CyberCity Modeler, a tool for interactive 3-D city model generation (original) (raw)

CC-Modeler: a topology generator for 3-D city models

ISPRS Journal of Photogrammetry and Remote Sensing, 1998

In this paper, we introduce a semi-automated topology generator for 3-D objects, CC-Modeler (CyberCity Modeler). Given the data as point clouds measured on Analytical Plotters or Digital Stations, we present a new method for fitting planar structures to the measured sets of point clouds. While this topology generator has been originally designed to model buildings, it can also be used for other objects, which may be approximated by polyhedron surfaces. We have used it so far for roads, rivers, parking lots, ships, etc. CC-Modeler is a generic topology generator. The problem of fitting planar faces to point clouds is treated as a Consistent Labeling problem, which is solved by probabilistic relaxation. Once the faces are defined and the related points are determined we apply a simultaneous least squares adjustment in order to fit the faces jointly to the given measurements in an optimal way. We first present the processing flow of the CC-Modeler. Then the algorithm of structuring the 3-D point data is outlined. Finally, we show the results of several data sets which have been produced with CC-Modeler.

Creation of a 3-D City Model of Zurich with CC-Modeler

In this paper, we introduce a semi-automated topology generator for 3-D objects, CC-Modeler (CyberCity Modeler). Given the data as point clouds measured on Analytical Plotters or Digital Stations, we present a new method for fitting planar structures to the measured sets of point clouds. While this topology generator has been originally designed to model buildings, it can also be used for other objects, which may be approximated by polyhedron surfaces. We have used it so far for roads, rivers, parking lots, ships, etc. CC-Modeler is a generic topology generator. The problem of fitting planar faces to point clouds is treated as a Consistent Labeling problem, which is solved by probabilistic relaxation. Once the faces are defined and the related points are determined, we apply a simultaneous least squares adjustment in order to fit the faces jointly to the given measurements in an optimal way. We first present the processing flow of the CC-Modeler. Then, the algorithm of structuring the 3-D point data is outlined. Finally, we show the results of data sets of Zürich that have been produced with CC-Modeler.

Towards fully automated 3D city model generation

Three-dimensional city models are usually comprised of a description of the terrain, streets, buildings and vegetation in build-up areas. Building models are an important part thereof, even though it has to be noted that for many applications, additional information is necessary. For example, a faithful representation for virtual reality applications can only be obtained when the texture of the ground, roofs and façades is present and important details like trees, walkways and fences are present .

A HYBRID GIS FOR 3-D CITY MODELS

2000

With the development of modern cities, 3-D spatial information systems (SIS) are increasingly required for spatial planning, communication systems and other applications. Usually, several important topics are involved in 3-D urban information systems, i.e. data acquisition, modeling, management and handling. The first issue is addressed with our CyberCity-Modeler (CC-Modeler) that has been developed in order to generate structured data for

3-D Urban Mapping for a Hybrid Gis

Das ist eine von den alten Sünden, sie meinen Rechnen, das sei Erfinden." Goethe; Mephisto, Faust I KEY WORDS: CyberCity Modeler, Relational Data Model, Hybrid GIS

An Automated Process of Creating 3D City Model for Monitoring Urban Infrastructures

Journal of Geographical Research, 2022

This paper describes the process of designing models and tools for an automated way of creating 3D city model based on a raw point cloud.Also, making and forming 3D models of buildings. Models and tools for creating tools made in the model builder application within the ArcGIS Pro software. An unclassified point cloud obtained by the LiDAR system was used for the model input data. The point cloud, collected by the airborne laser scanning system (ALS), is classified into several classes: ground, high and low noise, and buildings. Based on the created DEMs, points classified as buildings and formed prints of buildings, realistic 3D city models were created. Created 3D models of cities can be used as a basis for monitoring the infrastructure of settlements and other analyzes that are important for further development and architecture of cities.

AUTOMATED UPDATING AND MAINTENANCE OF 3D CITY MODELS

The automation of 3D building reconstruction is an ongoing topic of worldwide research. Currently, cities all over the world are heavily engaged to create 3D city models for various reasons like town planning, urban climate and noise simulations, virtual tourism etc. Generally, companies are entrusted to generate such 3D city models. The current approaches of those companies are labour intensive and therefore cost intensive, since the reconstruction of each single building is based mainly on manual processing within a computer supported editing framework. The same holds for internet providers of 3D city models which offer tools for the interactive construction of 3D models (e.g. the SketchUp tool of Google Earth). In cooperation with the land registry and surveying office of the city of Bonn we developed an automated approach to 3D building reconstruction as well as a spatial information system for the maintenance of 3D city models. This contribution focuses on our approach on 3D building reconstruction which employs a model-based data fusion from aerial images, airborne laser scanning and GIS. Furthermore, we describe our spatial information system to maintain the 3D city models. The spatial information system is based on open source RDBMS and offers SQL-based spatial query functionality.

Rapid Production of Virtual Reality City Models

Workshop on Advances in Geographic Information Systems, 1997

The growing demand for detailed city models has stimulated research on efficient 3D data acquisition. Over the past years, it has become evident that the automatic reconstruction of urban scenes is most promising if different types of data, possibly originating from different data sources are combined. In the approach presented in this paper the geometric reconstruction of urban areas is

An Integrated System for Urban Model Generation

1998

Many tasks in the context of urban planning presume 3D city models, where buildings are represented separately from the terrain surface e.g. by 3D boundary representations. One of the most promising approaches to solve the challenging task of automatic 3D city model acquisition is the integration of multiple data sources to benefit from the complementary types of information. In our