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Communication Dans Un Congrès Année : 2023

A Shape-from-silhouette Method for 3D-reconstruction of a Convex Polyhedron

Résumé

We present a pipeline to recover precisely the geometry of a convex polyhedral object from multiple views under circular motion. It is based on the extraction of visible polyhedron vertices from silhouette images and matching across a sequence of images. Compared to standard structure-from-motion pipelines, the method is well suited to the 3D-reconstruction of low-textured and non-Lambertian materials. Experiments on synthetic and real datasets show the efficacy of the proposed framework.
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Dates et versions

hal-04161936 , version 1 (13-07-2023)

Identifiants

Citer

Baptiste Brument, Lilian Calvet, Robin Bruneau, Jean Mélou, Simone Gasparini, et al.. A Shape-from-silhouette Method for 3D-reconstruction of a Convex Polyhedron. 16th International Conference on Quality Control By Artificial Vision 2023 (QCAV 2023), Jun 2023, Albi, France. pp.1274918, ⟨10.1117/12.3000368⟩. ⟨hal-04161936⟩
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