XR PROJECT

Point Cloud Mesh Generation

Real-time LiDAR mesh generation for spatial computing.

ClientHongyu Zhang (MonoPoly)
Year2024
EngineUnity
PlatformsiOS, Android, PC
// OVERVIEW

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.

// FEATURES

What It Does

01

Real-time Poisson surface reconstruction processing 10M+ points per second

02

Multi-source LiDAR support including iPhone, Leica, and FARO scanners

03

Automatic LOD generation for web, mobile, and desktop platforms

04

Texture baking from captured photographs onto generated meshes

05

Noise reduction and outlier filtering using machine learning

06

Export to FBX, OBJ, glTF, and native CAD formats

// STACK

Built With

TECHNOLOGIES

UnityC#LiDAR SDKPoint Cloud LibraryCompute ShadersML.NET

PLATFORMS

iOSAndroidPC
ENG

Engine

Unity

YR

Year

2024

CAT

Category

LiDAR Technology

// CONTEXT

Project Scope

XR

Studio

XR Studio

3

Platforms

Deployed to 3 platforms

6

Tech Depth

6 technologies across Unity

CLIENT.REF

Client

Hongyu Zhang (MonoPoly)

Delivered

2024

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