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PyPCSE

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PyPCSE is a Python library that provides tools for processing point clouds of symmetrical objects using the Point Cloud Spatial Expansion (PCSE) method. The transformation of a point cloud structure begins with identifying and adopting a symmetry element, which serves as the reference for the spatial expansion. The input data consists of point clouds in ASCII format.

The PyPCSE library includes algorithms for three PCSE method variants:

  • Cylindrical
  • Spherical
  • Ellipsoidal

Detailed descriptions of the PCSE method algorithms can be found in the following publications:

  • Cylindrical variant:
    Dąbrowski, P., & Specht, C. (2019).
    Spatial expansion of the symmetrical objects point clouds to the lateral surface of the cylinder – Mathematical model.
    Measurement: Journal of the International Measurement Confederation, 134, 40–47.
    https://doi.org/10.1016/j.measurement.2018.10.036
  • Spherical and ellipsoidal variants:
    Dąbrowski, P. (2024).
    Przestrzenne rozwinięcia chmur punktów podstawy teoretyczne i aplikacyjne. (in Polish)
    Wydawnictwo Politechniki Gdańskiej.
    ISBN: 978-83-7348-919-6

License: CC BY-NC
Author: Dr. Eng. Paweł S. Dąbrowski
ORCID: 0000-0002-6177-0493
E-mail: pawel.s.dabrowski@pg.edu.pl

Dataset file

PyPCSE v1.0 .rar
4.6 MB, S3 ETag 72b3848303e690a8ad778c15e4d9cb5f-1, downloads: 0
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hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5

File details

License:
Creative Commons: by-nc 4.0 open in new tab
CC BY-NC
Non-commercial

Details

Year of publication:
2025
Verification date:
2025-04-14
Dataset language:
English
DOI:
DOI ID 10.34808/we4v-m144 open in new tab
Verified by:
Gdańsk University of Technology

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