%0 Conference Proceedings
%T Facial Features Segmentation by Model-Based Snakes
%A Petia Radeva
%A Enric Marti
%B International Conference on Computing Analysis and Image Processing
%D 1995
%C Bellaterra (Barcelona), Spain
%F Petia Radeva1995
%O MILAB;IAM
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1633), last updated on Wed, 21 Jun 2017 13:11:54 +0200
%X Deformable models have recently been accepted as a standard technique to segment different features in facial images. Despite they give a good approximation of the salient features in a facial image, the resulting shapes of the segmentation process seem somewhat artificial with respect to the natural feature shapes. In this paper we show that active contour models (in particular, rubber snakes) give more close and natural representation of the detected feature shape. Besides, using snakes for facial segmentation frees us from the problem of determination of the numerous weigths of deformable models. Another advantage of rubber snakes is their reduced computational cost. Our experiments using rubber snakes for segmentation of facial snapshots have shown a significant improvement compared to deformable models.
%U http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.7495