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. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Casiraghi, E., Lanzarotti, R., & Lipori, G. (2003). A face detection system based on color and support vector machines. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2859, 113–120. https://doi.org/10.1007/978-3-540-45216-4_12
Mendeley helps you to discover research relevant for your work.