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LDG-PCGC: Lossless Dynamically Grouped Point Cloud Geometry Compression | Synapse
March 3, 2026
Open Access
LDG-PCGC: Lossless Dynamically Grouped Point Cloud Geometry Compression
SC
Shoukun Chen
DW
Dayong Wang
YS
Yu Sun
Minzu University of China
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Key Points
Achieving lossless compression of point cloud geometry reduces data size remarkably, enhancing storage efficiency.
The proposed method demonstrates efficiency improvements of up to 50% over traditional compression techniques for dynamic datasets.
Analysis using advanced data encoding strategies allows for effective grouping without losing critical geometric details.
Significant implications for 3D modeling applications, requiring external validation for widespread implementation.
Abstract
International audience
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Chen et al. (Mon,) studied this question.
synapsesocial.com/papers/69a76229c6e9836116a3053d