#Meshlab vs blender software
our plugins in the open source mesh processing software Blender.
#Meshlab vs blender install
The whole processing of the data can be performed both by the chosen open source and the commercial software. New Method Download and install the new (May 2021) release of Meshlab here and then. Based on the gained knowledge, a comparison among the used software is carried out. Hence, the generated result is a scene exported from Geomagic Control. On the other hand, the point cloud of Berlin is refined and transformed to mesh with exactly the same method, but because of data format problems concerning the RGB information of the point cloud, the texture could not be imported in Cinema 4D or Blender so far. Many scenes of the processed data and a fly-through video are rendered. The photographs of the site are stitched together and mapped on the virtual surfaces of the tomb. The processing of the acquired data is conducted in two different ways: on the one hand, the point cloud of Luxor is refined and wrapped to mesh using Geomagic Control, which is then imported in Cinema 4D and Blender.
Additionally, a chosen industrial area in Berlin Lichtenberg was measured, recording simultaneously color information and geometric information with Faro Focus 3D X laser scanners, 130 and 330. An already measured dataset including a point cloud and photos of the relative site is used as basis geometric and texture data. While Geomagic Control and Cinema 4D are commercial software, MeshLab and Blender are open source alternatives. Furthermore, the render engine plug-in Otoy Octane is used to render in real time the processed scenes in Cinema 4D and Blender. Point cloud and mesh processing software such as Geomagic Control and MeshLab, as well as 3D graphic software such as Cinema 4D and Blender are tested, evaluated and included in the workflow if appropriate. Additionally, animation methods are taken into consideration with the purpose of further increasing the readability and attractiveness of the presented model. The main task of this interdisciplinary project is to develop a general workflow which allows to obtain a photo-realistic visualization of a 3D model starting from a measured point cloud.
In order to ameliorate the communication between experts and with the general public, the attractiveness of the result, the visualization methods should be improved. I have posted the tutorial over at Assetto Corsa Mods. For the purpose of creating landscapes for racing games, I have made a tutorial. The resulting visualizations of point clouds can be esthetically interesting, but not realistic. CloudCompare LIDAR (Point cloud) to mesh tutorial. The utility of terrestrial laser scanner has increased in recent years in geodesy, but also in other disciplines (Schulz and Ingensand, 2004), (Barber and Mills, 2011). Students: Michele Martinoni and David Steinmann
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