89.HE Yao,CHENG Xiang-ping.Face detection system design based on Open CV[J].The Journal of New Industrialization,2018,8(6):83-89.
[8]YE J,LI Q.A two-stage linear discriminant analysis via QR-decomposition[J].Pattern Analysis and Machine Intelligence,2005,27(6):929-941.
[9]HILL,JONATHAN B.Stochastically weighted average conditional moment tests of functional form[J].Studies in Nonlinear Dynamics and Econometrics,2013,17(2):121-139.
[10]刘康玲.基于自适应PCA和时序逻辑的动态系统故障诊断研究[D].浙江大学,2017.LIU Kang-ling.Dynamic system fault diagnosis based on adaptive PCA and sequential logic[D].Zhejiang University,2017.
[11]赵春伟.基于PCA与LDA的表情识别算法研究[D].西安电子科技大学,2014.ZHAO Chun-wei.Research on Expression Recognition Algorithm Based on PCA and LDA[D].Xidian University of Electronic Technology,2014.
[12]陆华.基于局部二值模式的人脸识别和表情识别研究[D].山东大学,2014.LU Hua.Face Recognition and Expression Recognition Based on Local Binary Pattern[D].Shan Dong University,2014.
[13]吴晋椿.基于LBP和LPQ的人脸表情识别[D].杭州电子科技大学,2017.WU Jin-chun.Facial expression recognition based on LBP and LPQ[D].Hangzhou University of Electronic Science and Technology,2017.
[14]WANG X,TANG X.Random sampling for subspace face recognition[J].International Journal of Computer Vision,2006,70(1):94-104.
[15]ANDERSONE,ILZE.Map Merging in the Context of Image Processing[J].Scientific Journal of Riga Technical University.Computer Sciences,2011,44(1):124-130.
[16]李扬,郭海礁.基于LBP和SVM决策树的人脸表情识别[J].现代计算机,2014(6):40-44.LI Yang,GUO Hai-qiao.Facial expression recognition based on LBP and SVM decision tree[J].Modern computer,2014(6):40-44.