Some scans, such as merged or SLAM scans, might consist of too many points. The upload limit is currently set to 750 million points per scan. For the best experience, we recommend using stationary (unmerged) scans, which won't exceed the limit. If you need to upload a scan larger than the limit, it is necessary to reduce the number of points before you upload it. You can achieve this in multiple ways. For our example, free software called CloudCompare is used.
Method 1 - Subsample the point cloud:
This will reduce the number of points of the entire scan.
Open the scan in CloudCompare.
Select the scan in the left DB Tree. In the Properties tab, you will find the number of points:
Press the "Subsample a point cloud" button:
For uniform spacing between the points, use the "Space" method. You might need to experience a little with the value (in meters) to find the correct one that will fit under the limit. This is the recommended option.
For fast subsampling, use the "Random" method. Set the "remaining points" value to be lower than the 750 million points limit. The points will be randomly removed.
Verify that the subsampled point cloud fits the limit and save it as a new file.
Method 2 - Cut the point cloud into smaller pieces:
All the points will be left intact.
Open the scan in CloudCompare.
Select the scan in the left DB Tree. In the Properties tab, you will find the number of points:
Press the "Segment" button.
Keep cutting the point cloud until each part of the scan fits under the upload limit.
Verify that all the segmented point clouds fit the limit and save them as a new E57 file.
Please note that you might need quite a powerful PC for opening and working with a very large scan.