Note that the picture above just shows the geometry of the mesh, it is also possible to import the textures but we were more interested in the geometry at this point. Unfortunately, it turned out that the results have a limited amount of meshes and the result was not sufficient for our use case: We planned to start with Meshlab but it turned out that it might be easier to open the customer’s data in his orginal software Faro Scene.įaro Scene (apart from many other features) has a built-in mechanism of creating meshes from scanned point clouds which we thought might come in handy. the open source WebGL based point cloud viewer PotreeĪnd I guess there will be a few more after a bit of research.again an open source software called Meshlab.Poisson Surface Reconstruction as an alternative conversion algorithm.an open source Delauney Mesh Converter called cloudcompare.3DReshaper, a benchmark for working with point clouds but too expensive for a startup.Agisoft Metashape which is available as a 30 days trial.There are several approaches to work with point clouds as suggested by Marten Krull ( ): Our testing data contained 500.000 points for a small production site of our customer. ![]() Since our focus customers require actual rooms as VR environments, we need to be able to digest and prepare point clouds with sometimes billions of points as Unity scenes. Finding innovators for VR meetings Converting point clouds for Unity Integrating collaboration tools into Virtual Realityĩ. market overview and practical experienceĨ. If you want to catch up with earlier episodes of this blog article series, here is a link collection:Ĥ.
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