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Conference papers
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.
Cited literature [16 references]
https://hal.archives-ouvertes.fr/hal-01635468
Contributor : Maxime Lhuillier <>
Submitted on : Wednesday, November 15, 2017 - 11:18:58 AM
Last modification on : Wednesday, April 21, 2021 - 8:34:03 AM
Long-term archiving on: : Friday, February 16, 2018 - 1:27:53 PM
Contributor : Maxime Lhuillier <>
Submitted on : Wednesday, November 15, 2017 - 11:18:58 AM
Last modification on : Wednesday, April 21, 2021 - 8:34:03 AM
Long-term archiving on: : Friday, February 16, 2018 - 1:27:53 PM
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