Fondazione Bruno Kessler - Technologies of Vision
contains material from
Template Matching Techniques in Computer Vision: Theory and Practice
Roberto Brunelli © 2009 John Wiley & Sons, Ltd
[1] G Antonini, M Sorci, M Bierlaire, and JP Thiran. Discrete choice models for static
facial expression recognition. In Proc. of the 8th International Conference on Advanced
Concepts for Intelligent Vision Systems (ACIVS’06), volume 4179 of Lecture Notes in
Computer Science, pages 710–721. Springer, 2006.
http://dx.doi.org/10.1007/11864349_65.
[2] MS Bartlett, G Littlewort, M Frank, C Lainscsek, IR Fasel, and JR Movellan.
Recognizing facial expression: Machine learning and application to spontaneous behavior.
In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR’05),
volume 2, pages 568–573, 2005.
http://dx.doi.org/10.1109/CVPR.2005.297.
[3] MS Bartlett, G Littlewort, M Frank, C Lainscsek, IR Fasel, and JR Movellan. Fully
automatic facial action recognition in spontaneous behavior. In Proc. of the 7th
International Conference on Automatic Face and Gesture Recognition (FG’06), pages
223–230, 2006.
http://dx.doi.org/10.1109/FGR.2006.55.
[4] MS Bartlett, G Littlewort, C Lainscsek, IR Fasel, and JR Movellan. Machine
learning methods for fully automatic recognition of facial expressions and facial actions. In
Proc. of the IEEE International Conference on Systems, Man, and Cybernetics, volume 1,
pages 592–597, 2004.
http://dx.doi.org/10.1109/ICSMC.2004.1398364.
[5] D Beymer, A Shashua, and T Poggio. Example based image analysis and synthesis. Technical Report AIM-1431; CBCL-080, MIT, 1993.
[6] J Cohn and T Kanade. Use of automated facial image analysis for measurement of emotion expression. In JA Coan and JB Allen, editors, The handbook of emotion elicitation and assessment. Oxford University Press, 2006.
[7] JR Cowell and A Ayesh. Extracting subtle facial expression for emotional analysis. In
Proc. of the IEEE International Conference on Systems, Man, and Cybernetics, volume 1,
pages 677–681, 2004.
http://dx.doi.org/10.1109/ICSMC.2004.1398378.
[8] F De la Torre and MJ Black. Dynamic coupled component analysis. In Proc. of the
IEEE Conference on Computer Vision and Pattern Recognition (CVPR’01), volume 2,
pages 643–650, 2001.
http://dx.doi.org/10.1109/CVPR.2001.991024.
[9] G Donato, MS Bartlett, JC Hager, P Ekman, and TJ Sejnowski. Classifying facial
actions. IEEE Trans. on Pattern Analysis and Machine Intelligence, 21:974–989, 1999.
http://dx.doi.org/10.1109/34.799905.
[10] P Ekman and WV Friesen. Facial Action Coding System. Consulting Psychologists Press Inc., Palo Alto, Calif., 1978.
[11] IA Essa and A Pentland. Coding, analysis, interpretation, and recognition of facial
expressions. IEEE Trans. on Pattern Analysis and Machine Intelligence, 19:757–763, 1997.
http://dx.doi.org/10.1109/34.598232.
[12] H Gu and Q Ji. An automated face reader for fatigue detection. In Proc. of the
6th International Conference on Automatic Face and Gesture Recognition (FG’04), pages
111–116, 2004.
http://dx.doi.org/10.1109/AFGR.2004.1301517.
[13] A Kapoor, YA Qi, and RW Picard. Fully automatic upper facial action recognition. In
Proc. of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
(AMFG’03), pages 195–202, 2003.
http://dx.doi.org/10.1109/AMFG.2003.1240843.
[14] I Kotsia and I Pitas. Facial expression recognition in image sequences using geometric
deformation features and support vector machines. IEEE Trans. on Image processing,
16:172–187, 2007.
http://dx.doi.org/10.1109/TIP.2006.884954.
[15] M Pantic, I Patras, and M Valstar. Learning spatiotemporal models of facial expressions. In Proc. of the International Conference Measuring Behaviour, pages 7–10, 2005.
[16] M Pantic and L Rothkrantz. Facial action recognition for facial expression analysis
from static face images. IEEE Trans. on Systems, Man and Cybernetics, Part B,
34:1449–1461, 2004.
http://dx.doi.org/10.1109/TSMCB.2004.825931.
[17] YL Tian, T Kanade, and JF Cohn. Recognizing action units for facial expression
analysis. IEEE Trans. on Pattern Analysis and Machine Intelligence, 23:97–115, 2001.
http://dx.doi.org/10.1109/34.908962.
[18] PH Tsai and T Jan. Expression-invariant face recognition system using subspace
model analysis. In Proc. of the IEEE International Conference on Systems, Man, and
Cybernetics, volume 2, pages 1712–1717, 2005.
http://dx.doi.org/10.1109/ICSMC.2005.1571395.
[19] M Valstar, M Pantic, and I Patras. Motion history for facial action detection in video.
In Proc. of the IEEE International Conference on Systems, Man, and Cybernetics, pages
635–640, 2004.
http://dx.doi.org/10.1109/ICSMC.2004.1398371.
[20] MF Valstar and M Pantic. Fully automatic facial action unit detection and temporal
analysis. In Proc. of the Conference on Computer Vision and Pattern Recognition
Workshop, page 149, 2006.
http://dx.doi.org/10.1109/CVPRW.2006.85.
[21] J Whitehill and CW Omlin. Haar features for FACS AU recognition. In Proc. of the
7th International Conference on Automatic Face and Gesture Recognition (FG’06), pages
97–101, 2006.
http://dx.doi.org/10.1109/FGR.2006.61.
[22] J Whitehill and CW Omlin. Local versus global segmentation for facial expression
recognition. In Proc. of the 7th International Conference on Automatic Face and Gesture
Recognition (FG’06), pages 357–362, 2006.
http://dx.doi.org/10.1109/FGR.2006.74.
[23] Y Zhan, J Ye, D Niu, and P Cao. Facial expression recognition based on Gabor
wavelet transformation and elastic templates matching. Int. J. of Image and Graphics,
6:125–138, 2006.
http://dx.doi.org/10.1142/S0219467806002112.