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Your results, especially under real scans scanned by SR300, are very robust for different point cloud artifacts.
So I want to experiment self-sample with more real scans scanned by my own SR300, but I only scanned depth maps before based on SDK thus I am not very familiar with point cloud scanning.
My question is which software are used by Intel RealSense SR300 scanner to scan the point cloud? The software in the official SDK is not very convenient for object scanning. Besides, I have found itSeez3D, but it seems can only produce mesh but not point cloud.
Looking forward to your reply.
The text was updated successfully, but these errors were encountered:
Hi, so the point clouds from the SR300 sensor were obtained thanks to Guy, a good friend of mine.
He published the code for his project that used the SR300, which can be found here, together with a thorough README explaining how to use the program.
He also kindly pointed me to this script that should be a good reference for getting point clouds using python.
I hope that answers your question :)
Hi, thanks for your impressive work!
Your results, especially under real scans scanned by SR300, are very robust for different point cloud artifacts.
So I want to experiment self-sample with more real scans scanned by my own SR300, but I only scanned depth maps before based on SDK thus I am not very familiar with point cloud scanning.
My question is which software are used by Intel RealSense SR300 scanner to scan the point cloud? The software in the official SDK is not very convenient for object scanning. Besides, I have found
itSeez3D
, but it seems can only produce mesh but not point cloud.Looking forward to your reply.
The text was updated successfully, but these errors were encountered: