Feb. 9, 2024, 5:46 a.m. | Ao Luo Linxin Song Keisuke Nonaka Kyohei Unno Heming Sun Masayuki Goto Jiro Katto

cs.CV updates on arXiv.org arxiv.org

In recent years, the task of learned point cloud compression has gained prominence. An important type of point cloud, the spinning LiDAR point cloud, is generated by spinning LiDAR on vehicles. This process results in numerous circular shapes and azimuthal angle invariance features within the point clouds. However, these two features have been largely overlooked by previous methodologies. In this paper, we introduce a model-agnostic method called Spherical-Coordinate-based learned Point cloud compression (SCP), designed to leverage the aforementioned features fully. …

cloud compression cs.cv eess.iv features generated lidar process type vehicles

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