Document Type : Research Paper
Author
Anbar University - College Of Islamic Science
Abstract
Recent years have attention commencement in the most of the facial animation applications therefore the proposed technic of the way to remove the effect of light from the image by a series of steps in accordance with the algorithm and human face detection.In this paper, a new method is displaying the removing effective light for human face detection. It contains two parts: lighting compensation and skin color model. First we offset the high light existing in human face images and removing high light and shadow, second depending on the mechanism of Skin color classification and the morphological segmentation is used to detect face(s) after removing the effect light. This part consists of face detection from during face segmentation and facial feature extraction.
Keywords
Main Subjects
- R. L. Hsu, M. Abdel-Mottaleb, A. K. Jain, “Face detection in color image”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 5, 2002, pp. 696-706.]
- D. Chai, and A. Bouzerdoum, “A Bayesian approach to skin color classification in YCbCr color space”, In: Proceedings of TENCON, Vol. 2, 2000, pp. 421-424.]
- Paul Viola and Michael J. Jones, “Rapid Object Detection Using A Boosted Cascade of Simple Features”, IEEE conf. on CVPR, vol. 1, 2001, pp. I- 511 – I-518.
- R. L. Hsu, M. Abdel-Mottaleb, A. K. Jain, “Face detection in color image”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 5, 2002, pp. 696-706.
- Wwst G, Anderson A, Bedwell J, Pratt J (2010). “Red diffuse light suppresses the accelerated perception of fear“. Psychol Sci 21:992-999
- M. S. Alam and A. Bal,“Improved multiple target traking via global motion compensation and optoelectronic correlation, ” IEEE Trans. Ind. Electron., vol. 45, no. I , PP.522-529, Feb. 2007
- Zonios G, Bykowski J, Kollias N. Skin melanin, hemoglobin, and light scattering properties can be quantitatively assessed in vivo using diffuse reflectance spectroscopy. J Invest Dermatol 2001;117(6): 1452-
- Jiandong He. Digital Image Processing. Xi’an: Xidian University Press. 2003, 7.
- K. Jain, M. N. Murty, P. J. Flynn, “Data clustering: a review”, ACM Computing Surveys (CSUR) archive, 1999,pp.264-323.
- Cai J, Goshtasby A, “Detection human faces in color images”, Image and Vision Computing, 1999, 18(1), pp. 63-75.
- J. Yang, W. Lu, A. Waibel, Skin-color modeling and adaptation, ACCV98, 1998.
- . R. Gordon and R.M. Rangayyan, “Feature enhancement of mammograms using fixed and adaptive neighborhoods,” Applied Optics, Vol. 23, No. 4, pp. 560–564, 2005.
- L. Alvarez, F. Guichard, P.L. Lions, and J.M. Morel, “Axioms and fundamental equations in image processing,” Arch. for Rational Mechanics, Vol. 123, pp. 199–257, 1993.
- M. Ciuc, “Traitement d’images multicomposantes: Application `a l’imagerie couleur et radar,” Ph.D. thesis, Universit´e de Savoie - Universit´e Polytechnique de Bucarest, Roumanie, 2002.
- H. Bae, S. Kim, B.-H. Wang, M. H.Lee, and F. Harashima, “Flame detection for the steam boiler using neural networks and image information in the Ulsan steam power generation plant, " IEEE Trans. Ind. Electron., vol. 53. No. 1, pp. 338-348. Feb. 2006.
- Jiandong He. Digital Image Processing. Xi an: Xidian University Press. 2003, pp.7-27.
)
