Exploiting Information Geometry to Improve the Convergence of Nonparametric Active Contours

This paper presents a fast converging Riemannian steepest descent method for nonparametric statistical active contour models, with application to image segmentation. Unlike other fast algorithms, the proposed method is general and can be applied to any statistical active contour model from the expon...

Ausführliche Beschreibung