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%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi@80/2007/09.18.21.35
%2 sid.inpe.br/sibgrapi@80/2007/09.18.21.35.32
%T A Probabilistic Approach to Skin Detection
%D 2007
%A Cardoso, Fernando H. B.,
%A Gomes, Herman M.,
%@affiliation Universidade Federal de Campina Grande
%@affiliation Universidade Federal de Campina Grande
%E Gonçalves, Luiz,
%E Wu, Shin Ting,
%B Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
%C Belo Horizonte, MG, Brazil
%8 7-10 Oct. 2007
%I Sociedade Brasileira de Computação
%J Porto Alegre
%S Proceedings
%K Probabilistic Skin Detection Learning Segmentation.
%X In this paper, we present an approach to skin detection in images, which labels each pixel as skin or nonskin based on a simple probabilistic model acquired from a database of manually labeled images. We tested several variations of this approach (using different color spaces and pre-processing techniques) and the achieved accuracy seemed quite encouraging with, a detection rate of 77,79%.
%@language en
%3 CG07_final.pdf


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