Interactive Visualization of 3D Coordinate Uncertainties in Terrestrial Laser <scp>-</scp> Scanning Point Clouds Using OpenGL Shader Language
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Authors
O’Banion, Matthew S.
Olsen, Michael J.
Parrish, Christopher E.
Bailey, Michael
Issue Date
2019-02
Type
journal-article
Language
Keywords
Lidar , TLS , Uncertainty , Visualization , Error Propagation
Alternative Title
Abstract
Although laser-scanning total propagated uncertainty (TPU) is an active topic in the research community, there is a current dearth of commercial or open-source software for generating point clouds with per-point, three-dimensional (3D) coordinate uncertainties from terrestrial, mobile, and airborne laser scanning. Consequentially, there is a corresponding lack of tools for on-the-fly 3D visualization of these point cloud uncertainties. Visualization tools could be incredibly valuable for analyzing and communicating the spatial variability of uncertainty in a data set, ultimately enhancing both qualitative and quantitative analyses. This study presents an efficient visualization framework for terrestrial laser-scanning (TLS) point cloud uncertainty calculation utilizing the OpenGL Shader Language (GLSL). The methods were tested on four data sets, ranging from a controlled indoor scene containing objects representing simple geometric shapes (e.g., spheres and cones) to a complex forest environment with many types of natural objects. OpenGL shader-based uncertainty visualization was found to aid with the assessment of the effects of modifying models of measurement uncertainty, such as accounting for the nonlinear increase in laser beam radius at short ranges when modeling laser beamwidth-derived uncertainty, as well as range- and angular-based component uncertainties.
Description
Citation
O’Banion, Matthew S., Michael J. Olsen, Christopher E. Parrish, and Michael Bailey. “Interactive Visualization of 3D Coordinate Uncertainties in Terrestrial Laser Scanning Point Clouds Using OpenGL Shader Language.” Journal of Surveying Engineering. American Society of Civil Engineers (ASCE), February 2019. https://doi.org/10.1061/(asce)su.1943-5428.0000267.
Publisher
American Society of Civil Engineers (ASCE)
License
Journal
Volume
Issue
PubMed ID
ISSN
0733-9453
1943-5428
1943-5428