Error-bounded Point Cloud Compression Using Truncated Octahedron Quantization
Summary: Develops a rate–distortion theory for dense scientific point clouds and XnYZip, using provably optimal truncated-octahedron quantization. Space-filling-curve locality and run-length encoding yield up to 3× compression, 2.2× faster compression, and 1.2× faster decompression. (summarized by gpt-5.6-luna on Aug 28 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Youyuan Liu (Temple University)
- 2. Longtao Zhang (Florida State University)
- 3. Ruoyu Li (Florida State University)
- 4. Bo Jiang (Temple University)
- 5. Taolue Yang (Temple University)
- 6. Kai Zhao (Florida State University)
- 7. Sheng Di (Argonne National Laboratory)
- 8. Eduard Dragut (Temple University)
- 9. Sian Jin (Temple University)
BibTeX Citation
@article{liu_vldb26,
title = {{Error-bounded Point Cloud Compression Using Truncated Octahedron Quantization}},
author = {Liu, Youyuan and Zhang, Longtao and Li, Ruoyu and Jiang, Bo and Yang, Taolue and Zhao, Kai and Di, Sheng and Dragut, Eduard and Jin, Sian},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {11},
pages = {3105--3118},
doi = {10.14778/3836663.3836676},
url = {https://doi.org/10.14778/3836663.3836676},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next