RE: Scalable Terrain Model From Point Cloud Data in Decartes

Mathieu St-pierre — Fri, 02 May 2014 17:31:01 GMT

Hi,

A scalable terrain model, as the name implied, is only for 2.5D data (i.e. : dataset for which each point has a unique x and y coordinates).

As far as I understand what you are trying to model is more 3D in nature. When triangulating 3D data points which have similar x and y coordinates will be filtered so that only 1 of those points are kept for triangulation purpose, which could lead to spike.

So I think you should use instead the MicroStation meshing tool, with the drawback that the number of points that can be handle in a mesh is limited.

Thanks,

Mathieu

RE: Scalable Terrain Model From Point Cloud Data in Decartes

MichaelGilham — Fri, 02 May 2014 01:33:12 GMT

Have you investigated the data to see if, where there are spikes in the triangles, there are point cloud points?

That's' step #1.

Whenever a triangulation engine is attempting to triangulate data that on vertical or near vertical surfaces, there is the chance of this type of result. So take a close look at the point data and the resulting triangles and see if they match. If they do, then its a data related issue.