—Object-class independent motion estimation from range data is a challenging task. We present here a novel approach that is able to derive a dense motion field based on range im...
—This paper describes a probabilistic technique for the coupled reconstruction and restoration of underwater acoustic images. The technique is founded on the physics of the image...
Vittorio Murino, Andrea Trucco, Carlo S. Regazzoni
This paper proposes a technique for object recognition using superquadric built models. Superquadrics, which are three-dimensional models suitable for part-level representation of...
Segmentation of range images using superquadric entities has been pointed out by a number of researchers as a powerful approach towards object recognition. Problems exist in findi...
Previous works on range image segmentation concentrate on surface patches that can be well represented by certain mathematical functions. In this paper we consider the more qualit...
This paper presents a method for the registration of range image pairs that were captured from different locations. The proposed approach assumes that a common 3D plane is least v...
Joachim Bauer, Konrad F. Karner, Andreas Klaus, Ro...
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 practical object recognition system which consists of two functional modules. The first is object extraction module using a range image, and the second...
Analysis and reconstruction of range images usually focuses on complex objects completely contained in the field of view; little attention has been devoted so far to the reconstru...
Abstract. In this paper an agent-based segmentation approach is presented and discussed. The approach consists in the utilization of autonomous agents for the segmentation of a ran...