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A question about "KITTI experiment"
Thank you very much for your well organized code. May I ask how the KITTI experiment was conducted? Do you divide KITTI into multiple blocks, then perform upsampling separately?
yes, we divide the point cloud into blocks
yes, we divide the point cloud into blocks
Thank you. May I ask if point cloud sampling is not divided into object level and scene level? A scene point cloud (KITTI) can also be divided into multiple blocks and upsampled before merging, right? Compared to regular object level point clouds (ShapeNet), is point clouds like KITTI more challenging?
The main challenge is the generation of seed points, the proposed method is hard to process large-scale point cloud directly, thus we choose to divide it into small blocks.
The main challenge is the generation of seed points, the proposed method is hard to process large-scale point cloud directly, thus we choose to divide it into small blocks.
Thank you for your reply. The existing point cloud sampling methods seem to be experiments conducted at the object level. Is it meaningful to divide point cloud sampling into scene level and object level? Because a scene can also be divided into multiple point cloud blocks as input, and then merged.
Sorry, i have not seen any discuss about the divide method.
Sorry, i have not seen any discuss about the divide method.
Thank you.