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Master Thesis

Vers de nouvelles perspectives lasergrammétriques : optimisation et automatisation de la chaîne de production de modèles 3D

Abstract : 3D Laser scanner are very fast acquisition systems, but the huge amount of data collected demands processing optimization and automation. Segmentation is an essential step in the production chain of point clouds processing. It defines the pertinence and accuracy of a future model reconstruction, as well as a high level analysis of any scene. Its goal is to extract from a large 3D dataset different groups of points that share a logical link to wisely consider them as one entity. The semi-automatic method developed extract shapes for an archeological study on medieval construction out of a point cloud acquired with a 3D Scanner laser, representing the cathedral Saint-Paul of Liège (Belgium). We obtain a segmented point cloud that represents elegantly the scene and make it a base for a worthy analysis and reconstruction. The development of a virtual reality application through a WebGL development to promote cultural heritage transcend what exist nowadays, and become a new way of transmitting history to future generations.
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-00941990
Contributor : Cnam - Service Commun de la Documentation - Esgt <>
Submitted on : Tuesday, February 4, 2014 - 3:38:28 PM
Last modification on : Friday, October 23, 2020 - 4:33:15 PM
Long-term archiving on: : Sunday, April 9, 2017 - 8:40:25 AM

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  • HAL Id : dumas-00941990, version 1

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Florent Poux. Vers de nouvelles perspectives lasergrammétriques : optimisation et automatisation de la chaîne de production de modèles 3D. Sciences de l'ingénieur [physics]. 2013. ⟨dumas-00941990⟩

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