An improved visualization of LiDAR data using level of details and weighted color mapping

Sašo Pečnik, Danijel Žlaus, Domen Mongus, Borut Žalik


This paper proposes an improved approach for LiDAR data visualization in terms of rendering quality. The method uses adaptive point-scaling for dealing with variations in data densities, while the contrasts of rendered objects are improved with weighted color mapping. In the former case, points’ distances from the observer are used to estimate their optimal rendering sizes. In the latter case, points are colored based on height attributes and increasing visual fidelity a point’s color is weighted using that point’s intensity information. Common image quality matrices, as well as conducted user study, confirm the improvements of the visualization.