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2-MANIFOLD RECONSTRUCTION FROM SPARSE VISUAL FEATURES

Abstract

The majority of methods for the automatic surface reconstruction of a scene from an image sequence have two steps: Structure-from-Motion and dense stereo. From the complexity viewpoint, it would be interesting to avoid dense stereo and to generate a surface directly from the sparse features reconstructed by SfM. This paper adds two contributions to our previous work on 2-manifold surface reconstruction from a sparse SfM point cloud: we quantitatively evaluate our results on standard multiview dataset and we integrate the reconstruction of image curves in the process.
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Dates and versions

hal-01635468 , version 1 (15-11-2017)

Identifiers

  • HAL Id : hal-01635468 , version 1

Cite

Vadim Litvinov, Shuda Yu, Maxime Lhuillier. 2-MANIFOLD RECONSTRUCTION FROM SPARSE VISUAL FEATURES. International Conference on 3D Imaging, Dec 2012, Liège, Belgium. ⟨hal-01635468⟩
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