Feature extraction used for face localization based on skin color

Authors:
Juan José de Dios;Narciso García
Affiliations:
E. U. Politécnica, Universidad de Castilla-La Mancha, Cuenca, Spain;E.T.S. Ing. Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain
Venue:
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Year:
2005

Citing 3
Cited 0

Comparative Performance of Different Skin Chrominance Models and Chrominance Spaces for the Automatic Detection of Human Faces in Color Images

FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Detecting Faces in Images: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparative Performance of Different Skin Chrominance Models and Chrominance Spaces for the Automatic Detection of Human Faces in Color Images

FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000

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Abstract

This paper presents a morphological- and color-based method for face localization in color images. Basically, it uses a skin-color segmentation technique in a novel color space, YCg'Cr', and the application of the shape information and the location of the facial features to the definition of a face model. First, a color-based segmentation technique detects the skin regions inside the image, and then, a combination of morphological operators and algorithms is used for completing the segmentation masks. At last, the feature extraction lets define a model based on the best-fit ellipse determined by the position of the eyes and mouth inside the image. Finally, the detection mask based on this ellipse is used for locating the face in the image under test.