We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...
— A novel approach is presented which aims at building autonomously visual models of unknown objects, using a humanoid robot. Although good methods have been proposed for the spe...
Abstract. This paper presents a new approach to the problem of simultaneous location and segmentation of object in images. The main emphasis is done on the information provided by ...
This paper presents a low rate progressive 3D mesh compression scheme for simple genuszero 3D objects. The proposed scheme is based on signal representation using redundant expans...
Ivana Tosic, Pascal Frossard, Pierre Vandergheynst
—This paper presents an application of fuzzy logic theory to the reconstruction of solid models from engineering drawings. In engineering drawing, two-dimensional (2D) orthograph...