Multithreaded Algorithms for Lossless Intra Compression of Point Cloud Geometry Based on the Silhouette 3d Coder

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...

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Veröffentlicht in:2023 IEEE International Conference on Image Processing (ICIP) S. 1880 - 1884
Hauptverfasser: Komatsu, Otho T., Medeiros, Edil, Alves, Lucas M., Peixoto, Eduardo
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 08.10.2023
Schlagworte:
Codecs
Geometry
geometry coding
Image coding
Instruction sets
lossless compression
multithread algorithms
parallelization
Point cloud compression
point clouds
Three-dimensional displays
Transform coding
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Zusammenfassung: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.
DOI:10.1109/ICIP49359.2023.10222713