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PCM_Clean – Professional Point Cloud Cleaning for Blender
PCM_Clean is a Blender addon designed to clean, optimize and simplify large point clouds generated by LiDAR scanners, SLAM systems and photogrammetry workflows.
Raw point cloud data often contains noise, redundant points and unnecessary density that make modeling difficult and slow. PCM_Clean provides a structured workflow to remove noise, isolate structures and reduce point density while preserving geometric features.
The addon works directly inside Blender and integrates seamlessly with PCM_Core, creating a complete workflow from point cloud import to modeling-ready data.

Typical workflow:
• Import point cloud using PCM_Core
• Select the Region of Interest
• Remove noise using statistical filtering
• Isolate structures using clustering algorithms
• Simplify the cloud using voxel grid reduction
• Continue modeling or export clean data

PCM_Clean is part of the PCM – Point Cloud Modeling suite for Blender.
The goal of this project is to bring professional point cloud processing tools directly into Blender for architecture, surveying and BIM workflows.

Developer:
Geom. Marco Sibaldi

Software used:
Blender