Detection of facial landmarks from neutral, happy, and disgust facial images

13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005, WSCG'2005 - In Co-operation with EUROGRAPHICS, Full Papers

Volumn , Issue , 2005, Pages 55-62

  Guizatdinova, Ioulia ^a   Surakka, Veikko ^a  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

Detection of local oriented edges; Face segmentation; Facial landmarks; Gaussian; Humancomputer interaction; Image processing

Indexed keywords

AUTOMATED ANALYSIS; DATA SETS; FACE SEGMENTATION; FACIAL IMAGES; FACIAL LANDMARK; GAUSSIANS; LANDMARK DETECTION; VISION-BASED INTERACTION;

COMPUTER GRAPHICS; IMAGE PROCESSING; VISUALIZATION;

COMPUTER VISION;

EID: 45549109759     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Canny, J. A computational approach to edge detection. IEEE Trans. on Pattern Analysis and Machine Intelligent 8, No.6, pp.679-98, 1986.
2. Donato, G., Bartlett, M., Hager, J., Ekman, P., and Sejnowski, T. Classifying facial actions. IEEE Trans. on Pattern Analysis and Machine Intelligent 21, No.10, pp.974-989, 1999.
3. Ekman, P., and Friesen, W. Pictures of facial affect. Consulting Psychologists Press, Palo Alto, California, 1976.
4. Ekman, P., and Friesen, W. V. Facial Action Coding System (FACS): A technique for the measurement of facial action. Consulting Psychologists Press, Palo Alto, California, 1978.
5. Ekman, P., Friesen, W., and Hager, J. Facial Action Coding System (FACS). UTAH: A Human Face, Salt Lake City, 2002.
6. Golovan, A. Neurobionic algorithms of lowlevel image processing. in Second All-Russia Scientific Conference Neuroinformatics-2000 conf.proc., vol. 1, pp.166-173, 2000.
7. Guizatdinova, I., and Surakka, V. Detection of facial landmarks from emotionally expressive and neutral facial images. IEEE Trans. on Pattern Analysis and Machine Intelligent, submitted.
8. Jennifer, H., and Picard, J. Digital processing of affective signals. in IEEE ICASSP'98 conf.proc., Seattle, 1998.
9. Kanade, T., Cohn, J.F., and Tian, Y. Comprehensive database for facial expression analysis. in AFGR'00 conf.proc., Grenoble, p.46, 2000.
10. Partala, T., and Surakka, V. The effects of affective interventions in human-computer interaction. Interacting with Computers, 16, pp.295-309, 2004.
11. Rybak, I. A model of attention-guided invariant visual recognition. Vision Research 38, No.15/16, pp.2387-2400, 1998.
12. Shaposhnikov, D., Golovan, A., Podladchikova, L., Shevtsova, N., Gao, X., Gusakova, V., and Gizatdinova, Y. Application of the behavioural model of vision for invariant recognition of facial and traffic sign images. Neurocomputers: Design and Application 7, No.8, pp.21-33, 2002.
13. Surakka, V., and Hietanen, J. Facial and emotional reactions to Duchenne and non-Duchenne smiles. International Journal of Psychophysiology 29, pp.23-33, 1998.
14. Wiskott, L., Fellous, J-M., Kruger, N., and von der Malsburg, C. Face recognition by elastic bunch graph matching. IEEE Trans. on Pattern Analysis and Machine Intelligent 19, No.7, pp.775-779, 1997.
15. Yacoob, Y., Lam, H-M., and Davis, L. Recognizing faces showing expressions. in IWAFGR'95 conf.proc., Zurich, pp.278-283, 1995.