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Abstract :
[en] 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.
