Parametric approach for prior knowledge-base 3D reconstruction

Knowledge Base Approach for 3D Objects Detection in Point Clouds Using 3D Processing and Specialists Knowledge

This paper presents a knowledge-based detection of objects approach using the OWL ontology language, the Semantic Web Rule Language, and 3D processing built-ins aiming at combining geometrical analysis of 3D point clouds and specialist’s knowledge. Here, we share our experience regarding the creation of 3D semantic facility model out of unorganized 3D point clouds. Thus, a knowledge-based detec...

Iterative image reconstruction using prior knowledge.

A method is proposed to reconstruct signals from incomplete data. The method, which can be interpreted both as a discrete implementation of the so-called prior discrete Fourier transform (PDFT) spectral estimation technique and as a variant of the algebraic reconstruction technique, allows one to incorporate prior information about the reconstructed signal to improve the resolution of the signa...

A Symmetry Prior for Convex Variational 3D Reconstruction

A structural approach for 3D building reconstruction

In this report, we present a 3D building reconstruction method based on a structural approach. It consists in reconstructing buildings by assembling simple urban structures extracted from a grammar of 3D parametric models. This method is composed of two stages. The rst one, which has already been tackled in previous works, consists in extracting the building footprints through con gurations of ...

A Robust Approach for 3D Cars Reconstruction

Computing high quality 3D models from multi-view stereo reconstruction is an active topic as can be seen in a recent review [15]. Most approaches make the strong assumption that the surface is Lambertian. In the case of a car, this hypothesis is not satisfied. Cars contain transparent parts and metallic surfaces that are highly reflective. To face these difficulties, we propose an approach to r...