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.
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© 2005 Springer-Verlag Berlin Heidelberg
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de Dios, J.J., García, N. (2005). Feature Extraction Used for Face Localization Based on Skin Color. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2005. Lecture Notes in Computer Science, vol 3656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11559573_125
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DOI: https://doi.org/10.1007/11559573_125
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29069-8
Online ISBN: 978-3-540-31938-2
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