Surface Reconstruction from Multi-View Stereo of Large-Scale Outdoor Scenes

Autor: Nader Salman, Mariette Yvinec
Přispěvatelé: Geometric computing (GEOMETRICA), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria), ANR: GYROVIZ,GYROVIZ, ANR-07-RIAM-0013,GYROVIZ,Modélisation Automatique 3D Temps réel Robuste à partir d'Images Localisées(2007)
Jazyk: angličtina
Rok vydání: 2010
Předmět:
Zdroj: International Journal of Virtual Reality
International Journal of Virtual Reality, IPI Press, 2010, The International Journal of Virtual Reality, Volume 9 (Number 1), pp.19-26
International Journal of Virtual Reality, 2010, The International Journal of Virtual Reality, Volume 9 (Number 1), pp.19-26
Popis: Special issue for ACCV09; International audience; This article describes an original method to reconstruct a 3D scene from a sequence of images. Our approach uses both the dense 3D point cloud extracted by multi-view stereovision and the calibrated images. It combines depth-maps construction in the image planes with surface reconstruction through restricted Delaunay triangulation. The method may handle very large scale outdoor scenes. Its accuracy has been tested on numerous outdoor scenes including the dense multi-view benchmark proposed by Strecha et al. Our results show that the proposed method compares favorably with the current state of the art.
Databáze: OpenAIRE