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

Nader Salman 1, * Mariette Yvinec 1
* Auteur correspondant
1 GEOMETRICA - Geometric computing
CRISAM - Inria Sophia Antipolis - Méditerranée , INRIA Saclay - Ile de France
Abstract : 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.
Mots-clés : Delaunay refinement Multiple-views Restricted Delaunay triangulation Surface reconstruction
Type de document :
Article dans des revues
International Journal of Virtual Reality, IPI Press, 2010, The International Journal of Virtual Reality, Volume 9 (Number 1), pp.19-26
https://hal.inria.fr/inria-00503837
Contributeur : Nader Salman <>
Soumis le : mercredi 21 juillet 2010 - 10:18:04
Dernière modification le : lundi 5 octobre 2015 - 17:00:53

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Nader Salman, Mariette Yvinec. Surface Reconstruction from Multi-View Stereo of Large-Scale Outdoor Scenes.. International Journal of Virtual Reality, IPI Press, 2010, The International Journal of Virtual Reality, Volume 9 (Number 1), pp.19-26. <inria-00503837>

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