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Cited by 81Face recognition and analysisEmotion and Mood RecognitionFace and Expression Recognition

The DOI matches its Crossref record, with a small difference in title or year; 2 of the 2 references it cites were found in a registry or an index.

Facial animation parameters extraction and expression recognition using Hidden Markov Models

Pardàs, Montse, Bonafonte, Antonio·2002·Signal Processing: Image Communication
DOI 10.1016/s0923-5965(02)00078-4
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Research works printed but not linked: 29

  1. J. Ahlberg, An active model for facial feature tracking. EURASIP J. Appl. Signal Process. (June 2002) 566–571. · DOI
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  3. Black, 1997, Recognizing facial expressions in image sequences using local parameterized models of image motion, Int. J. Comput. Vision, 25, 23, 10.1023/A:1007977618277 · DOI · Paper page
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  7. Cottrell, 1991, EMPATH, Neural Inform. Process. Systems, 3, 564
  8. D. DeCarlo, D. Metaxas, Adjusting shape parameters using model-based optical flow residuals, IEEE Trans. Pattern Anal. Mach. Intell., 24 (6) (June 2002) 814–823. · DOI
  9. Eisert, 1998, Analyzing facial expression for virtual conferencing, IEEE Comput. Graphics Appl., 18, 70, 10.1109/38.708562 · DOI · Paper page
  10. P. Ekman, W. Friesen, Facial Action Coding System, Consulting Psychologists Press, Palo Alto, CA 94306, 1978. · DOI · Paper page
  11. I. Essa, Analysis, interpretation and synthesis of facial expressions, Ph.D. Thesis, Massachusetts Institute of Technology, MIT Media Laboratory.
  12. I. Essa, A. Pentland, Facial expression recognition using a dynamic model and motion energy, Proceedings of the International Conference on Computer Vision 1995, Cambridge, MA, May 1995. · DOI
  13. D. Geiger, A. Gupta, L.A. Costa, J. Vlontzos, Dynamic programming for detection, tracking, and matching deformable contours, IEEE Trans. Pattern Anal. Mach. Intell. 17 (3) (March 1995) 294–302. · DOI
  14. Gunn, 1998, Global and local active contours for head boundary extraction, Int. J. Comput. Vision, 30, 43, 10.1023/A:1008065429466 · DOI
  15. T. Kanade, J.F. Cohn, Y. Tian, Comprehensive database for facial expression analysis, Proceedings of the Fourth IEEE International Conference on Automatic Face and Gestures Recognition, Grenoble, France, 2000. · DOI
  16. Kass, 1988, Snakes, Int. J. Comput. Vision, 1, 321, 10.1007/BF00133570 · DOI
  17. Kervrann, 1997, Generalized likelihood ratio-based face detection and extraction of mouth features, Pattern Recognition Lett., 18, 899, 10.1016/S0167-8655(97)00065-2 · DOI
  18. Lam, 1998, An unbiased active contour algorithm for object tracking, Pattern Recognition Lett., 19, 491, 10.1016/S0167-8655(98)00015-4 · DOI
  19. J. Lien, T. Kanade, J. Cohn, C. Li, Subtly different facial expression recognition and expression intensity estimation, in: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, Santa Barbara, CA, June 1998, pp. 853–859. · DOI
  20. B. Moghaddam, A. Pentland, Probabilistic visual learning for object detection, in Fifth International Conference on Computer Vision, Cambridge, MA, June 1995. · DOI
  21. N. Oliver, A. Pentland, F. Berard, LAFTER: a real-time lips and face tracker with facial expression recognition, in: Proceeding of IEEE Conference on Computer Vision, Puerto Rico, 1997.
  22. C. Padgett, G. Cottrell, Identifying emotion in static face images, in: Proceedings of the Second Joint Symposium on Neural Computation, Vol. 5, La Jolla, CA, University of California, San Diego, pp. 91–101.
  23. M. Pardàs, E. Sayrol, Motion estimation based tracking of active contours, Pattern Recognition Lett. 22 (13) (November 2001) 1447–1456. · DOI
  24. L.R. Rabiner, A tutorial on hidden Markov models and selected applications in speech recognition, Proc. IEEE 77 (2) (February 1989) 257–284. · DOI · Paper page
  25. Rosenblum, 1996, Human expression recognition from motion using a radial basis function network architecture, IEEE Trans. Neural Networks, 7, 1121, 10.1109/72.536309 · DOI · Paper page
  26. F. de la Torre, Y. Yacoob, L. Davis, A probabilistic framework for rigid and non-rigid appearance based tracking and recognition, in: Proc. Fourth IEEE Int. Conf. Autom. Face Gesture Recognition (2000) 491–498. · DOI
  27. V. Vilaplana, F. Marqués, P. Salembier, L. Garrido, Region based segmentation and tracking of human faces, in: Proceedings of European Signal Processing Conference (EUSIPCO-98), 1998, pp. 311–314.
  28. Y. Yacoob, L.S. Davis, Recognizing human facial expressions from long image sequences using optical flow, IEEE Trans. Pattern Anal. Mach. Intell. 18 (6) (June 1996) 636–642. · DOI
  29. A. Young, H. Ellis (Eds.), Handbook of Research on Face Processing, Elsevier Science, Amsterdam, 1989.

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Metadata

Authors
Pardàs, M., & Bonafonte, A.
Affiliations
Universitat Politècnica de Catalunya (ES)
Corresponding author
Pardàs, Montse
ORCID
Venue
Signal Processing: Image Communication
Publisher
Elsevier BV
Published
2002-10
Volume
17
Issue
9
Pages
675-688
ISSN
0923-5965 (ISSN-L)
DOI
10.1016/s0923-5965(02)00078-4
OpenAlex
W2075612081
Cited by
81
References
2
Citations by year
2025: 1 · 2023: 3 · 2022: 4 · 2021: 1 · 2020: 4 · 2019: 6 · 2018: 7 · 2017: 2 · 2016: 1 · 2015: 1 · 2014: 6 · 2013: 6 · 2012: 6
FWCI
1.50
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
Signal Processing Image Communication (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
  • Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
Keywords
facial expression recognition, facial animation parameters, hidden Markov models, snakes, principal component analysis, face tracking

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