Comparison of Hausdorff distances performances in dissimilarity measurements for silhouette discrimination

We have recently proposed an original approach for the statistical segmentation of an object, based on active contours. In this paper, we propose a comparison of several Hausdorff distances performances in dissimilarity measurements for silhouette discrimination. For this purpose, we apply on the silhouettes of a dataset six kinds of perturbations that can occur with an active contour technique and we compute the good discrimination rate versus the reject rate for each distance. We also propose a simple method to accelerate the calculus of the Hausdorff distances.