Paper
8 June 2011 Rapid high-fidelity visualisation of multispectral 3D mapping
Philip M. Tudor, Mark Christy
Author Affiliations +
Abstract
Mobile LIDAR scanning typically provides captured 3D data in the form of 3D 'Point Clouds'. Combined with colour imagery these data produce coloured point clouds or, if further processed, polygon-based 3D models. The use of point clouds is simple and rapid, but visualisation can appear ghostly and diffuse. Textured 3D models provide high fidelity visualisation, but their creation is time consuming, difficult to automate and can modify key terrain details. This paper describes techniques for the visualisation of fused multispectral 3D data that approach the visual fidelity of polygon-based models with the rapid turnaround and detail of 3D point clouds. The general approaches to data capture and data fusion are identified as well as the central underlying mathematical transforms, data management and graphics processing techniques used to support rapid, interactive visualisation of very large multispectral 3D datasets. Performance data with respect to real-world 3D mapping as well as illustrations of visualisation outputs are included.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Philip M. Tudor and Mark Christy "Rapid high-fidelity visualisation of multispectral 3D mapping", Proc. SPIE 8037, Laser Radar Technology and Applications XVI, 80370H (8 June 2011); https://doi.org/10.1117/12.886213
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KEYWORDS
Visualization

Clouds

3D modeling

Data modeling

LIDAR

Video

3D image processing

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