CARS-MESH, 3D surface reconstruction

CARS-MESH is a library to do 3D Surface reconstruction with texture and classification from remote sensing photogrammetric point cloud.

This tool is part of 3D CNES satellite tools around CARS but can be run independently. CARS can be used to generate input point clouds from stereo images.

This library was created during a CNES R&T (Research & Technology) project for experimental studies. The project is therefore not recommended for production with no guaranty on stability and maintenance.

Feel free to contact us for contribution nonetheless.

Authors:

• Lisa Vo Thanh (Magellium)

• Chloé Thenoz (Magellium)

• Emmanuel Dubois (CNES)

Copyright: CNES

Contact: cars@cnes.fr

User Guide

• Install
  • Quick pypi install
  • Developer Install with Make
  • Developer Install with local pip
• Inputs/Outputs
  • Input and output format
  • Point cloud/Mesh coordinate system
  • (Optional) Pansharpened texture image
• Use CARS-MESH
• Use CARS-MESH Evaluate
  • Metrics
• CARS-Mesh functions
  • Filter point cloud
  • Denoise point cloud
  • Mesh
  • Denoise mesh
  • Simplify mesh
  • Texture
• Design
  • Handlers

API Reference

• API Reference
  • cars_mesh

Indices and tables

• Index

• Module Index

• Search Page