Multithreaded algorithms for lossless intra compression of point cloud geometry based on the silhouette 3d coder
2023 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP(2023)
摘要
This paper evaluates a new implementation of our Silhouette 3D (S3D) coder for lossless compression of point cloud geometry, which yields up to 18% improvement on compression efficiency over our previously reported results. With this it offers competitive performance compared to the state-of-the-art MPEG G-PCC, outperforming it for some sequences. Additionally, we propose and analyze two multithreaded algorithms based on the S3D coder, namely S3D-Subtree (S3D-S) and S3D-Subtree + TopTree (S3D-ST). We evaluate the performance of these algorithms from 2 to 128 threads so that the user can select the best tradeoff for the desired application. As expected, parallelization decreases compression efficiency, but both S3D-S and S3D-ST show minor penalties for a small number of threads, and S3D-ST offers better compression efficiency when a larger number is used.
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关键词
point clouds,lossless compression,geometry coding,parallelization,multithread algorithms
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