Closed Havertz7K closed 2 months ago
Hi @Havertz7K The section of code in pointcloud-stitching.cpp at the link below limits the number of cameras that can be used to 2. It may be worth changing '2' to '6' to see what happens.
In regard to other multicam pointcloud stitching solutions, the CONIX Center at Canegie Mellon created a C++ multi-camera pointcloud stitching system that could stitch up to twenty RealSense cameras.
https://github.com/conix-center/pointcloud_stitching
An Intel multicam demo in January 2018 took the approach of capturing with 4 separate PCs whose D435 cameras (one on each PC) were hardware synched, and sending the point cloud data to a 5th PC for combining and then doing post processing with the help of Unity.
https://www.intelrealsense.com/intel-realsense-volumetric-capture/
The link below describes how to use ROS1 to access three cameras on more than one PC. This method would likely be expandable to more than three cameras.
https://github.com/IntelRealSense/realsense-ros/wiki/showcase-of-using-3-cameras-in-2-machines
Hi @Havertz7K Do you require further assistance with this case, please? Thanks!
No,thanks
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Hi @Havertz7K Do you require further assistance with this case, please? Thanks!
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Okay, thanks very much for the update!
I have seen C++programs that achieve this goal, but I don't seem to have found a Python program that implements similar functionality. I look forward to your help.
@zhanglepy One method of pointcloud stitching for Python would be using an affine transform via the SDK instruction rs.rs2.transform_point_to_point
to set multiple individual pointclouds to have the same position and rotation in 3D space - please see https://github.com/IntelRealSense/librealsense/issues/5583#issuecomment-570805578
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Issue Description
I've tested pointcloud-stitching demo, and got a proper result. Now we need to stitch the views from six realsense D455f cameras, but now the demo only supports two. So is there any solutions to the problem? Thanks.