A spatio-temporal probabilistic framework for dividing and predicting facial action units

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6975 LNCS, Issue PART 2, 2011, Pages 598-607

  Rahman, A K M Mahbubur ^a   Tanveer, Md Iftekhar ^a   Yeasin, Mohammed ^a  

^a UNIVERSITY OF MEMPHIS   (United States)

Author keywords

Affective computing; Spatio Temporal AU relations

Indexed keywords

AFFECTIVE COMPUTING; DATA DRIVEN; DATA SETS; DEGREES OF COMPLEXITY; DYNAMIC BAYESIAN NETWORK; EMPIRICAL ANALYSIS; EMPIRICAL RESULTS; FACIAL ACTION; FACIAL MUSCLES; PERFORMANCE VALIDATION; PERTURBATION ANALYSIS; PREDICTIVE MECHANISMS; PROBABILISTIC APPROACHES; PROBABILISTIC FRAMEWORK; SCORING FUNCTIONS; SPATIO-TEMPORAL; SPATIOTEMPORAL MODELING; STRONGLY CONNECTED; DYNAMIC BAYESIAN NETWORKS; SPATIO TEMPORAL; SPATIO-TEMPORAL MODELS;

DISTRIBUTED PARAMETER NETWORKS; FORECASTING; INFERENCE ENGINES; INTELLIGENT COMPUTING; INTELLIGENT NETWORKS; PHYSIOLOGY; COMPLEX NETWORKS;

BAYESIAN NETWORKS;

EID: 80054835929     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24571-8_74     Document Type: Conference Paper

References (15)

1. Bartlett, M.S., Littlewort, G., Frank, M.G., Lainscsek, C., Fasel, I.R., Movellan, J.R.: Automatic recognition of facial actions in spontaneous expressions. Jour. of Multimedia 1(6) (2006)
2. Ekman, P., Friesen, W.V.: Facial action coding system: A technique for the measurement of facial movement (1978)
3. Koelstra, S., Pantic, M., Patras, I.: A dynamic texture-based approach to recognition of facial actions and their temporal models. IEEE Tran. on PAMI (2010)
4. Littlewort, G.C., Bartlett, M.S., Lee, K.: Automatic coding of facial expressions displayed during posed and genuine pain. Image Vi. Comput. 27, 1797-1803 (2009)
5. Lucey, P., Cohn, J., Kanade, T., Saragih, J., Ambadar, Z., Matthews, I.: The extended cohn-kanade dataset (ck+): A complete dataset for action unit and emotion-specified expression. In: CVPR Workshops (June 2010)
6. Lucey, S., Ashraf, A., Cohn, J.: Investigating spontaneous facial action recognition through aam representations of the face. I-Tech Ed. and Pub. (2007)
7. Pantic, M., Valstar, M.F., Rademaker, R., Maat, L.: Web-based database for facial expression analysis. IEEE, Los Alamitos (2005)
8. Picard, R.W.: Affective computing: challenges. Int. J. Hum.-Comp. Stud. 59 (2003)
9. Mahbubur Rahman, A.K.M.: Using probablistic graphical model in finding significant subset of facial action units. MS Thesis (2011)
10. Savran, A., Alyüz, N., Dibeklioǧlu, H., Çeliktutan, O., Gökberk, B., Sankur, B., Akarun, L.: Bosphorus database for 3D face analysis. In: Schouten, B., Juul, N.C., Drygajlo, A., Tistarelli, M. (eds.) BIOID 2008. LNCS, vol. 5372, pp. 47-56. Springer, Heidelberg (2008)
11. Savran, S., Sankur, B., Bilge, M.T.: Facial action unit detection: 3d versus 2d modality. In: CVPR Workshop on Human Comm. Behavior Anal., USA (2010)
12. Tong, Y., Liao, W., Ji, Q.: Facial action unit recognition by exploiting their dynamic and semantic relationships. IEEE Trans. on PAMI (29), 1699 (2007)
13. Tong, Y., Chen, J., Ji, Q.: A unified probabilistic framework for spontaneous facial action modeling and understanding. IEEE Trans. on PAMI 32(2), 258-273 (2010)
14. Yeasin, M., Bullot, B., Sharma, R.: Recognition of facial expressions and measurement of levels of interest from video. IEEE Trans. on Multimedia (2006)
15. Zhang, Y., Ji, Q.: Active and dynamic information fusion for facial expression understanding from image sequences. IEEE Trans. on PAMI (27), 699-714 (2005)