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Lars Harrie

Professor

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Real-time visualization of 3D city models at street-level based on visual saliency

Författare

  • Mao Bo
  • Ban YiFang
  • Lars Harrie

Summary, in English

Street-level visualization is an important application of 3D city models. Challenges to street-level visualization include the cluttering of buildings due to fine detail and visualization performance. In this paper, a novel method is proposed for street-level visualization based on visual saliency evaluation. The basic idea of the method is to preserve these salient buildings in a scene while removing those that are non-salient. The method can be divided into pre-processing procedures and real-time visualization. The first step in pre-processing is to convert 3D building models at higher Levels of Detail (LoDs) into LoD1 models with simplified ground plans. Then, a number of index viewpoints are created along the streets; these indices refer to both the position and the direction of each street site. A visual saliency value is computed for each building, with respect to the index site, based on a visual difference between the original model and the generalized model. We calculate and evaluate three methods for visual saliency: local difference, global difference and minimum projection area. The real-time visualization process begins by mapping the observer to its closest indices. The street view is then generated based on the building information stored in those indexes. A user study shows that the local visual saliency method performs better than do the global visual saliency, area and image-based methods and that the framework proposed in this paper may improve the performance of 3D visualization.

Avdelning/ar

  • Institutionen för naturgeografi och ekosystemvetenskap

Publiceringsår

2015

Språk

Engelska

Sidor

448-461

Publikation/Tidskrift/Serie

Science China: Earth Sciences

Volym

58

Issue

3

Dokumenttyp

Artikel i tidskrift

Förlag

Science Press

Ämne

  • Physical Geography

Nyckelord

  • 3D city models
  • street level visualization
  • index viewpoints
  • visual
  • saliency

Aktiv

Published

ISBN/ISSN/Övrigt

  • ISSN: 1674-7313