Face Detection in Color Images using Color Features of Skin
Because of increasing demands for security in today-s
society and also due to paying much more attention to machine
vision, biometric researches, pattern recognition and data retrieval in
color images, face detection has got more application. In this article
we present a scientific approach for modeling human skin color, and
also offer an algorithm that tries to detect faces within color images
by combination of skin features and determined threshold in the
model. Proposed model is based on statistical data in different color
spaces. Offered algorithm, using some specified color threshold, first,
divides image pixels into two groups: skin pixel group and non-skin
pixel group and then based on some geometric features of face
decides which area belongs to face.
Two main results that we received from this research are as follow:
first, proposed model can be applied easily on different databases and
color spaces to establish proper threshold. Second, our algorithm can
adapt itself with runtime condition and its results demonstrate
desirable progress in comparison with similar cases.
[1] Ming-Hsuan Yang, "Detecting Faces in Images: A Survey", IEEE
Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No.
1, January 2002
[2] Yanwei Pang, Lei Zhang, Mingjing Li, Zhengkai Liu, and Weiying Ma,
"A Novel Gabor-LDA Based Face Recognition Method", Microsoft
Research Asia , 2003
[3] W. ZHAO, R. CHELLAPPA, P. J. PHILLIPS, A. ROSENFELD , "Face
Recognition: A Literature Survey" , ACM Computing Surveys, Vol. 35,
No. 4, pp. 399-458 , December 2003
[4] Sanjay Kr. Singh, D. S. Chauhan, Mayank Vatsa, Richa Singh, "A
Robust Skin Color Based Face Detection Algorithm", Tamkang Journal
of Science and Engineering, Vol. 6, No. 4, pp. 227-234, 2003
[5] J. Yang, W. Lu, A. Waibel, "Skin-color modeling and adaptation",
ACCV98, 1998.
[6] Vladimir Vezhnevets _ Vassili Sazonov Alla Andreeva, "A Survey on
Pixel-Based Skin Color Detection Techniques", Graphics and Media
Laboratory, Faculty of Computational Mathematics and Cybernetics,
Moscow State University,Moscow, Russia. 2003
[7] P. Kakumanu, S. Makrogiannis, N. Bourbakis , "A survey of skin-color
modeling and detection methods", Pattern Recognition 40,pp 1106 -
1122 , 2007
[8] D. Brown, I. Craw, J. Lewthwaite, "A SOM based approach to skin
detection with application in real time systems", BMVC01, 2001
[9] Son Lam Phung, Abdesselam Bouzerdoum, and Douglas Chai, "Skin
Segmentation using Color and Edge Information" , IEEE , ISSPA 2003
[10] K.W.Wong, K.M. Lam,W.C. Siu, "A robust scheme for live detection of
human faces in color images", Signal Process. Image Commun. Pp 103-
114, 2003
[11] K. Sobottka, I. Pitas, "Extraction of facial regions and features using
color and shape information", ICPR96, 1996.
[12] Saman Cooray and Noel O-Connor, "A Hybrid Technique for Face
Detection in Color Images", Centre for Digital Video Processing, Dublin
City University, Ireland, IEEE 2005
[13] Peter Peer, Franc Solina, "An Automatic Human Face Detection
Method",Computer Vision Laboratory, Faculty of Computer and
Information Science , 1998
[14] Nishant Shobhit, Naman Tyagi , "Face Detection in Color Images",
International Institute of Information Technology ,Gachibowli,
Hyderabad, India , September 2006
[15] Wolf Kienzle, G¨okhan Bakır, Matthias Franz and Bernhard Sch¨olkopf,
"Face DetectionÔÇöEfficient and Rank Deficient", Max-Planck-Institute
for Biological Cybernetics, Germany , 2003
[1] Ming-Hsuan Yang, "Detecting Faces in Images: A Survey", IEEE
Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No.
1, January 2002
[2] Yanwei Pang, Lei Zhang, Mingjing Li, Zhengkai Liu, and Weiying Ma,
"A Novel Gabor-LDA Based Face Recognition Method", Microsoft
Research Asia , 2003
[3] W. ZHAO, R. CHELLAPPA, P. J. PHILLIPS, A. ROSENFELD , "Face
Recognition: A Literature Survey" , ACM Computing Surveys, Vol. 35,
No. 4, pp. 399-458 , December 2003
[4] Sanjay Kr. Singh, D. S. Chauhan, Mayank Vatsa, Richa Singh, "A
Robust Skin Color Based Face Detection Algorithm", Tamkang Journal
of Science and Engineering, Vol. 6, No. 4, pp. 227-234, 2003
[5] J. Yang, W. Lu, A. Waibel, "Skin-color modeling and adaptation",
ACCV98, 1998.
[6] Vladimir Vezhnevets _ Vassili Sazonov Alla Andreeva, "A Survey on
Pixel-Based Skin Color Detection Techniques", Graphics and Media
Laboratory, Faculty of Computational Mathematics and Cybernetics,
Moscow State University,Moscow, Russia. 2003
[7] P. Kakumanu, S. Makrogiannis, N. Bourbakis , "A survey of skin-color
modeling and detection methods", Pattern Recognition 40,pp 1106 -
1122 , 2007
[8] D. Brown, I. Craw, J. Lewthwaite, "A SOM based approach to skin
detection with application in real time systems", BMVC01, 2001
[9] Son Lam Phung, Abdesselam Bouzerdoum, and Douglas Chai, "Skin
Segmentation using Color and Edge Information" , IEEE , ISSPA 2003
[10] K.W.Wong, K.M. Lam,W.C. Siu, "A robust scheme for live detection of
human faces in color images", Signal Process. Image Commun. Pp 103-
114, 2003
[11] K. Sobottka, I. Pitas, "Extraction of facial regions and features using
color and shape information", ICPR96, 1996.
[12] Saman Cooray and Noel O-Connor, "A Hybrid Technique for Face
Detection in Color Images", Centre for Digital Video Processing, Dublin
City University, Ireland, IEEE 2005
[13] Peter Peer, Franc Solina, "An Automatic Human Face Detection
Method",Computer Vision Laboratory, Faculty of Computer and
Information Science , 1998
[14] Nishant Shobhit, Naman Tyagi , "Face Detection in Color Images",
International Institute of Information Technology ,Gachibowli,
Hyderabad, India , September 2006
[15] Wolf Kienzle, G¨okhan Bakır, Matthias Franz and Bernhard Sch¨olkopf,
"Face DetectionÔÇöEfficient and Rank Deficient", Max-Planck-Institute
for Biological Cybernetics, Germany , 2003
@article{"International Journal of Information, Control and Computer Sciences:55712", author = "Fattah Alizadeh and Saeed Nalousi and Chiman Savari", title = "Face Detection in Color Images using Color Features of Skin", abstract = "Because of increasing demands for security in today-s
society and also due to paying much more attention to machine
vision, biometric researches, pattern recognition and data retrieval in
color images, face detection has got more application. In this article
we present a scientific approach for modeling human skin color, and
also offer an algorithm that tries to detect faces within color images
by combination of skin features and determined threshold in the
model. Proposed model is based on statistical data in different color
spaces. Offered algorithm, using some specified color threshold, first,
divides image pixels into two groups: skin pixel group and non-skin
pixel group and then based on some geometric features of face
decides which area belongs to face.
Two main results that we received from this research are as follow:
first, proposed model can be applied easily on different databases and
color spaces to establish proper threshold. Second, our algorithm can
adapt itself with runtime condition and its results demonstrate
desirable progress in comparison with similar cases.", keywords = "face detection, skin color modeling, color, colorfulimages, face recognition.", volume = "5", number = "4", pages = "362-7", }