UDMV15: Eurographics Workshop on Urban Data Modelling and Visualisation

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https://diglib.eg.org/handle/10.2312/13879

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Browsing UDMV15: Eurographics Workshop on Urban Data Modelling and Visualisation by Subject "Computational Geometry and Object Modeling"

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    Dynamizers - Modeling and Implementing Dynamic Properties for Semantic 3D City Models
    (The Eurographics Association, 2015) Chaturvedi, Kanishk; Kolbe, Thomas H.; Filip Biljecki and Vincent Tourre
    Today, more and more cities worldwide are realizing the importance of semantic 3D city models. Various application areas of 3D city models such as simulations require the usage of highly dynamic and time-varying attributes, which are currently not supported by any standard. In this paper, we propose a new concept 'dynamizer', which extends static 3D city models by supporting variations of individual feature properties and associations over time. It allows to inject dynamic variations of city object properties into the static representation. In addition, the concept allows to model and study complex patterns representing dynamic variation of properties based on statistics and general rules.
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    Visibility Analysis in a Point Cloud Based on the Medial Axis Transform
    (The Eurographics Association, 2015) Peters, Ravi; Ledoux, Hugo; Biljecki, Filip; Filip Biljecki and Vincent Tourre
    Visibility analysis is an important application of 3D GIS data. Current approaches require 3D city models that are often derived from detailed aerial point clouds. We present an approach to visibility analysis that does not require a city model but works directly on the point cloud. Our approach is based on the medial axis transform, which models the urban environment as a union of balls, which we then use to construct a depthmap that is used for point visibility queries. As we demonstrate through our experiments on a real-world aerial LiDAR point cloud, the main benefits of our approach are 1) it is robust to noise, irregular sampling and holes of typical aerial LiDAR datasets, 2) it gives visibility results that are significantly more accurate than the often highly generalised city models, and 3) it is a simple algorithm that is easy to parallelise.