Skip to Main content Skip to Navigation
Journal articles

Surface Reconstruction from Multi-View Stereo

Nader Salman 1 Mariette yvinec 1 
1 GEOMETRICA - Geometric computing
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Saclay - Ile de France
Abstract : We describe 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 scenes including the dense multi-view benchmark proposed by Strecha et al. Our results compare favorably with the current state of the art.
Complete list of metadata

Cited literature [23 references]  Display  Hide  Download
Contributor : Nader Salman Connect in order to contact the contributor
Submitted on : Tuesday, October 6, 2009 - 3:27:42 PM
Last modification on : Thursday, January 20, 2022 - 5:28:22 PM
Long-term archiving on: : Tuesday, October 16, 2012 - 11:50:58 AM


Files produced by the author(s)


  • HAL Id : inria-00422344, version 1



Nader Salman, Mariette yvinec. Surface Reconstruction from Multi-View Stereo. Lecture Notes in Computer Science, Springer, 2009, The Ninth Asian Conference on Computer Vision. ⟨inria-00422344⟩



Record views


Files downloads