How to Interpret and Use Point Cloud Data

Understanding Point Cloud Data

# What is a Point Cloud?

A point cloud is a collection of millions of 3D points, each with X, Y, Z coordinates and often color (RGB) or intensity values. Each point represents a surface measurement captured by the scanner.

# Point Cloud Properties

Density
- Points per square meter varies by scanner and distance
- Typical indoor scans: 10,000-50,000 pts/m²
- Higher density = more detail but larger files

Accuracy
- Each point has position uncertainty
- Documented as standard deviation or RMS
- Survey-grade: <2mm, Visualization: 5-20mm

Color/Intensity
- RGB color from integrated cameras
- Intensity from laser return strength
- Intensity useful for material identification

# Viewing Point Clouds

Free Viewers:
- CloudCompare (full-featured, cross-platform)
- Autodesk ReCap (RCS/RCP files)
- Potree (web-based visualization)

Professional Software:
- Leica Cyclone
- Trimble RealWorks
- FARO Scene

# Practical Applications

Measurement
- Point-to-point distance
- Section cuts and profiles
- Area and volume calculations

Visualization
- Virtual flythrough
- Color by elevation/intensity
- Clash visualization

Design Integration
- Import to Revit/AutoCAD
- Overlay design models
- Deviation analysis