Software to convert terrestrial LiDAR scans of natural environments into photorealistic meshes

Risse, Benjamin and Mangan, Michael and Stürzl, Wolfgang and Webb, Barbara (2018) Software to convert terrestrial LiDAR scans of natural environments into photorealistic meshes. Environmental Modelling & Software, 99 . pp. 88-100. ISSN 1364-8152

Documents
manuscript_habitat3d.pdf
[img]
[Download]
[img]
Preview
PDF
manuscript_habitat3d.pdf - Whole Document

9MB
Item Type:Article
Item Status:Live Archive

Abstract

The introduction of 3D scanning has strongly influenced environmental sciences. If the resulting point clouds can be transformed into polygon meshes, a vast range of visualisation and analysis tools can be applied. But extracting accurate meshes from large point clouds gathered in natural environments is not trivial, requiring a suite of customisable processing steps. We present Habitat3D, an open source software tool to generate photorealistic meshes from registered point clouds of natural outdoor scenes. We demonstrate its capability by extracting meshes of different environments: 8,800 m2 grassland featuring several Eucalyptus trees (combining 9 scans and 41,989,885 data points); 1,018 m2 desert densely covered by vegetation (combining 56 scans and 192,223,621 data points); a well-structured garden; and a rough, volcanic surface. The resultant reconstructions accurately preserve all spatial features with millimetre accuracy whilst reducing the memory load by up to 98.5%. This enables rapid visualisation of the environments using off-the-shelf game engines and graphics hardware.

Keywords:LIDar
Subjects:C Biological Sciences > C180 Ecology
G Mathematical and Computer Sciences > G400 Computer Science
C Biological Sciences > C150 Environmental Biology
Divisions:College of Science > School of Computer Science
ID Code:29351
Deposited On:07 Nov 2017 10:34

Repository Staff Only: item control page