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Lars Harrie

Lars Harrie

Professor

Lars Harrie

Detection and typification of linear structures for dynamic visualization of 3D city models

Author

  • Bo Mao
  • Lars Harrie
  • Yifang Ban

Summary, in English

Cluttering is a fundamental problem in 3D city model visualization. In this paper, a novel method for removing cluttering by typification of linear building groups is proposed. This method works. in static as well as dynamic visualization of 3D city models. The method starts by converting building models in higher Levels of Details (LoDs) into LoD1 with ground plan and height. Then the Minimum Spanning Tree (MST) is generated according to the distance between the building ground plans. Based on the MST, linear building groups are detected for typification. The typification level of a building group is determined by its distance to the viewpoint as well as its viewing angle. Next, the selected buildings are removed and the remaining ones are adjusted in each group separately. To preserve the building features and their spatial distribution, Attributed Relational Graph (ARC) and Nested Earth Mover's Distance (NEMD) are used to evaluate the difference between the original building objects and the generalized ones. The experimental results indicate that our method can reduce the number of buildings while preserving the visual similarity of the urban areas. (C) 2011 Elsevier Ltd. All rights reserved.

Department/s

  • Centre for Geographical Information Systems (GIS Centre)
  • eSSENCE: The e-Science Collaboration

Publishing year

2012

Language

English

Pages

233-244

Publication/Series

Computers, Environment and Urban Systems

Volume

36

Issue

3

Document type

Journal article

Publisher

Elsevier

Topic

  • Human Geography
  • Physical Geography

Keywords

  • 3D city models
  • Typification
  • Dynamic visualization
  • Minimum spanning
  • tree
  • Similarity measurement

Status

Published

ISBN/ISSN/Other

  • ISSN: 0198-9715