June 16, 2022, 1:33 p.m. | Ivan Nikolov

Towards Data Science - Medium towardsdatascience.com

Distance calculations and neighborhood analysis are essential tools for understanding the shape, structure, and features of meshes and point clouds. This article will use three of the most widely used Python 3D data analysis libraries — Open3D, PyVista, and Vedo to extract distance-based information, visualize it, and show example use cases. As always all code, together with used mesh and point cloud data are provided. Who said that neighborhood analysis for 3D objects should be hard?Examples of calculating …

analysis mesh point-cloud python trees

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior Data Science Analyst- ML/DL/LLM

@ Mayo Clinic | Jacksonville, FL, United States

Machine Learning Research Scientist, Robustness and Uncertainty

@ Nuro, Inc. | Mountain View, California (HQ)