Abstract. Developer-supplied data structure specifications are important to shape analyses, as they tell the analysis what information should be tracked in order to obtain the des...
Bor-Yuh Evan Chang, Xavier Rival, George C. Necula
We propose a new approach to compute non-linear, intrinsic shape statistics and to incorporate them into a shape prior for an image segmentation task. Given a sample set of contou...
Guillaume Charpiat, Olivier D. Faugeras, Renaud Ke...
Shape deformation refers to the continuous change of one geometric object to another. We develop a software tool for planning, analyzing, and visualizing deformations between two ...
Siu-Wing Cheng, Herbert Edelsbrunner, Ping Fu, Ka-...
Abstract. We describe a flexible object recognition and modelling system (FORMS) which represents and recognizes animate objects from their silhouettes. This consists of a model fo...
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...