Surface Reconstruction from Multi-View Stereo of Large-Scale Outdoor Scenes
Autor: | Nader Salman, Mariette Yvinec |
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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: |
Multiple-views
0209 industrial biotechnology Scale (ratio) Computer science Point cloud ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Delaunay refinement [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG] 020901 industrial engineering & automation Computer graphics (images) 0202 electrical engineering electronic engineering information engineering Computer vision Surface triangulation ComputingMethodologies_COMPUTERGRAPHICS Constrained Delaunay triangulation business.industry Delaunay triangulation Restricted Delaunay triangulation Bowyer–Watson algorithm Surface reconstruction 020201 artificial intelligence & image processing Artificial intelligence business Ruppert's algorithm |
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 |
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