The week's pick
Random Articles
Reseach Article
A New Skin and Frontal Face Detector by selecting Optimized Color Spaces
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 24 - Number 2 |
| Year of Publication: 2011 |
| Authors: B. Somayeh Mousavi, Amin Shahraki Moghadam, Mohammad Mojtaba Keikhayfarzaneh |
10.5120/2922-3859
|
B. Somayeh Mousavi, Amin Shahraki Moghadam, Mohammad Mojtaba Keikhayfarzaneh . A New Skin and Frontal Face Detector by selecting Optimized Color Spaces. International Journal of Computer Applications. 24, 2 ( June 2011), 23-28. DOI=10.5120/2922-3859
Abstract
In this paper a new method to detect faces in colour images, is proposed which has wide range of application in Human-Computer interaction, face processing and illness diagnosis (specially mental disease). Skin colour, lip position and face shape information are the key parameters for developing a fussy rule based classifier to extract face candidate from an image. In first step, skin regions are identified in HSI colour space, using fuzzy system, applying distance of each pixel colour to skin colour cluster as input and produce a skin-likelihood image in output. Next step is searching lip area in the region owning the most likelihood of belonging to skin. This stage is implemented in normalized RGB colour space by fuzzy system its input is r-g value. To extract face regions, fuzzy rule based system is used, applying face and lip position, lip area data and face shape to decide which skin region is human face. With this algorithm, 98.75%, 86.6% detection rates are achieved, respectively for frontal and near frontal. Revising system for detecting profile and rotating faces associated with exactly determine lip area, is the next goal.
References
- M.Yang, D.J.Kriegman, N.Ahuja, “Detecting Face in Image: A Survey”, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol.24, No.1, January 2002.
- P.Kakumanu, S.Makrogiannis, N.Bourbaki “A Survey of Skin-Colour Modeling and Detection methods”, Pattern Recognition, pp. 1106-1122, 2007.
- N.Eveno, A.Caplier, Coulon,”A New Transformation For Lips Segmentation”, Multimedia Signal Processing, 2001 IEEE Fourth Workshop, pp.3-8, Oct.2001.
- J.A.Dargham, A.Chekima, “Lips Detection in the Normalised RGB Colour Scheme”, Information and Communication Technologies, 2006.ICTTA '06.2nd, Vol.1, pp.1546-1551, April 2006.
- J-C.Terrillon, M.David, S.Akamatsu, “Detection of Human Faces in Complex Scene Image by Use of a Skin Colour Model and of Invariant Fourier-mellin Moments”, Pattern Recognition, 1998. Proceedings. Fourteenth International Conference, Vol.2, pp.1350-1355, Aug. 1998.
- Rein-Lein Hsu, M.Abdel-Mottaleb, A.K.Jain, “Face Detection in Colour Image”, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol.24, pp.696-706, May 2002.
- V.Vezhnevets, V.Sazonov, A.Andreeva, “A Survey on Pixel-Based Skin Colour Detection Techniques”, Proc.Graphicon-2003, pp.85-92, Moscow, Russia, Sep. 2003.
- V.Vezhnevets, A.Andreeva, ”A comparative Assessment of Pixel-based Shin Detection Methods”
- T.Caetano, S.Olabarriaga, D.Barone, “Performance Evaluation of Single and Multiple-Gaussian Models for Skin Colour Modeling”, SIBGRAPI’02: Proceedings of the 15th Brazilian Symposium on Computer Graphics and Image Processing, pp.275-282, 2002.
- J.C.Terrillon, M.N.Shirazi, H.Fukamachi, S.Akamatsu, “Comparative Performance of Different Skin Chrominance Models and Chrominance Spaces for Automatic Detection of human Faces in Colour Images”, Proc. Of the International Conference on Face and Gesture Recognition, pp.54-62, 2000.
- J.Y.Lee, S.I.Yoo, “An Elliptical Boundary model for Skin Colour Detection”, Proc. Of the 2002 International Conference on Imaging Science, Systems and Technology, 2002.
- K.Xiao, L.Danghui, S.Lansun, “Segmentation of Skin Colour Region Based on Fuzzy Cluster”, Proc. Of 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, Hong Kong, Oct.2004.
- S.N.Sivanandum, S.Sumathi, S.N.Deepa, “Introduction to Fuzzy logic using MATLAB”, springer-verlag Berlin Heidelberg, 2007.
- J.Yen, R.Langary, “Fuzzy Logic”, prentice hall, 1998.
- R.Davies, “Machine Vision”, Morgan Kaufman, 2004.
- S. Mousavi, P. Moallem, M. Kavosh, A Novel Fuzzy Rule Based Algorithm to Detect Faces with Various Pose, 17th Iranian conference on Electrical engineering, Tehran, Iran, 2009.
Index Terms
Keywords