Abstract
We describe a face detection algorithm, which characterizes and localizes skin regions and eyes in 2D images using color information and Support Vector Machine. The method is scale-independent, works on images of either frontal, rotated faces, with a single person or group of people, and does not require any manual setting or operator intervention. The algorithm can be used in face image database management systems both as a first step of a person identification, and to discriminate the images on the basis of the number of faces in them.
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Casiraghi, E., Lanzarotti, R., Lipori, G. (2003). A Face Detection System Based on Color and Support Vector Machines. In: Apolloni, B., Marinaro, M., Tagliaferri, R. (eds) Neural Nets. WIRN 2003. Lecture Notes in Computer Science, vol 2859. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45216-4_12
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DOI: https://doi.org/10.1007/978-3-540-45216-4_12
Publisher Name: Springer, Berlin, Heidelberg
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