The Method of Lossless 3D Point Cloud Compression Based on Space Filling Curve Implementation

  • Victor V. Alexandrov
  • Sergey V. Kuleshov
  • Alexey J. Aksenov
  • Alexandra A. ZaytsevaEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 466)


This paper proposes a method of reordering point cloud into a bit stream which has ordered structure, and features the ability to save local space features, which allows to use the methods of run-length encoding to reduce the bit volume of the scanned 3D data. The proposed method can be implemented in software designed to work with 3D scanned data, raw 3D data transmission for further post-processing of complex spatial forms.


3D-modeling 3D scanning Point cloud 3D model 3D compression Space-filling curve 



This work is supported by state research № 0073-2014-0005.


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Authors and Affiliations

  • Victor V. Alexandrov
    • 1
  • Sergey V. Kuleshov
    • 1
  • Alexey J. Aksenov
    • 1
  • Alexandra A. Zaytseva
    • 1
    Email author
  1. 1.St.-Petersburg Institution for Informatics and Automation of RASSt.-PetersburgRussia

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