I2-Multimedia-Lab/PoLoPCAC
[Under Review] Efficient and Generic Point Model for Lossless Point Cloud Attribute Compression
This tool helps professionals working with 3D scanning or modeling to efficiently store and transmit detailed 3D point cloud data. It takes your raw 3D point clouds, which contain information like color and reflectance for each point, and produces a much smaller, compressed file. This smaller file can then be decompressed later, perfectly reconstructing the original point cloud without any loss of detail. It's designed for engineers, researchers, or artists who handle large point cloud datasets from scanners or 3D models.
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Use this if you need to compress large 3D point cloud datasets, including attributes like color or reflectance, to save storage space or reduce transmission time without losing any original data quality.
Not ideal if your primary concern is compressing point cloud geometry without attributes, or if some data loss is acceptable for even higher compression ratios.
Stars
40
Forks
2
Language
Python
License
MIT
Category
Last pushed
Apr 11, 2024
Commits (30d)
0
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