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

Bo, Mao; YiFang, Ban and Harrie, Lars LU (2015) In Science China: Earth Sciences 58(3). p.448-461
Abstract
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... (More)
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. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
3D city models, street level visualization, index viewpoints, visual, saliency
in
Science China: Earth Sciences
volume
58
issue
3
pages
448 - 461
publisher
Science Press
external identifiers
  • wos:000349767600012
  • scopus:84925491759
ISSN
1674-7313
DOI
10.1007/s11430-014-4955-8
language
English
LU publication?
yes
id
cec61eb3-a01f-4593-be39-d4dcf4ce1a8d (old id 5305192)
date added to LUP
2015-04-27 11:43:40
date last changed
2017-01-01 03:27:59
@article{cec61eb3-a01f-4593-be39-d4dcf4ce1a8d,
  abstract     = {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.},
  author       = {Bo, Mao and YiFang, Ban and Harrie, Lars},
  issn         = {1674-7313},
  keyword      = {3D city models,street level visualization,index viewpoints,visual,saliency},
  language     = {eng},
  number       = {3},
  pages        = {448--461},
  publisher    = {Science Press},
  series       = {Science China: Earth Sciences},
  title        = {Real-time visualization of 3D city models at street-level based on visual saliency},
  url          = {http://dx.doi.org/10.1007/s11430-014-4955-8},
  volume       = {58},
  year         = {2015},
}