A novel, two stage, neural architecture for the segmentation of range data and their modeling with undeformed superquadrics is presented. The system is composed by two distinct neu...
We describe results on combining depth information from a laser range-finder and color and texture image cues to segment ill-structured dirt, gravel, and asphalt roads as input t...
Peer-to-peer computing paradigm is emerging as a scalable and robust model for sharing media objects. In this paper, we propose an architecture and describe the associated algorit...
This paper presents a framework for integrating multiple sensory data, sparse range data and dense depth maps from shape from shading in order to improve the 3D reconstruction of ...
Mostafa G.-H. Mostafa, Sameh M. Yamany, Aly A. Far...
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...