Rate-Distortion Optimized Tree-Structured Point-Lattice Vector Quantization for Compression of 3D Point Clouds Geometry-Reference-Cited by-同舟云学术

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Rate-Distortion Optimized Tree-Structured Point-Lattice Vector Quantization for Compression of 3D Point Clouds Geometry

Published:2019-09 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Conference on Image Processing (ICIP)
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Author:

Filali Amira,Ricordel Vincent,Normand Nicolas,Hamidouche Wassim

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8791230/8799366/08803403.pdf?arnumber=8803403

Cited by 7 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. Image compression based on vector quantization and optimized code-book design using Genetic Mating Influenced Slime Mould (GMISM) algorithm;Web Intelligence;2023-09-20

2. Metaheuristics with Vector Quantization Enabled Codebook Compression Model for Secure Industrial Embedded Environment;Intelligent Automation & Soft Computing;2023

3. A Hybrid Tree Point Cloud Compression Method for Complex City Scenes;2022 4th International Conference on Natural Language Processing (ICNLP);2022-03

4. Block size selection in rate-constrained geometry based point cloud compression;Multimedia Tools and Applications;2021-10-31

5. An Adaptive Feature-based Quantization Algorithm for Point Cloud Compression;2021 Picture Coding Symposium (PCS);2021-06

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