Segmentation with Volumetric Part Models

Segmentation with Volumetric Part Models. Volumetric models are top-level shape representation in computer vision applications. Volumetric models are especially suited for part-level representation on which manipulation, recognition and other reasoning can be based. The two most popular types of volumetric models in computer vision are generalized cylinders and superquadrics. This paper gives an overview of recovery and segmentation methods applying these two types of volumetric models. Methods of segmentation into parts are analyzed and advantageous properties of part-models discussed.