Prolincur Technologies
Reality capture / Survey

3D Mesh Reconstruction with ML Segmentation and Adaptive Point Clouds

Segmented, semantically classified 3D meshes reconstructed from images, using ML segmentation and adaptive point clouds.

Client
3D reconstruction client
Services
Point cloud and reality capture, Geometry and CAD kernel engineering
Industry
Reality capture / Survey
3D Mesh Reconstruction with ML Segmentation and Adaptive Point Clouds screenshot

The challenge

The client needed segmented 3D meshes reconstructed from images, with each object identified, for use in analysis and downstream tools.

What we built

An image segmentation model combined with adaptive point cloud generation and Poisson surface reconstruction.

What we delivered

  • Segmentation and classification of objects in images
  • Point clouds generated for each segment
  • Adaptive resolution of the point cloud
  • Poisson reconstruction to create the surface mesh, with Open3D
  • Semantic classification of the 3D mesh objects

The outcome

Semantic segmentation of 3D objects and geometrically accurate meshes.

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