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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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https://hal.archives-ouvertes.fr/hal-01635468
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  • HAL Id : hal-01635468, version 1

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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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