Rééchantillonnage des nuages de points gigantesques produits lors de la numérisation 3D de monuments

Abstract : We present an original method for resampling point clouds provided by aggregation of LiDAR acquisitions, using a Poisson-disk sampling. It is based on a set of local graphs connected together to get a global representation of the acquired site. This approach allows us to improve the quality of gigantic 3D scans such as the ones generated for cultural heritage preservation, even if the initial volume of data largely exceed the memory capacity of the machine on which those processings are performed.
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Submitted on : Monday, June 17, 2019 - 5:50:53 PM
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Arnaud Bletterer, Frédéric Payan, Marc Antonini. Rééchantillonnage des nuages de points gigantesques produits lors de la numérisation 3D de monuments. Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI), Aug 2019, Lille, France. ⟨hal-02147754v2⟩

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