Transparent Collision Visualization of Point Clouds Acquired by Laser Scanning

In this paper, we propose a method to visualize large-scale colliding point clouds by highlighting their collision areas, and apply the method to visualization of collision simulation. Our method uses our recent work that achieved precise three-dimensional see-through imaging, i.e., transparent visu...

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Main Authors: Weite Li, Kenya Shigeta, Kyoko Hasegawa, Liang Li, Keiji Yano, Motoaki Adachi, Satoshi Tanaka
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/8/9/425
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author Weite Li
Kenya Shigeta
Kyoko Hasegawa
Liang Li
Keiji Yano
Motoaki Adachi
Satoshi Tanaka
author_facet Weite Li
Kenya Shigeta
Kyoko Hasegawa
Liang Li
Keiji Yano
Motoaki Adachi
Satoshi Tanaka
author_sort Weite Li
collection DOAJ
description In this paper, we propose a method to visualize large-scale colliding point clouds by highlighting their collision areas, and apply the method to visualization of collision simulation. Our method uses our recent work that achieved precise three-dimensional see-through imaging, i.e., transparent visualization, of large-scale point clouds that were acquired via laser scanning of three-dimensional objects. We apply the proposed collision visualization method to two applications: (1) The revival of the festival float procession of the Gion Festival, Kyoto city, Japan. The city government plans to revive the original procession route, which is narrow and not used at present. For the revival, it is important to know whether the festival floats would collide with houses, billboards, electric wires, or other objects along the original route. (2) Plant simulations based on laser-scanned datasets of existing and new facilities. The advantageous features of our method are the following: (1) A transparent visualization with a correct depth feel that is helpful to robustly determine the collision areas; (2) the ability to visualize high collision risk areas and real collision areas; and (3) the ability to highlight target visualized areas by increasing the corresponding point densities.
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spelling doaj.art-be721172fcac4d3f819008cb9024657a2022-12-22T02:01:21ZengMDPI AGISPRS International Journal of Geo-Information2220-99642019-09-018942510.3390/ijgi8090425ijgi8090425Transparent Collision Visualization of Point Clouds Acquired by Laser ScanningWeite Li0Kenya Shigeta1Kyoko Hasegawa2Liang Li3Keiji Yano4Motoaki Adachi5Satoshi Tanaka6College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga 525-8577, JapanCollege of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga 525-8577, JapanCollege of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga 525-8577, JapanCollege of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga 525-8577, JapanDepartment of Geography, Ritsumeikan University, Kita-ku, Kyoto 603-8577, JapanShrewd Design Co. Ltd., Fushimi-ku, Kyoto, Kyoto 612-8362, JapanCollege of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga 525-8577, JapanIn this paper, we propose a method to visualize large-scale colliding point clouds by highlighting their collision areas, and apply the method to visualization of collision simulation. Our method uses our recent work that achieved precise three-dimensional see-through imaging, i.e., transparent visualization, of large-scale point clouds that were acquired via laser scanning of three-dimensional objects. We apply the proposed collision visualization method to two applications: (1) The revival of the festival float procession of the Gion Festival, Kyoto city, Japan. The city government plans to revive the original procession route, which is narrow and not used at present. For the revival, it is important to know whether the festival floats would collide with houses, billboards, electric wires, or other objects along the original route. (2) Plant simulations based on laser-scanned datasets of existing and new facilities. The advantageous features of our method are the following: (1) A transparent visualization with a correct depth feel that is helpful to robustly determine the collision areas; (2) the ability to visualize high collision risk areas and real collision areas; and (3) the ability to highlight target visualized areas by increasing the corresponding point densities.https://www.mdpi.com/2220-9964/8/9/425laser-scanned point cloudcultural heritageplant simulationcollision visualizationstochastic collision search
spellingShingle Weite Li
Kenya Shigeta
Kyoko Hasegawa
Liang Li
Keiji Yano
Motoaki Adachi
Satoshi Tanaka
Transparent Collision Visualization of Point Clouds Acquired by Laser Scanning
ISPRS International Journal of Geo-Information
laser-scanned point cloud
cultural heritage
plant simulation
collision visualization
stochastic collision search
title Transparent Collision Visualization of Point Clouds Acquired by Laser Scanning
title_full Transparent Collision Visualization of Point Clouds Acquired by Laser Scanning
title_fullStr Transparent Collision Visualization of Point Clouds Acquired by Laser Scanning
title_full_unstemmed Transparent Collision Visualization of Point Clouds Acquired by Laser Scanning
title_short Transparent Collision Visualization of Point Clouds Acquired by Laser Scanning
title_sort transparent collision visualization of point clouds acquired by laser scanning
topic laser-scanned point cloud
cultural heritage
plant simulation
collision visualization
stochastic collision search
url https://www.mdpi.com/2220-9964/8/9/425
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AT liangli transparentcollisionvisualizationofpointcloudsacquiredbylaserscanning
AT keijiyano transparentcollisionvisualizationofpointcloudsacquiredbylaserscanning
AT motoakiadachi transparentcollisionvisualizationofpointcloudsacquiredbylaserscanning
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