2020
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression
CVPR 2020oral
We present a novel deep compression algorithm to reduce the memory footprint of LiDAR point clouds. Our method exploits the sparsity and structural redundancy between points to reduce the bitrate. Towards this goal, we first encode the point cloud into an octree, a data-efficient structure suitable…