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Non-Uniform Voxelisation for Point Cloud Compression.

Bert Van Hauwermeiren1, Leon Denis1, Adrian Munteanu1

  • 1Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium.

Sensors (Basel, Switzerland)
|February 13, 2025
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Summary
This summary is machine-generated.

This study introduces non-uniform voxelisation for point cloud compression, adapting voxel sizes to local density. This method enhances geometric detail preservation and reconstruction accuracy compared to uniform voxelisation.

Keywords:
compressionpoint cloudquantisationvoxelisation

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Area of Science:

  • Computer Vision
  • 3D Data Processing
  • Geometric Compression

Background:

  • Point cloud compression is crucial for 3D data applications like VR and autonomous driving.
  • Existing methods often use uniform voxelisation, which can struggle with complex scene geometries.
  • This uniform approach may lead to loss of detail and less accurate reconstructions.

Purpose of the Study:

  • To propose a novel non-uniform voxelisation technique for point cloud geometry compression.
  • To improve the efficiency and accuracy of 3D data compression.
  • To address the limitations of uniform voxelisation in capturing complex geometric details.

Main Methods:

  • Developed a non-uniform voxelisation method that adaptively adjusts voxel sizes based on local point density.
  • Implemented a technique to preserve geometric details during compression.
  • Evaluated the method on benchmark datasets: ScanNet, ModelNet, and ShapeNet.

Main Results:

  • The proposed non-uniform voxelisation achieved superior compression ratios compared to traditional uniform methods.
  • Demonstrated enhanced reconstruction quality with the adaptive voxel sizing approach.
  • Experimental results confirmed the effectiveness on diverse 3D datasets.

Conclusions:

  • Non-uniform voxelisation is a promising alternative for point cloud geometry compression.
  • The adaptive method offers improved performance for real-world 3D data scenarios.
  • This technique enables more effective storage and transmission of complex 3D data.