Generating real-time detailed ground visualisations from sparse aerial point clouds

TL;DR

This paper introduces a method to automatically enhance sparse aerial point clouds into detailed, real-time 3D ground visualizations, reducing costs and increasing accuracy for various outdoor applications.

Contribution

The proposed approach automatically amplifies real-world scanned data to generate high-quality, real-time animated 3D visualizations from sparse aerial point clouds.

Findings

Enables real-time detailed ground visualization from sparse data

Reduces manual effort and costs in 3D content creation

Improves accuracy of outdoor landscape representations

Abstract

Building realistic wide scale outdoor 3D content with sufficient visual quality to observe at walking eye level or from driven vehicles is often carried out by large teams of artists skilled in modelling, texturing, material shading and lighting, which typically leads to both prohibitive costs and reduced accuracy honoring the variety of real world ground truth landscapes. In our proposed method, we define a process to automatically amplify real-world scanned data and render real-time in animated 3D to explore at close range with high quality for training, simulation, video game and visualisation applications.