Point cloud generation for Blender

Generate useful sparse and dense point clouds from tracked footage

MotionMaster 3D creates point cloud output from Quick and Heavy workflows, then gives Blender artists import, cleanup, and alignment tools to make the result usable.

Use this page for point cloud searches and users who need spatial reference inside Blender.

Why point clouds matter for camera tracking

A camera solve tells Blender how the camera moved. A point cloud shows what the solver understood about the scene. That visual reference makes it much easier to place CG, judge scale, align floors, and identify bad reconstruction regions.

Quick Tracking can output sparse points quickly. Heavy Tracking can produce sparse reconstruction and, with dense settings enabled, a much richer colorized point cloud for layout.

  • Sparse point clouds for fast spatial feedback.
  • Dense colorized point clouds for stronger scene reference.
  • Cleanup tools for removing outliers and clutter.

From raw points to Blender-ready reference

MotionMaster 3D includes a dedicated Point Cloud Cleanup panel. It helps remove floating points and unwanted clutter from Quick, Heavy, and Dense outputs so the imported result becomes easier to inspect and use.

After cleanup, the Aligner panel can snap selected floor points to Blender world space and flip inverted results. This turns a raw reconstruction into a practical scene reference for VFX work.

  • Import Quick, Heavy, Dense, or Mesh results.
  • Clean noisy points with statistical outlier removal.
  • Align the result to the Blender floor plane.

Build the tracked Blender scene, not just a solve file

MotionMaster 3D starts at $29.99 as a one-time purchase and is built for camera tracking, reconstruction, masks, dense point clouds, mesh generation, cleanup, alignment, and batch workflows inside Blender.

See pricing