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Volumn 24, Issue 1, 2015, Pages 189-204

Discriminative shared gaussian processes for multiview and view-invariant facial expression recognition

Author keywords

acial expression recognition; Gaussian Processes; multi view learning; view invariant

Indexed keywords

ANATOMY AND HISTOLOGY; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; FACE; FACIAL EXPRESSION; HUMAN; IMAGE PROCESSING; NORMAL DISTRIBUTION; PROCEDURES;

EID: 84919898241     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2014.2375634     Document Type: Article
Times cited : (214)

References (53)
  • 1
    • 61549133072 scopus 로고    scopus 로고
    • Human-centred intelligent humancomputer interaction (hci2): How far are we from attaining it?
    • M. Pantic, A. Nijholt, A. Pentland, and T. S. Huanag, "Human-centred intelligent humanComputer interaction (HCI2): How far are we from attaining it?" Int. J. Auto. Adapt. Commun. Syst., vol. 1, no. 2, pp. 168-187, 2008.
    • (2008) Int. J. Auto. Adapt. Commun. Syst , vol.1 , Issue.2 , pp. 168-187
    • Pantic, M.1    Nijholt, A.2    Pentland, A.3    Huanag, T.S.4
  • 2
    • 61549132763 scopus 로고    scopus 로고
    • Social signal processing: Survey of an emerging domain
    • Nov
    • A. Vinciarelli, M. Pantic, and H. Bourlard, "Social signal processing: Survey of an emerging domain," Image Vis. Comput., vol. 27, no. 12, pp. 1743-1759, Nov. 2009.
    • (2009) Image Vis. Comput , vol.27 , Issue.12 , pp. 1743-1759
    • Vinciarelli, A.1    Pantic, M.2    Bourlard, H.3
  • 3
    • 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 Trans. Pattern Anal. Mach. Intell., vol. 31, no. 1, pp. 39-58, Jan. 2009.
    • (2009) IEEE Trans. Pattern Anal. Mach. Intell , vol.31 , Issue.1 , pp. 39-58
    • Zeng, Z.1    Pantic, M.2    Roisman, G.I.3    Huang, T.S.4
  • 4
    • 33845578797 scopus 로고    scopus 로고
    • Robust real-time face pose and facial expression recovery
    • Jun
    • Z. Zhu and Q. Ji, "Robust real-time face pose and facial expression recovery," in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recognit., vol. 1. Jun. 2006, pp. 681-688.
    • (2006) Proc. IEEE Int. Conf. Comput. Vis. Pattern Recognit , vol.1 , pp. 681-688
    • Zhu, Z.1    Ji, Q.2
  • 6
    • 79851512378 scopus 로고    scopus 로고
    • Local binary patterns for multi-view facial expression recognitio
    • Apr
    • S. Moore and R. Bowden, "Local binary patterns for multi-view facial expression recognitio," Comput. Vis. Image Understand., vol. 115, no. 4, pp. 541-558, Apr. 2011.
    • (2011) Comput. Vis. Image Understand , vol.115 , Issue.4 , pp. 541-558
    • Moore, S.1    Bowden, R.2
  • 8
    • 84874561409 scopus 로고    scopus 로고
    • Multi-view facial expression recognition using local appearance features
    • Nov
    • N. Hesse, T. Gehrig, H. Gao, and H. K. Ekenel, "Multi-view facial expression recognition using local appearance features," in Proc. 21st Int. Conf. Pattern Recognit., Nov. 2012, pp. 3533-3536.
    • Proc. 21st Int. Conf. Pattern Recognit , vol.2012 , pp. 3533-3536
    • Hesse, N.1    Gehrig, T.2    Gao, H.3    Ekenel, H.K.4
  • 9
    • 84879129471 scopus 로고    scopus 로고
    • Coupled gaussian processes for pose-invariant facial expression recognition
    • Jun
    • O. Rudovic, M. Pantic, and I. Patras, "Coupled Gaussian processes for pose-invariant facial expression recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 6, pp. 1357-1369, Jun. 2013.
    • (2013) IEEE Trans. Pattern Anal. Mach. Intell , vol.35 , Issue.6 , pp. 1357-1369
    • Rudovic, O.1    Pantic, M.2    Patras, I.3
  • 10
  • 12
    • 84867733072 scopus 로고    scopus 로고
    • Multi-view facial expression recognition analysis with generic sparse coding feature
    • Oct
    • U. Tariq, J. Yang, and T. S. Huang, "Multi-view facial expression recognition analysis with generic sparse coding feature," in Proc. Eur. Conf. Comput. Vis. (ECCV), Oct. 2012, pp. 578-588.
    • (2012) Proc. Eur. Conf. Comput. Vis. (ECCV) , pp. 578-588
    • Tariq, U.1    Yang, J.2    Huang, T.S.3
  • 15
    • 77950404059 scopus 로고    scopus 로고
    • Learning shared latent structure for image synthesis and robotic imitation
    • A. P. Shon, K. Grochow, A. Hertzmann, and R. P. N. Rao, "Learning shared latent structure for image synthesis and robotic imitation," in Proc. Adv. Neural Inf. Process. Syst., vol. 18. 2006, pp. 1233-1240.
    • (2006) Proc. Adv. Neural Inf. Process. Syst , vol.18 , pp. 1233-1240
    • Shon, A.P.1    Grochow, K.2    Hertzmann, A.3    Rao, R.P.N.4
  • 17
    • 34548028749 scopus 로고    scopus 로고
    • Discriminative gaussian process latent variable model for classification
    • Jun
    • R. Urtasun and T. Darrell, "Discriminative Gaussian process latent variable model for classification," in Proc. 24th Int. Conf. Mach. Learn., Jun. 2007, pp. 927-934.
    • (2007) Proc. 24th Int. Conf. Mach. Learn , pp. 927-934
    • Urtasun, R.1    Darrell, T.2
  • 19
    • 84888240571 scopus 로고    scopus 로고
    • Shared gaussian process latent variable model for multi-view facial expression recognition
    • Jul
    • S. Eleftheriadis, O. Rudovic, and M. Pantic, "Shared Gaussian process latent variable model for multi-view facial expression recognition," in Proc. ISVC, Jul. 2013, pp. 527-538.
    • Proc. ISVC , vol.2013 , pp. 527-538
    • Eleftheriadis, S.1    Rudovic, O.2    Pantic, M.3
  • 20
    • 0036647193 scopus 로고    scopus 로고
    • Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
    • Jul
    • T. Ojala, M. Pietikainen, and T. Maenpaa, "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 7, pp. 971-987, Jul. 2002.
    • (2002) IEEE Trans. Pattern Anal. Mach. Intell , vol.24 , Issue.7 , pp. 971-987
    • Ojala, T.1    Pietikainen, M.2    Maenpaa, T.3
  • 21
    • 34249753618 scopus 로고
    • Support-vector networks
    • Sep
    • C. Cortes and V. Vapnik, "Support-vector networks," Mach. Learn., vol. 20, no. 3, pp. 273-297, Sep. 1995.
    • (1995) Mach. Learn , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 22
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • Nov
    • D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, Nov. 2004.
    • (2004) Int. J. Comput. Vis , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 23
  • 25
    • 84902748454 scopus 로고
    • Discrete cosine transform
    • Jan
    • N. Ahmed, T. Natarajan, and K. R. Rao, "Discrete cosine transform," IEEE Trans. Comput., vol. C-23, no. 1, pp. 90-93, Jan. 1974.
    • (1974) IEEE Trans. Comput , vol.C-23 , Issue.1 , pp. 90-93
    • Ahmed, N.1    Natarajan, T.2    Rao, K.R.3
  • 26
    • 0033284915 scopus 로고    scopus 로고
    • Object recognition from local scale-invariant features
    • Sep
    • D. G. Lowe, "Object recognition from local scale-invariant features," in Proc. 7th IEEE Int. Conf. Comput. Vis., vol. 2. Sep. 1999, pp. 1150-1157.
    • (1999) Proc. 7th IEEE Int. Conf. Comput. Vis , vol.2 , pp. 1150-1157
    • Lowe, D.G.1
  • 27
    • 70450209196 scopus 로고    scopus 로고
    • Linear spatial pyramid matching using sparse coding for image classification
    • Jun
    • J. Yang, K. Yu, Y. Gong, and T. Huang, "Linear spatial pyramid matching using sparse coding for image classification," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2009, pp. 1794-1801.
    • (2009) Proc. IEEE Conf. Comput. Vis. Pattern Recognit , pp. 1794-1801
    • Yang, J.1    Yu, K.2    Gong, Y.3    Huang, T.4
  • 28
    • 0000107975 scopus 로고
    • Relations between two sets of variates
    • H. Hotelling, "Relations between two sets of variates," Biometrika, vol. 28, nos. 3-4, pp. 321-377, 1936.
    • (1936) Biometrika , vol.28 , Issue.3-4 , pp. 321-377
    • Hotelling, H.1
  • 29
    • 10044285992 scopus 로고    scopus 로고
    • Canonical correlation analysis: An overview with application to learning methods
    • Dec
    • D. Hardoon, S. Szedmak, and J. Shawe-Taylor, "Canonical correlation analysis: An overview with application to learning methods," Neural Comput., vol. 16, no. 12, pp. 2639-2664, Dec. 2004.
    • (2004) Neural Comput , vol.16 , Issue.12 , pp. 2639-2664
    • Hardoon, D.1    Szedmak, S.2    Shawe-Taylor, J.3
  • 31
    • 80053441153 scopus 로고    scopus 로고
    • A co-training approach for multiview spectral clustering
    • A. Kumar and H. Daumé, III, "A co-training approach for multiview spectral clustering," in Proc. Int. Conf. Mach. Learn., 2011, pp. 393-400.
    • (2011) Proc. Int. Conf. Mach. Learn , pp. 393-400
    • Kumar, A.1    Daumé, H.2
  • 34
    • 13444286179 scopus 로고    scopus 로고
    • Locality preserving projections
    • X. Niyogi, "Locality preserving projections," in Proc. Neural Inf. Process. Syst., vol. 16. 2004, p. 153.
    • (2004) Proc. Neural Inf. Process. Syst , vol.16 , pp. 153
    • Niyogi, X.1
  • 35
    • 27844605876 scopus 로고    scopus 로고
    • Probabilistic non-linear principal component analysis with gaussian process latent variable models
    • Nov
    • N. Lawrence, "Probabilistic non-linear principal component analysis with Gaussian process latent variable models," J. Mach. Learn. Res., vol. 6, pp. 1783-1816, Nov. 2005.
    • (2005) J. Mach. Learn. Res , vol.6 , pp. 1783-1816
    • Lawrence, N.1
  • 38
    • 33749268385 scopus 로고    scopus 로고
    • Local distance preservation in the gp-lvm through back constraints
    • N. D. Lawrence and J. Quiñonero-Candela, "Local distance preservation in the GP-LVM through back constraints," in Proc. Int. Conf. Mach. Learn., vol. 148. 2006, pp. 513-520.
    • (2006) Proc. Int. Conf. Mach. Learn , vol.148 , pp. 513-520
    • Lawrence, N.D.1    Quiñonero-Candela, J.2
  • 41
    • 85162042630 scopus 로고    scopus 로고
    • Implicitly constrained gaussian process regression for monocular non-rigid pose estimation
    • M. Salzmann and R. Urtasun, "Implicitly constrained Gaussian process regression for monocular non-rigid pose estimation," in Proc. Adv. Neural Inf. Process. Syst., 2010, pp. 2065-2073.
    • (2010) Proc. Adv. Neural Inf. Process. Syst , pp. 2065-2073
    • Salzmann, M.1    Urtasun, R.2
  • 42
    • 33749596705 scopus 로고    scopus 로고
    • Semi-supervised learning: From gaussian fields to gaussian processes
    • Carnegie Mellon Univ., Pittsburgh, PA, USA, Tech. Rep. CMU-CS
    • X. Zhu, J. D. Lafferty, and Z. Ghahramani, "Semi-supervised learning: From Gaussian fields to Gaussian processes," School Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA, Tech. Rep. CMU-CS-03-175, 2003.
    • (2003) School Comput. Sci , pp. 03-175
    • Zhu, X.1    Lafferty, J.D.2    Ghahramani, Z.3
  • 43
    • 84898656994 scopus 로고    scopus 로고
    • Kernel regularized least squares: Reducing misspecification bias with a flexible and interpretable machine learning approach
    • J. Hainmueller and C. Hazlett, "Kernel regularized least squares: Reducing misspecification bias with a flexible and interpretable machine learning approach," Political Anal., vol. 22, no. 2, pp. 143-168, 2014.
    • (2014) Political Anal , vol.22 , Issue.2 , pp. 143-168
    • Hainmueller, J.1    Hazlett, C.2
  • 44
    • 84865131152 scopus 로고    scopus 로고
    • A generalized representer theorem
    • Berlin, Germany: Springer-Verlag
    • B. Schölkopf, R. Herbrich, and A. J. Smola, "A generalized representer theorem," in Computational Learning Theory. Berlin, Germany: Springer-Verlag, 2001, pp. 416-426.
    • (2001) Computational Learning Theory , pp. 416-426
    • Schölkopf, B.1    Herbrich, R.2    Smola, A.J.3
  • 45
    • 0035344742 scopus 로고    scopus 로고
    • Predictive approaches for choosing hyperparameters in gaussian processes
    • May
    • S. Sundararajan and S. Keerthi, "Predictive approaches for choosing hyperparameters in Gaussian processes," Neural Comput., vol. 13, no. 5, pp. 1103-1118, May 2001.
    • (2001) Neural Comput , vol.13 , Issue.5 , pp. 1103-1118
    • Sundararajan, S.1    Keerthi, S.2
  • 48
    • 84856645363 scopus 로고    scopus 로고
    • Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark
    • Nov
    • A. Dhall, R. Goecke, S. Lucey, and T. Gedeon, "Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark," in Proc. Int. Conf Comput. Vis. Workshops, Nov. 2011, pp. 2106-2112.
    • (2011) Proc. Int. Conf Comput. Vis. Workshops , pp. 2106-2112
    • Dhall, A.1    Goecke, R.2    Lucey, S.3    Gedeon, T.4
  • 50
    • 49049108892 scopus 로고    scopus 로고
    • Blur insensitive texture classification using local phase quantization
    • Berlin, Germany: Springer-Verlag
    • V. Ojansivu and J. Heikkilä, "Blur insensitive texture classification using local phase quantization," in Image and Signal Processing. Berlin, Germany: Springer-Verlag, 2008, pp. 236-243.
    • (2008) Image and Signal Processing , pp. 236-243
    • Ojansivu, V.1    Heikkilä, J.2
  • 52
    • 34249907869 scopus 로고    scopus 로고
    • Gabor feature-based face recognition using supervised locality preserving projection
    • Oct
    • Z. Zheng, F. Yang, W. Tan, J. Jia, and J. Yang, "Gabor feature-based face recognition using supervised locality preserving projection," Signal Process., vol. 87, no. 10, pp. 2473-2483, Oct. 2007.
    • (2007) Signal Process , vol.87 , Issue.10 , pp. 2473-2483
    • Zheng, Z.1    Yang, F.2    Tan, W.3    Jia, J.4    Yang, J.5
  • 53
    • 33645009609 scopus 로고    scopus 로고
    • Dynamics of facial expression: Recognition of facial actions and their temporal segments from face profile image sequences
    • Apr
    • M. Pantic and I. Patras, "Dynamics of facial expression: Recognition of facial actions and their temporal segments from face profile image sequences," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 36, no. 2, pp. 433-449, Apr. 2006.
    • (2006) IEEE Trans. Syst., Man, Cybern. B, Cybern , vol.36 , Issue.2 , pp. 433-449
    • Pantic, M.1    Patras, I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.