Abstract. In this paper we propose a supervised method for the segmentation of masses in mammographic images. The algorithm starts with a selected pixel inside the mass, which has ...
Recognition of three dimensional (3D) objects in noisy and cluttered scenes is a challenging problem in 3D computer vision. One approach that has been successful in past research i...
Andrea Frome, Daniel Huber, Ravi Kolluri, Thomas B...
In this paper, a level set method with shape model is proposed for image segmentation. Because the level set model proposed by Chan and Vese can not work well on some specific shap...
Based on high-level geometric knowledge, especially symmetry, imposed upon objects in images, we demonstrate in this paper how to edit images in terms of correct 3-D shape and rel...
A solution for part segmentation of 3D objects is proposed in this paper. The approach is targeted to identify salient visual parts of a mesh by determining its main protrusions a...
Gianni Antini, Stefano Berretti, Alberto Del Bimbo...