Emotion recognition using dynamic grid-based HoG features

2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011

Volumn , Issue , 2011, Pages 884-888

  Dahmane, Mohamed ^a   Meunier, Jean ^a  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC FACIAL EXPRESSION ANALYSIS; BASE LEARNERS; BASELINE METHODS; BEHAVIOR UNDERSTANDING; CLASSIFICATION PERFORMANCE; DESCRIPTORS; EMOTION DETECTION; EMOTION RECOGNITION; FACIAL EMOTIONS; FACIAL EXPRESSIONS; GENERAL EXPRESSION; GRADIENT MAGNITUDE; GRID-BASED; HUMAN COMPUTER INTERFACES; MACHINE LEARNING TECHNIQUES; RADIAL BASIS FUNCTIONS;

BEHAVIORAL RESEARCH; FEATURE EXTRACTION; GESTURE RECOGNITION; GRAPHIC METHODS; INTERFACES (COMPUTER); RADIAL BASIS FUNCTION NETWORKS;

FACE RECOGNITION;

EID: 79958759929     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FG.2011.5771368     Document Type: Conference Paper

References (12)

1. M. Pantic and L. Rothkrantz, "Automatic Analysis of Facial Expressions: The State of the Art," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, pp. 1424-1445, December 2000. (Pubitemid 32088469)
2. B. Fasel and J. Luettin, "Automatic facial expression analysis: a survey," Pattern Recognition, vol. 36, no. 1, pp. 259-275, 2003.
3. J. Cohen, A. Zlochower, J. Lien, and T. Kanade, Face Analysis by Feature Point Tracking Has Concurrent Validity with Manual FACS Coding. Psychophysiology 36(1):35-43, 1999. (Pubitemid 29044454)
4. G. Cottrell, M. Dailey, and C. Padgett, Is All Faces Processing Holistic? The view from UCSD. Erlbaum: M. Wenger, J Twnsend (Eds), Computational, Geometric and Process Perspectives on Facial Recognition, Contexts and Challenges: Contexts and Challenges, 2003.
5. Y. Hu, L. Chen, Y. Zhou, and H. Zhang, "Estimating face pose by facial asymmetry and geometry," in Sixth IEEE International Conference on Automatic Face and Gesture Recognition., pp. 651-656, May 2004.
6. M. Pantic and M. S. Bartlett, "Machine analysis of facial expressions," in Face Recognition (K. Delac and M. Grgic, eds.), pp. 377-416, Vienna, Austria: I-Tech Education and Publishing, July 2007.
7. S. Lucey, A. B. Ashraf, and J. Cohn, "Investigating spontaneous facial action recognition through aam representations of the face," in Face Recognition Book (K. Kurihara, ed.), Pro Literatur Verlag, April 2007.
8. B. Jiang, M. Valstar, and M. Pantic, "Action unit detection using appearance in sparse space-time volumes," in IEEE Int'l. Conf. Face and Gesture Recognition (FG'11), pp.-, 2011.
9. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in Computer Vision and Pattern Recognition, pp. 886-893, 2005. (Pubitemid 43897286)
10. V. N. Vapnik, Statistical Learning Theory. New York, NY (USA): Wiley, 1998.
11. N. Cristianini and J. Shawe-Taylor, An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge, UK: Cambridge University Press, 2000.
12. P. Viola and M. J. Jones, "Robust Real-Time Face Detection," International Journal of Computer Vision, vol. 57, pp. 137-154-154, May 2004.