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I'm working with your implementation of UV position maps for 3D point clouds. I understand the process involves mapping 3D points to 2D UV space, then encoding 3D position data for each UV location.
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I have point clouds in the form of torch.Size([8, 16, 512, 3]) how can I use V3 to Process my point clouds
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Hi,
I've been facing an issue while trying to convert the depth AHAT stream to point cloud representation (using the StreamConverter/save_pclouds.py). While processing, save_pclouds.py returns the e…
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I have a pcd file with points. I want to visualize point clouds from the points in the pcd file. Please let me know if anyone can help.
Thank you
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Hi, I'm attempting to use this library to align some point clouds. On some clouds, for reasons I've yet to identify, I'm getting crashes in the build_tree_for_Range function, particularly in
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Running with ros1 can receive the point cloud, but all the point clouds are projected on a plane, it seems that the vertical Angle information of the point cloud can not be received, may I ask why thi…
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DCP focuses on finding Rigid Transformations given source and target point cloud. DCP is trained by randomly applying rotation and transformation on the source point cloud to generate a target point c…
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This is a very good job. i 'm sorry. As far as I know, implicit representation requires conditions such as images, point clouds, voxels, etc. However, after reading the paper, I have not determined wh…
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I want to implement something similar, as done by google, i.e. ARcore, namely on the basis of openMVG to create various point clouds, which will be original anchors. At the moment, I am faced with the…