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

Nader Salman 1, * Mariette Yvinec 1
* Corresponding author
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.
Document type :
Journal articles
Complete list of metadatas

Cited literature [31 references]  Display  Hide  Download

https://hal.inria.fr/inria-00503837
Contributor : Nader Salman <>
Submitted on : Wednesday, July 21, 2010 - 10:18:04 AM
Last modification on : Thursday, February 7, 2019 - 2:30:56 PM
Long-term archiving on: Friday, October 22, 2010 - 3:38:14 PM

Files

IJVR_Salman_final.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00503837, version 1

Collections

Citation

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⟩

Share

Metrics

Record views

612

Files downloads

732