Consistent 3D Model Reconstruction From Point Cloud Data Using A Priori CAD Models

Abstract : We address the reconstruction of 3D CAD models from point cloud data acquired in industrial environments, using a pre-existing 3D model as an initial estimate of the scene to be processed. Indeed, this prior knowledge can be used to drive the reconstruction so as to generate an accurate 3D model matching the point cloud. We more particularly focus our work on the cylindrical parts of the 3D models. We propose to state the problem in a probabilistic framework: we have to search for the 3D model which maximizes some probability taking several constraints into account, such as the relevancy with respect to the point cloud or the a priori 3D model, and the consistency of the reconstructed model. The resulting optimization problem can then be handled using a stochastic exploration of the solution space, based on the random insertion of elements in the configuration under construction, coupled with a greedy management of the conflicts. We present some results obtained on industrial data with the proposed approach.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01354490
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Submitted on : Thursday, August 18, 2016 - 7:29:48 PM
Last modification on : Wednesday, October 31, 2018 - 12:24:25 PM

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  • HAL Id : hal-01354490, version 1

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Aurélien Bey, Raphaëlle Chaine, Raphaël Marc, Guillaume Thibault, Samir Akkouche. Consistent 3D Model Reconstruction From Point Cloud Data Using A Priori CAD Models. Laser Scanning 2011, Aug 2011, Calgary, Canada. pp.289-294. ⟨hal-01354490⟩

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