메뉴 건너뛰기




Volumn , Issue , 2014, Pages 1805-1812

Facial expression recognition via a boosted deep belief network

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DEEP LEARNING; ITERATIVE METHODS;

EID: 84911384987     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.233     Document Type: Conference Paper
Times cited : (658)

References (36)
  • 1
    • 24644474838 scopus 로고    scopus 로고
    • Recognizing facial expression: Machine learning and application to spontaneous behavior
    • M. S. Bartlett, G. Littlewort, M. G. Frank, C. Lainscsek, I. Fasel, and J. R. Movellan. Recognizing facial expression: Machine learning and application to spontaneous behavior. In CVPR, volume 2, pages 568-573, 2005.
    • (2005) CVPR , vol.2 , pp. 568-573
    • Bartlett, M.S.1    Littlewort, G.2    Frank, M.G.3    Lainscsek, C.4    Fasel, I.5    Movellan, J.R.6
  • 2
    • 17644371717 scopus 로고    scopus 로고
    • A new sparse image representation algorithm applied to facial expression recognition
    • I. Bociu and I. Pitas. A new sparse image representation algorithm applied to facial expression recognition. In MLSP, pages 539-548, 2004.
    • (2004) MLSP , pp. 539-548
    • Bociu, I.1    Pitas, I.2
  • 3
    • 84885793504 scopus 로고
    • A computerized analysis of facial expression: Feasibility of automated discrimination
    • J. F. Cohn and A. Zlochower. A computerized analysis of facial expression: Feasibility of automated discrimination. American Psychological Society, 1995.
    • (1995) American Psychological Society
    • Cohn, J.F.1    Zlochower, A.2
  • 4
    • 79958759929 scopus 로고    scopus 로고
    • Emotion recognition using dynamic grid-based HoG features
    • March
    • M. Dahmane and J. Meunier. Emotion recognition using dynamic grid-based HoG features. In FG, March 2011.
    • (2011) FG
    • Dahmane, M.1    Meunier, J.2
  • 6
    • 79958737530 scopus 로고    scopus 로고
    • Action unit recognition with sparse representation
    • IEEE
    • M. M. Hu, Z. Mu, V. K. Lu, M. S. Mohammad, and C. J. F. Facial action unit recognition with sparse representation. In FG, pages 336-342. IEEE, 2011.
    • (2011) FG , pp. 336-342
    • Hu, M.M.1    Mu, Z.2    Lu, V.K.3    Mohammad, M.S.4    Facial, C.J.F.5
  • 7
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • G. Hinton, S. Osindero, and Y. Teh. A fast learning algorithm for deep belief nets. Neural Computation, 18:1527-1554, 2006.
    • (2006) Neural Computation , vol.18 , pp. 1527-1554
    • Hinton, G.1    Osindero, S.2    Teh, Y.3
  • 8
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • G. Hinton and R. Salakhutdinov. Reducing the dimensionality of data with neural networks. Science, 313(5786):504-507, 2006.
    • (2006) Science , vol.313 , Issue.5786 , pp. 504-507
    • Hinton, G.1    Salakhutdinov, R.2
  • 9
    • 67650652464 scopus 로고    scopus 로고
    • Multiview facial expression recognition
    • Y. Hu, Z. Zeng, L. Yin, X. Wei, X. Zhou, and T. S. Huang. Multiview facial expression recognition. In FG, pages 1-6, 2008.
    • (2008) FG , pp. 1-6
    • Hu, Y.1    Zeng, Z.2    Yin, L.3    Wei, X.4    Zhou, X.5    Huang, T.S.6
  • 10
    • 84856647882 scopus 로고    scopus 로고
    • Facial expression recognition with temporal modeling of shapes
    • S. Jain, C. Hu, and J. K. Aggarwal. Facial expression recognition with temporal modeling of shapes. In ICCV Workshops, pages 1642-1649, 2011.
    • (2011) ICCV Workshops , pp. 1642-1649
    • Jain, S.1    Hu, C.2    Aggarwal, J.K.3
  • 11
    • 84905395782 scopus 로고    scopus 로고
    • Comprehensive database for facial expression analysis
    • T. Kanade, J. F. Cohn, and Y. Tian. Comprehensive database for facial expression analysis. In FG, pages 46-53, 2000.
    • (2000) FG , pp. 46-53
    • Kanade, T.1    Cohn, J.F.2    Tian, Y.3
  • 12
    • 70450221522 scopus 로고    scopus 로고
    • Salient feature and reliable classifier selection for facial expression classification
    • M. Kyperountas, A. Tefas, and I. Pitas. Salient feature and reliable classifier selection for facial expression classification. Pattern Recognition, 43(3):972-986, 2010.
    • (2010) Pattern Recognition , vol.43 , Issue.3 , pp. 972-986
    • Kyperountas, M.1    Tefas, A.2    Pitas, I.3
  • 13
    • 84884918508 scopus 로고    scopus 로고
    • Emotional expression classification using time-series kernels
    • IEEE
    • A. Lorincz, L. A. Jeni, Z. Szabó, J. F. Cohn, and T. Kanade. Emotional expression classification using time-series kernels. In CVPR Workshops, pages 889-895. IEEE, 2013.
    • (2013) CVPR Workshops , pp. 889-895
    • Lorincz, A.1    Jeni, L.A.2    Szabó, Z.3    Cohn, J.F.4    Kanade, T.5
  • 14
    • 25844493299 scopus 로고    scopus 로고
    • A facial expression recognition system based on supervised locally linear embedding
    • D. Liang, J. Yang, Z. Zheng, and Y. Chang. A facial expression recognition system based on supervised locally linear embedding. Pattern Recognition Letters, 26(15):2374-2389, 2005.
    • (2005) Pattern Recognition Letters , vol.26 , Issue.15 , pp. 2374-2389
    • Liang, D.1    Yang, J.2    Zheng, Z.3    Chang, Y.4
  • 15
    • 84863125366 scopus 로고    scopus 로고
    • Sparse coding for flexible, robust 3d facial-expression synthesis
    • Y. Lin, M. Song, D. Quynh, Y. He, and C. Chen. Sparse coding for flexible, robust 3d facial-expression synthesis. Computer Graphics and Applications, 32(2):76-88, 2012.
    • (2012) Computer Graphics and Applications , vol.32 , Issue.2 , pp. 76-88
    • Lin, Y.1    Song, M.2    Quynh, D.3    He, Y.4    Chen, C.5
  • 16
    • 84874564720 scopus 로고    scopus 로고
    • Facial expression recognition based on discriminative dictionary learning
    • W. Liu, C. Song, and Y. Wang. Facial expression recognition based on discriminative dictionary learning. In ICPR, 2012.
    • (2012) ICPR
    • Liu, W.1    Song, C.2    Wang, Y.3
  • 17
    • 77956509035 scopus 로고    scopus 로고
    • The extended cohn-kanade dataset (ck+): A complete expression dataset for action unit and emotion-specified expression
    • P. Lucey, J. F. Cohn, T. Kanade, J. Saragih, Z. Ambadar, and I. Matthews. The extended cohn-kanade dataset (ck+): A complete expression dataset for action unit and emotion-specified expression. In CVPR Workshops, pages 94-101, 2010.
    • (2010) CVPR Workshops , pp. 94-101
    • Lucey, P.1    Cohn, J.F.2    Kanade, T.3    Saragih, J.4    Ambadar, Z.5    Matthews, I.6
  • 18
    • 0033352182 scopus 로고    scopus 로고
    • Automatic classification of single facial images
    • M. J. Lyons, J. Budynek, and S. Akamatsu. Automatic classification of single facial images. IEEE T-PAMI, 21(12):1357-1362, 1999.
    • (1999) IEEE T-PAMI , vol.21 , Issue.12 , pp. 1357-1362
    • Lyons, M.J.1    Budynek, J.2    Akamatsu, S.3
  • 19
    • 38149051026 scopus 로고    scopus 로고
    • Human computing and machine understanding of human behavior: A survey
    • T. S. Huang, A. Nijholt, M. Pantic, and A. Pentland, editors
    • M. Pantic, A. Pentland, A. Nijholt, and T. S. Huang. Human computing and machine understanding of human behavior: A survey. In T. S. Huang, A. Nijholt, M. Pantic, and A. Pentland, editors, Artificial Intelligence for Human Computing, LNAI. 2007.
    • (2007) Artificial Intelligence for Human Computing, LNAI.
    • Pantic, M.1    Pentland, A.2    Nijholt, A.3    Huang, T.S.4
  • 20
    • 80052877144 scopus 로고    scopus 로고
    • On deep generative models with applications to recognition
    • IEEE
    • M. Ranzato, J. Susskind, V. Mnih, and G. Hinton. On deep generative models with applications to recognition. In CVPR, pages 2857-2864. IEEE, 2011.
    • (2011) CVPR , pp. 2857-2864
    • Ranzato, M.1    Susskind, J.2    Mnih, V.3    Hinton, G.4
  • 21
    • 84867843700 scopus 로고    scopus 로고
    • Disentangling factors of variation for facial expression recognition
    • Springer
    • S. Rifai, Y. Bengio, A. Courville, P. Vincent, and M. Mirza. Disentangling factors of variation for facial expression recognition. In ECCV, pages 808-822. Springer, 2012.
    • (2012) ECCV , pp. 808-822
    • Rifai, S.1    Bengio, Y.2    Courville, A.3    Vincent, P.4    Mirza, M.5
  • 22
    • 79958762765 scopus 로고    scopus 로고
    • Combining AAM coefficients with LGBP histograms in the multi-kernel SVM framework to detect facial action units
    • T. Senechal, V. Rapp, H. Salam, R. Seguier, K. Bailly, and L. Prevost. Combining AAM coefficients with LGBP histograms in the multi-kernel SVM framework to detect facial action units. In FG Workshops, pages 860-865, 2011.
    • (2011) FG Workshops , pp. 860-865
    • Senechal, T.1    Rapp, V.2    Salam, H.3    Seguier, R.4    Bailly, K.5    Prevost, L.6
  • 23
    • 63449136395 scopus 로고    scopus 로고
    • Facial expression recognition based on local binary patterns: A comprehensive study
    • C. Shan, S. Gong, and P. McOwan. Facial expression recognition based on Local Binary Patterns: A comprehensive study. J. IVC, 27(6):803-816, 2009.
    • (2009) J. IVC , vol.27 , Issue.6 , pp. 803-816
    • Shan, C.1    Gong, S.2    McOwan, P.3
  • 25
    • 77953211304 scopus 로고    scopus 로고
    • Evaluation of Gabor-wavelet-based facial action unit recognition in image sequences of increasing complexity
    • May
    • Y. Tian, T. Kanade, and J. F. Cohn. Evaluation of Gabor-wavelet-based facial action unit recognition in image sequences of increasing complexity. In FG, pages 229-234, May 2002.
    • (2002) FG , pp. 229-234
    • Tian, Y.1    Kanade, T.2    Cohn, J.F.3
  • 26
    • 84864118983 scopus 로고    scopus 로고
    • Meta-analyis of the first facial expression recognition challenge
    • M. F. Valstar, M. Mehu, B. Jiang, M. Pantic, and K. Scherer. Meta-analyis of the first facial expression recognition challenge. IEEE T-SMC-B, 42(4):966-979, 2012.
    • (2012) IEEE T-SMC-B , vol.42 , Issue.4 , pp. 966-979
    • Valstar, M.F.1    Mehu, M.2    Jiang, B.3    Pantic, M.4    Scherer, K.5
  • 28
    • 34948892100 scopus 로고    scopus 로고
    • Boosting coded dynamic features for facial action units and facial expression recognition
    • June
    • P. Yang, Q. Liu, and D. N. Metaxas. Boosting coded dynamic features for facial action units and facial expression recognition. In CVPR, pages 1-6, June 2007.
    • (2007) CVPR , pp. 1-6
    • Yang, P.1    Liu, Q.2    Metaxas, D.N.3
  • 30
    • 77949767628 scopus 로고    scopus 로고
    • Nonlinear non-negative component analysis algorithms
    • S. Zafeiriou and M. Petrou. Nonlinear non-negative component analysis algorithms. IEEE T-IP, 19(4):1050-1066, 2010.
    • (2010) IEEE T-IP , vol.19 , Issue.4 , pp. 1050-1066
    • Zafeiriou, S.1    Petrou, M.2
  • 31
    • 57149144228 scopus 로고    scopus 로고
    • A survey of affect recognition methods: Audio, visual, and spontaneous expressions
    • Jan.
    • Z. Zeng, M. Pantic, G. I. Roisman, and T. S. Huang. A survey of affect recognition methods: Audio, visual, and spontaneous expressions. IEEE T-PAMI, 31(1):39-58, Jan. 2009.
    • (2009) IEEE T-PAMI , vol.31 , Issue.1 , pp. 39-58
    • Zeng, Z.1    Pantic, M.2    Roisman, G.I.3    Huang, T.S.4
  • 32
    • 18144418947 scopus 로고    scopus 로고
    • Active and dynamic information fusion for facial expression understanding from image sequences
    • May
    • Y. Zhang and Q. Ji. Active and dynamic information fusion for facial expression understanding from image sequences. IEEE T-PAMI, 27(5):699-714, May 2005.
    • (2005) IEEE T-PAMI , vol.27 , Issue.5 , pp. 699-714
    • Zhang, Y.1    Ji, Q.2
  • 33
    • 70350635049 scopus 로고    scopus 로고
    • Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron
    • Z. Zhang, M. Lyons, M. Schuster, and S. Akamatsu. Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron. In FG, pages 454-459, 1998.
    • (1998) FG , pp. 454-459
    • Zhang, Z.1    Lyons, M.2    Schuster, M.3    Akamatsu, S.4
  • 34
    • 34247557079 scopus 로고    scopus 로고
    • Dynamic texture recognition using local binary patterns with an application to facial expressions
    • June
    • G. Zhao and M. Pietiäinen. Dynamic texture recognition using local binary patterns with an application to facial expressions. IEEE T-PAMI, 29(6):915-928, June 2007.
    • (2007) IEEE T-PAMI , vol.29 , Issue.6 , pp. 915-928
    • Zhao, G.1    Pietiäinen, M.2
  • 35
    • 79959420835 scopus 로고    scopus 로고
    • Graph-preserving sparse nonnegative matrix factorization with application to facial expression recognition
    • R. Zhi, M. Flierl, Q. Ruan, and W. Kleijn. Graph-preserving sparse nonnegative matrix factorization with application to facial expression recognition. IEEE T-SMC-B, (99):1-15, 2010.
    • (2010) IEEE T-SMC-B , vol.99 , pp. 1-15
    • Zhi, R.1    Flierl, M.2    Ruan, Q.3    Kleijn, W.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.