Assessing the sensibility of intervisibility on the quality of 3D geometry

Abstract. This work explores a new evaluation framework for 3D Model Quality Assessment using 3D intervisibility, a critical concept in 3D spatial analysis. In this work we will consider a high-quality LiDAR ground-truth 3D model and lower quality (dense matching and decimated) versions of it. Then we run the same intervisibility analysis on all of them and compare the results. This will allow us to evaluate the impact of geometric quality on intervisibility analysis. This analysis is useful for anyone using 3D data for simulations, as it indicates what data quality they actually need to purchase or produce for their specific use case. Ultimately, the goal of this work is to see how much the quality of the 3D model affects intervisibility results.