Abstract
We propose a face and completely facial feature extraction model for facial expression applications. This model applies to both face contour detection and face region detection. First, we introduce skin-color filtering using YCbCr color space to extract the skin-color of face the region. Second, the template ACM is modeled by the active contour model. This model is more active than ASM (Active Shape Model). Our algorithm has been tested in experiments with various subjects, producing a good extraction results.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Cootes, T.F., Taylor, C.J.: Active Shape Models - Smart Snakes. In: Proc. British Machine Vision Conference, pp. 266–275 (1992)
Cootes, T.F., Taylor, C.J., Cooper, D.H., GraHam, J.: Active Shape Models - Theirs Training and Application. Computer Vision and Image Understanding 61(1), 38–59 (1995)
Kass, M., Witkin, A., Terzopoulus, D.: Snakes: Active Contour Models. Internation Journal of Computer Vision 1(4), 321–331 (1987)
Garcia, G., Vicente, C.: Face Detection on Still Images Using HIT Maps. In: Bigun, J., Smeraldi, F. (eds.) AVBPA 2001. LNCS, vol. 2091, pp. 102–107. Springer, Heidelberg (2001)
Sun, D., Wu, L.: Face Boundary Extraction by Statistical Constraint Active Contour Model. In: IEEE Int. Conf. Neural Networks & Signal Processing, China, December 14-17, 2003., IEEE, Los Alamitos (2003)
Wan, K.-w.: An accurate active shape model for facial feature extraction. Pattern Recognition Letters 26, 2409–2423 (2005)
Yang, G., Huang, T.S.: Human Face Detection in Complex Background. Pattern Recognition 27(1), 53–63 (1994)
Yow, K.C., Cipolla, R.: Feature-Based Human Face Detection. Image and Vision Computing 15(9), 713–735 (1997)
Dai, Y., Nakano, Y.: Face-Texture Model Based on SGLD and Its Application in Face Detection in a Color Scene. Pattern Recognition 29(6), 1007–1017 (1996)
McKenna, S., Gong, S., Raja, Y.: Modelling Facial Colour and Identity with Gaussian Mixtures. Pattern Recognition 31(12), 1883–1892 (1998)
Chai, D., Ngan, K.N.: Face segmentation using skin-color map in videophone applications. IEEE Trans. On Circuits and Systems for Video Technology 9(4), 551–564 (1999)
Kjeldsen, R., Kender, J.: Finding Skin in Color Images. In: Proc. Second Int’l Conf. Automatic Face and Gesture Recognition, pp.312–317 (1996)
Craw, I., Tock, D., Bennett, A.: Finding Face Features. In: Proc. Second European Conf. Computer Vision, pp. 92–96 (1992)
Rowley, H., Baluja, S., Kanade, T.: Neural Network-Based Face Detection. IEEE Trans. Pattern Analysis and Machine Intelligence 20(1), 23–38 (1998)
Osuna, E., Freund, R., Girosi, F.: Training Support Vector Machines: An Application to Face Detection. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 130–136. IEEE, Los Alamitos (1997)
Rajagopalan, A., Kumar, K., Karlekar, J., Manivasakan, R., Patil, M., Desai, U., Poonacha, P., Chaudhuri, S.: Finding Faces in Photographs. In: Proc. Sixth IEEE Int’l Conf. Computer Vision, pp. 640–645. IEEE, Los Alamitos (1998)
Yuille, A.L., Cohen, D.S., Hallinan, P.W.: Feature extraction from faces using deformable templates. Internal Journal of Computer Vision, 99–111 (1992)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Weon, S., Lee, K., Kim, G. (2007). Contour Extraction of Facial Feature Components Using Template Based Snake Algorithm. In: Gervasi, O., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2007. ICCSA 2007. Lecture Notes in Computer Science, vol 4705. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74472-6_85
Download citation
DOI: https://doi.org/10.1007/978-3-540-74472-6_85
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74468-9
Online ISBN: 978-3-540-74472-6
eBook Packages: Computer ScienceComputer Science (R0)