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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/5305192
- author
- Bo, Mao
; YiFang, Ban
and Harrie, Lars
LU
- organization
- publishing date
- 2015
- 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
- 2016-04-01 10:18:23
- date last changed
- 2022-03-12 04:33:11
@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}},
keywords = {{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}},
doi = {{10.1007/s11430-014-4955-8}},
volume = {{58}},
year = {{2015}},
}