Large-Scale 3D Point Cloud Compression Using Adaptive Radial Distance Prediction in Hybrid Coordinate Domains

Author:

Jae-Kyun Ahn ,Kyu-Yul Lee ,Jae-Young Sim ,Chang-Su Kim

Funder

Basic Science Research Program through the National Research Foundation of Korea NRF funded by the Ministry of Education

Global Frontier RaD Program on Human-centered Interaction for Coexistence funded by the NRF grant funded by the Korean Government MSIP

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Cited by 30 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. 3-D Point Cloud Attribute Compression With -Laplacian Embedding Graph Dictionary Learning;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-02

2. Lossless SIMD Compression of LiDAR Range and Attribute Scan Sequences;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

3. Point cloud compression;Immersive Video Technologies;2023

4. FLiCR: A Fast and Lightweight LiDAR Point Cloud Compression Based on Lossy RI;2022 IEEE/ACM 7th Symposium on Edge Computing (SEC);2022-12

5. A digital hologram-based encryption and compression method for 3D models;Frontiers in Physics;2022-11-16

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