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Título:
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Finding faces in color images through primitive shape features
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Autor/a:
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Al, Murad; Orozco, Francisco J.; Amato, Ariel; Roca, Francesc Xavier; Gonzàlez, Jordi
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Otros autores:
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Institut de Robòtica i Informàtica Industrial |
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Abstract:
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Face detection is a primary step in many applications such as face recognition, video surveillance, human computer interface, and expression recognition. Many existing detection techniques suffer under scale variation, pose variation (frontal vs. profile), illumination changes, and complex backgrounds. In this paper, we present a robust and efficient method for face detection in color images. Skin color segmentation and edge detection are employed to separate all non-face regions from the candidate faces. Primitive shape features are then used to decide which of the candidate regions actually correspond to a face. The advantage of this method is its ability to achieve a high detection rate under varying conditions (pose, scale,...) with low computational cost. |
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Abstract:
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Peer Reviewed |
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Materia(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
-Computer vision
-face detection
-facial features
-skin color
-Visió per ordinador
-Classificació INSPEC::Pattern recognition::Computer vision |
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Derechos:
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Tipo de documento:
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Objeto de conferencia |
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Editor:
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s. n.
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