We propose a novel approach for shape-based segmentation based on a specially designed level set function format. This format permits us to better control the process of object re...
We present a novel variational approach to top-down image segmentation, which accounts for significant projective transformations between a single prior image and the image to be s...
We propose a variational framework for the integration of multiple competing shape priors into level set based segmentation schemes. By optimizing an appropriate cost functional wi...
Daniel Cremers, Nir A. Sochen, Christoph Schnö...
Abstract. We consider the problem of estimating the shape and radiance of a scene from a calibrated set of images under the assumption that the scene is Lambertian and its radiance...
Abstract. We propose a variational framework for the integration multiple competing shape priors into level set based segmentation schemes. By optimizing an appropriate cost functi...
Daniel Cremers, Nir A. Sochen, Christoph Schnö...