Point Cloud Mesh Generation
Real-time LiDAR mesh generation for spatial computing.
About This Project
Point Cloud Mesh Generation is a cutting-edge spatial computing solution that transforms raw LiDAR sensor data into optimized, textured 3D meshes in real-time. Developed for MonoPoly's advanced scanning platform, this technology bridges the gap between point cloud capture and usable 3D content. The system processes millions of points per second from iPhone Pro LiDAR sensors, industrial scanners, or drone-mounted systems, applying advanced algorithms including surface reconstruction, noise filtering, and texture projection. The resulting meshes are automatically optimized for their target platform — whether high-fidelity visualization for architects, game-ready assets for developers, or lightweight models for AR applications. The technology has applications spanning architecture, construction inspection, historical preservation, and crime scene documentation.
What It Does
Real-time Poisson surface reconstruction processing 10M+ points per second
Multi-source LiDAR support including iPhone, Leica, and FARO scanners
Automatic LOD generation for web, mobile, and desktop platforms
Texture baking from captured photographs onto generated meshes
Noise reduction and outlier filtering using machine learning
Export to FBX, OBJ, glTF, and native CAD formats
Built With
TECHNOLOGIES
PLATFORMS
Engine
Unity
Year
2024
Category
LiDAR Technology
Project Scope
Studio
XR Studio
Platforms
Deployed to 3 platforms
Tech Depth
6 technologies across Unity
Client
Hongyu Zhang (MonoPoly)
Delivered
2024