2013
DOI: 10.1080/10095020.2013.866617
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Generalization of buildings within the framework of CityGML

Abstract: For a better visual impression, 3D information systems and architecture need detailed, photo-realistic visualization of 3D data-sets. However, easy accessibility with efficient rendering becomes difficult due to the detailed data associated with 3D objects. Therefore, different applications demand different levels of detail (LoD). Currently, City Geography Markup Language (CityGML), as the Open Geospatial Consortium standard, is being used to model and represent buildings in different LoDs (LoD0-LoD4), but it … Show more

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Cited by 11 publications
(8 citation statements)
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“…Therefore, for 3D shape, they are extruded by using the estimated height using Equation (1). According to the definition of building details by CityGML, the shape of the obtained buildings is specified to be LoD1 (out of five levels of details [LoD0 to LoD4]) (Baig and Abdul-Rahman 2013, Breunig et al 2015, Gröger and Plümer 2012, given that only one height is assigned to the buildings, and the surface details are abandoned. The 3D model is produced using CityEngine, which can be used to produce 3D models for various areas.…”
Section: Export To Cityenginementioning
confidence: 99%
“…Therefore, for 3D shape, they are extruded by using the estimated height using Equation (1). According to the definition of building details by CityGML, the shape of the obtained buildings is specified to be LoD1 (out of five levels of details [LoD0 to LoD4]) (Baig and Abdul-Rahman 2013, Breunig et al 2015, Gröger and Plümer 2012, given that only one height is assigned to the buildings, and the surface details are abandoned. The 3D model is produced using CityEngine, which can be used to produce 3D models for various areas.…”
Section: Export To Cityenginementioning
confidence: 99%
“…There have been studies of improving visualisation of building objects realised by simplifying building data in CityGML from a higher level of detail (e.g., LOD3) to a lower (e.g., LOD2) [36][37][38][39]. The argument for this simplification is both performance (less data needed to be transmitted, etc.)…”
Section: Visual Rule Checkingmentioning
confidence: 99%
“…While multi-LOD datasets are rare, when they are available they are usually produced by generalisation from finer LODs (e.g. see [1,4,40]), for instance, as a bounding box of an LOD2 [11], or of an LOD3 including features such as antennas on roofs [30]. This is beneficial for this research, since it results in datasets where many of the geometries are preserved, and are identical in more than one representation.…”
Section: Multi-lod Datasetsmentioning
confidence: 99%