CMRT09

Stilla, Uwe

Bibliographic data

Monograph

Persistent identifier:: 856955019

Author:: Stilla, Uwe

Title:: CMRT09

Sub title:: object extraction for 3D city models, road databases, and traffic monitoring ; concepts, algorithms and evaluation ; Paris, France, September 3 - 4, 2009 ; [joint conference of ISPRS working groups III/4 and III/5]

Scope:: X, 234 Seiten

Year of publication:: 2009

Place of publication:: Lemmer

Publisher of the original:: GITC

Identifier (digital):: 856955019

Illustration:: Illustrationen, Diagramme, Karten

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: 3D BUILDING RECONSTRUCTION FROM LIDAR BASED ON A CELL DECOMPOSITION APPROACH Martin Kada, Laurence McKinle

Document type:: Monograph

Structure type:: Chapter

In: Stilla U, Rottensteiner F, Paparoditis N (Eds) CMRT09. IAPRS, Vol. XXXVIII, Part 3/W4 — Paris, France, 3-4 September, 2009 3D BUILDING RECONSTRUCTION FROM LIDAR BASED ON A CELL DECOMPOSITION APPROACH Martin Kada a , Laurence McKinley b a Institute for Photogrammetry, University of Stuttgart, Geschwister-Scholl-Str. 24D, 70174 Stuttgart, Germany martin.kada@ifp.uni-stuttgart.de b Virtual City Systems, Zellescher Weg 3, 01069 Dresden, Germany lmckinley@virtualcitysystems.de Commission III, WG III/4 KEY WORDS: LIDAR, Reconstruction, Building, Automation, Algorithms ABSTRACT: The reconstruction of 3D city models has matured in recent years from a research topic and niche market to commercial products and services. When constructing models on a large scale, it is inevitable to have reconstruction tools available that offer a high level of automation and reliably produce valid models within the required accuracy. In this paper, we present a 3D building reconstruction approach, which produces LOD2 models from existing ground plans and airborne LIDAR data. As well-formed roof structures are of high priority to us, we developed an approach that constructs models by assembling building blocks from a library of parameterized standard shapes. The basis of our work is a 2D partitioning algorithm that splits a building's footprint into nonintersecting, mostly quadrangular sections. A particular challenge thereby is to generate a partitioning of the footprint that approximates the general shape of the outline with as few pieces as possible. Once at hand, each piece is given a roof shape that best fits the LIDAR points in its area and integrates well with the neighbouring pieces. An implementation of the approach is used now for quite some time in a production environment and many commercial projects have been successfully completed. The second part of this paper reflects the experiences that we have made with this approach working on the 3D reconstruction of the entire cities of East Berlin and Cologne. 1. INTRODUCTION 3D building reconstruction has been a topic for quite some time now. Many research papers have been published; commercial services and software are available. (Brenner, 2005), e.g., gives a good overview of reconstruction methods and points out that “research is still far from the goal of the initially envisioned fully automatic reconstruction systems”. This situation has not yet changed much, although a lot of research is still devoted to this topic, as can be seen in the multitude of recent publications (e.g. (Arefi et al., 2008), (Moser et al., 2009), (Sohn et al., 2008)). The subject of this paper is on the generation of realistic 3D city models in LOD2 as it is defined in the official OGC standard CityGML (see e.g. (Kolbe, 2009)). At this LOD, buildings have distinctive roof structures and flat facades that are textured from terrestrial or oblique aerial images. As the data basis, we rely on existing ground plans and airborne LIDAR data. A frequent requirement, especially from customers within the mainland Europe, is that the provided building outlines are to be preserved with only little tolerance and that ridge and eaves heights must be very accurate. This is especially important so that the facades and roofs can be properly mapped from oblique aerial images. The presented reconstruction approach is motivated from our research on the simplification of 3D building models for map like representations (Kada, 2007). An integral part of this work lies on a new method to decompose a 2D building footprint into a small set of nonintersecting primitives. Although the resulting partitioning only approximates the original outline, it is still accurate enough for reconstruction purposes. The benefit is, however, that the algorithm separates the sections nicely, especially for residential houses with gabled or hipped roofs. This eases the task of determining and assembling a valid roof structure from parameterized, standard shapes. In the second part of the paper, we give insight into two large- area projects that we have completed using the described 3D reconstruction system: East Berlin and Cologne. Figure 1 shows the reconstructed 3D city model of Berlin with textures mapped from oblique imagery. Figure 1. Real-time visualization of the 3D city model of Berlin. 47

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