There are two main topics in this paper: (i) Vietnamese words are recognized and sentences are segmented into words by using probabilistic models; (ii) the optimum probabilistic mo...
In this paper we address the problem of extracting geometric models from low contrast volumetric images, given a template or reference shape of that model. We proceed by deforming...
This paper describes a new technique for free-form object segmentation from a single arbitrary-viewed range image. The aim is to derive a surface description of objects that may va...
This paper focuses on a fast and effective model for range images segmentation and modeling. The first phase is based on the well-known Simoncelli's steerable pyramid, useful...
Vittoria Bruni, Domenico Vitulano, Umberto Manisca...
In this paper, we propose a novel method to localize (or track) a foreground object and segment the foreground object from the surrounding background with occlusions for a moving ...