메뉴 건너뛰기




Volumn 9280, Issue , 2015, Pages 586-597

Ensemble of Hankel matrices for face emotion recognition

Author keywords

Classification; Emotion; Face processing; Hankel matrix; LTI systems

Indexed keywords

CLASSIFICATION (OF INFORMATION); IMAGE ANALYSIS; IMAGE PROCESSING; LINEAR SYSTEMS; MATRIX ALGEBRA; TIME SERIES;

EID: 84944809764     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-23234-8_54     Document Type: Conference Paper
Times cited : (6)

References (38)
  • 4
    • 34547535371 scopus 로고    scopus 로고
    • A kernel for time series based on global alignments
    • Speech and Signal Processing (ICASSP), pp. II-413. IEEE
    • Cuturi, M., Vert, J., Birkenes, O., Matsui, T.: A kernel for time series based on global alignments. In: Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), vol. 2, pp. II-413. IEEE (2007).
    • (2007) Int. Conf. on Acoustics , vol.2
    • Cuturi, M.1    Vert, J.2    Birkenes, O.3    Matsui, T.4
  • 6
    • 0037209464 scopus 로고    scopus 로고
    • Automatic facial expression analysis: A survey
    • Fasel, B., Luettin, J.: Automatic facial expression analysis: a survey. Pattern Recognition 36(1), 259-275 (2003).
    • (2003) Pattern Recognition , vol.36 , Issue.1 , pp. 259-275
    • Fasel, B.1    Luettin, J.2
  • 10
    • 34250890801 scopus 로고    scopus 로고
    • Using assistive technology to teach emotion recognition to students with asperger syndrome a pilot study
    • Lacava, P. G., Golan, O., Baron-Cohen, S., Myles, B. S.: Using assistive technology to teach emotion recognition to students with asperger syndrome a pilot study. Remedial and Special Education 28(3), 174-181 (2007).
    • (2007) Remedial and Special Education , vol.28 , Issue.3 , pp. 174-181
    • Lacava, P.G.1    Golan, O.2    Baron-Cohen, S.3    Myles, B.S.4
  • 13
    • 17744406666 scopus 로고    scopus 로고
    • An extended set of haar-like features for rapid object detection
    • IEEE
    • Lienhart, R., Maydt, J.: An extended set of haar-like features for rapid object detection. In: Int. Conf. on Image Processing, vol. 1, pp. I-900. IEEE (2002).
    • (2002) Int. Conf. on Image Processing , vol.1 , pp. I-900
    • Lienhart, R.1    Maydt, J.2
  • 15
    • 84939486012 scopus 로고    scopus 로고
    • Tracking your detector performance: How to grow an effective training set in tracking-by-detection methods
    • Lo Presti, L., La Cascia, M.: Tracking your detector performance: how to grow an effective training set in tracking-by-detection methods. In: Int. Conf. on Computer Vision Theory and Applications (VISAPP), pp. 1-8 (2015).
    • (2015) Int. Conf. on Computer Vision Theory and Applications (VISAPP) , pp. 1-8
    • Lo Presti, L.1    La Cascia, M.2
  • 17
    • 84983621565 scopus 로고    scopus 로고
    • Gesture modeling by hankletbased hidden markov model
    • Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.),. Springer, Heidelberg
    • Lo Presti, L., La Cascia, M., Sclaroff, S., Camps, O.: Gesture modeling by hankletbased hidden markov model. In: Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.) ACCV 2014. LNCS, vol. 9005, pp. 529-546. Springer, Heidelberg (2015).
    • (2015) ACCV 2014. LNCS , vol.9005 , pp. 529-546
    • Lo Presti, L.1    La Cascia, M.2    Sclaroff, S.3    Camps, O.4
  • 23
    • 84911912070 scopus 로고    scopus 로고
    • Integrating socially assistive robotics into mental healthcare interventions: Applications and recommendations for expanded use
    • Rabbitt, S. M., Kazdin, A. E., Scassellati, B.: Integrating socially assistive robotics into mental healthcare interventions: Applications and recommendations for expanded use. Clinical Psychology Review 35, 35-46 (2015).
    • (2015) Clinical Psychology Review , vol.35 , pp. 35-46
    • Rabbitt, S.M.1    Kazdin, A.E.2    Scassellati, B.3
  • 24
    • 84883711470 scopus 로고    scopus 로고
    • Local directional number pattern for face analysis: Face and expression recognition
    • Ramirez Rivera, A., Castillo, R., Chae, O.: Local directional number pattern for face analysis: Face and expression recognition. IEEE Transactions on Image Processing (TIP) 22(5), 1740-1752 (2013).
    • (2013) IEEE Transactions on Image Processing (TIP) , vol.22 , Issue.5 , pp. 1740-1752
    • Ramirez Rivera, A.1    Castillo, R.2    Chae, O.3
  • 26
    • 78149333918 scopus 로고    scopus 로고
    • Compressive acquisition of dynamic scenes
    • Daniilidis, K., Maragos, P., Paragios, N. (eds.), Part I. LNCS,. Springer, Heidelberg
    • Sankaranarayanan, A. C., Turaga, P. K., Baraniuk, R. G., Chellappa, R.: Compressive acquisition of dynamic scenes. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part I. LNCS, vol. 6311, pp. 129-142. Springer, Heidelberg (2010).
    • (2010) ECCV 2010 , vol.6311 , pp. 129-142
    • Sankaranarayanan, A.C.1    Turaga, P.K.2    Baraniuk, R.G.3    Chellappa, R.4
  • 28
    • 84898035653 scopus 로고    scopus 로고
    • Dynamic facial expression recognition using a Bayesian temporal manifold model
    • Shan, C., Gong, S., McOwan, P. W.: Dynamic facial expression recognition using a Bayesian temporal manifold model. In: BMVC, pp. 297-306 (2006).
    • (2006) BMVC , pp. 297-306
    • Shan, C.1    Gong, S.2    McOwan, P.W.3
  • 29
    • 84911003814 scopus 로고    scopus 로고
    • Accurate 3D action recognition using learning on the Grassmann manifold
    • Slama, R., Wannous, H., Daoudi, M., Srivastava, A.: Accurate 3D action recognition using learning on the Grassmann manifold. Pattern Recognition (PR) 48(2), 556-567 (2015).
    • (2015) Pattern Recognition (PR) , vol.48 , Issue.2 , pp. 556-567
    • Slama, R.1    Wannous, H.2    Daoudi, M.3    Srivastava, A.4
  • 30
    • 0029509295 scopus 로고
    • Subspace-based methods for the identification of linear time-invariant systems
    • Viberg, M.: Subspace-based methods for the identification of linear time-invariant systems. Automatica 31(12), 1835-1851 (1995).
    • (1995) Automatica , vol.31 , Issue.12 , pp. 1835-1851
    • Viberg, M.1
  • 32
    • 84887348989 scopus 로고    scopus 로고
    • Capturing complex spatio-temporal relations among facial muscles for facial expression recognition
    • IEEE
    • Wang, Z., Wang, S., Ji, Q.: Capturing complex spatio-temporal relations among facial muscles for facial expression recognition. In: Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 3422-3429. IEEE (2013).
    • (2013) Conf. on Computer Vision and Pattern Recognition (CVPR) , pp. 3422-3429
    • Wang, Z.1    Wang, S.2    Ji, Q.3
  • 33
    • 56749091802 scopus 로고    scopus 로고
    • Similarity features for facial event analysis
    • Forsyth, D., Torr, P., Zisserman, A. (eds.), Part I. LNCS,. Springer, Heidelberg
    • Yang, P., Liu, Q., Metaxas, D.: Similarity features for facial event analysis. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol. 5302, pp. 685-696. Springer, Heidelberg (2008).
    • (2008) ECCV 2008 , vol.5302 , pp. 685-696
    • Yang, P.1    Liu, Q.2    Metaxas, D.3
  • 34
    • 34948892100 scopus 로고    scopus 로고
    • Boosting coded dynamic features for facial action units and facial expression recognition
    • IEEE
    • Yang, P., Liu, Q., Metaxas, D. N.: Boosting coded dynamic features for facial action units and facial expression recognition. In: Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 1-6. IEEE (2007).
    • (2007) Conf. on Computer Vision and Pattern Recognition (CVPR) , pp. 1-6
    • Yang, P.1    Liu, Q.2    Metaxas, D.N.3
  • 36
    • 34247557079 scopus 로고    scopus 로고
    • Dynamic texture recognition using local binary patterns with an application to facial expressions
    • Zhao, G., Pietikainen, M.: Dynamic texture recognition using local binary patterns with an application to facial expressions. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI) 29(6), 915-928 (2007).
    • (2007) IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI) , vol.29 , Issue.6 , pp. 915-928
    • Zhao, G.1    Pietikainen, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.