High Resolution Surface Reconstruction from Overlapping Multiple-Views - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2009

High Resolution Surface Reconstruction from Overlapping Multiple-Views

Nader Salman
  • Fonction : Auteur correspondant
  • PersonId : 862778

Connectez-vous pour contacter l'auteur
Mariette Yvinec

Résumé

Extracting a computer model of a real scene from a sequence of views, is one of the most challenging and fundamental problems in computer vision. Stereo vision algorithms allow us to extract from the images a sparse 3D point cloud on the scene surfaces. However, computing an accurate mesh of the scene based on such poor quality data points (noise, sparsity) is very difficult. Here we describe a simple yet original approach that uses both the stereo vision extracted point cloud and the calibrated images. Our method is a three-stage process in which the first stage merges, filters and smoothes the input 3D points. The second stage builds for each calibrated image a triangular depth-map and fuses the set of depth-maps into a triangle soup that minimize violations of size and visibility constraints. Finally, a mesh is computed from the triangle soup using a reconstruction method that combines restricted Delaunay triangulation and Delaunay refinement.
Fichier principal
Vignette du fichier
p104-salman.pdf (285.74 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

inria-00410980 , version 1 (25-08-2009)

Identifiants

Citer

Nader Salman, Mariette Yvinec. High Resolution Surface Reconstruction from Overlapping Multiple-Views. SoCG 2009 - Twenty-fifth annual symposium on Computational geometry, Jun 2009, Aarhus, Netherlands. pp.104-105, ⟨10.1145/1542362.1542386⟩. ⟨inria-00410980⟩
461 Consultations
450 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More