Apologies for the late answer Dennis.
Until now the NavVis IndoorViewer is not touching 3rd party scans at all since we wanted to ensure you make exactly the same precision and data that you uploaded available to your clients.
But if I understand the comments from the forum correctly, there is a need to convert the bulky and heavy scan data from TLS into a more lightweight format as long as it reflects (almost) the same precision? How important is that to you (to better understand our development priorities)?
On a separate note: We have decided to sponsor this forum and now have also a dedicated section next to BLK2GO and GeoSLAM.
Also I will try to post a few more point clouds captured with M6 here. I hope that the assumption that mobile mapping means low data quality is wrong:
NavVis M6 point cloud data quality
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Re: NavVis M6 point cloud data quality
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Re: NavVis M6 point cloud data quality
My M6 hotel scans processed on Ryzen 3990X, 256GB RAM using Blender v2.82 without processing, imported directly from NavVIS PLY format after post-processing on 5mm grid.
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Re: NavVis M6 point cloud data quality
Here some additional M6 point clouds from a recent project.
I hae been trying to learn Blender, but the tools that I have for visualizing point clouds are limited to 120Mpts. I have been trying to import a project with 400Mpts and 5 levels of floors. I tried to keep the core of 200Mpts (25% of the total), but needed to decimate 100Mpts (50%) to achieve the size to import. So unfortunately what you are seeing in these two screenshots are 50% of the point clouds were randomly removed by CloudCompare. These point clouds were cropped in 3D from the original IndoorViewer point clouds and then exported in E57 into CloudCompare to be converted to PLY and imported directly into Blender 2.8.2 without any processing, but only visualization.
I hae been trying to learn Blender, but the tools that I have for visualizing point clouds are limited to 120Mpts. I have been trying to import a project with 400Mpts and 5 levels of floors. I tried to keep the core of 200Mpts (25% of the total), but needed to decimate 100Mpts (50%) to achieve the size to import. So unfortunately what you are seeing in these two screenshots are 50% of the point clouds were randomly removed by CloudCompare. These point clouds were cropped in 3D from the original IndoorViewer point clouds and then exported in E57 into CloudCompare to be converted to PLY and imported directly into Blender 2.8.2 without any processing, but only visualization.
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Re: NavVis M6 point cloud data quality
Again, nice scans Dennis! Try to do that with any other mobile scanner
Dennis do you want to tell Marek about this and we could do a joint case study with our marketing team?
Dennis do you want to tell Marek about this and we could do a joint case study with our marketing team?
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Re: NavVis M6 point cloud data quality
Our team has just release a small video explaining the usage of M6 in detail.
Feel free to comment here or post questions
youtu.be/dyPmdHLfkAQ
P.S. Looking good Veit
Feel free to comment here or post questions
youtu.be/dyPmdHLfkAQ
P.S. Looking good Veit