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VR GLOSSARY
Definition

Point Cloud

Set of 3D points representing a scanned object or environment

Also known as: Point Cloud

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Point Cloud

Explanation

A point cloud is a collection of data points in 3D space, each with X/Y/Z coordinates and often color information, representing the surface geometry of a real-world object or environment. Point clouds are generated by LiDAR scanners, photogrammetry, or depth cameras and serve as the raw material for creating 3D meshes, digital twins, and VR-ready environments.

Real-world example

The millions of colored points that form the 3D "map" of your room.

Practical applications

  • 3D scanning: capturing the geometry of real objects or environments
  • Spatial mapping: the headset understands the shape of your room
  • Heritage preservation: digitizing monuments for long-term conservation
  • Industry: quality control by comparing parts against the CAD model

Point cloud sources

LiDAR

  • Laser scanner that measures distances
  • Very high precision (millimeter-level)
  • Built into iPhone Pro, iPad Pro
  • Used in architecture and geology

Example: Scanning a room with an iPhone to get a 3D floor plan

Photogrammetry

  • Generated from multiple photographs
  • Also captures colors (textures)
  • More accessible but less precise
  • Ideal for objects and environments

Example: Creating a 3D model of a statue from 100 photographs

Depth sensors

  • Time-of-flight (ToF) cameras
  • Structured light pattern projection
  • Real-time but limited range
  • Used in VR headsets for tracking

Example: The VR headset that "sees" furniture to define the play area boundary

VR scenario

To create a virtual tour of a historic castle, a team performs a LiDAR scan that generates a point cloud of 500 million points. The cloud is then converted into a 3D mesh, textured with photographs, and optimized for real-time rendering. The VR visitor can explore every corner of the castle with millimeter-level fidelity to the real building.

Why it matters in professional VR

  • Real-to-virtual bridge: the point cloud is the raw material of the digital twin
  • Precision: an objective capture of reality without artistic interpretation
  • Foundation of mapping: indispensable for AR and mixed reality
  • Archiving: digitally preserving endangered sites