A DATA MANAGEMENT METHOD FOR EFFICIENT SEARCH AND RENDERING OF MULTIPLE LARGE SCALE POINT CLOUDS

A DATA MANAGEMENT METHOD FOR EFFICIENT SEARCH AND RENDERING OF MULTIPLE LARGE SCALE POINT CLOUDS

Recently, with the progress of laser scanning technology, it has become possible to scan several environments such as buildings, roads, and cities easily and at a low cost. There are typically three scanning methods: TLS (Terrestrial Laser Scanning), MMS (Mobile Mapping System), and ALS (Airborne La...

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Main Authors: T. Maeno, H. Date, S. Kanai
Format: Article
Language:English
Published: Copernicus Publications 2012-09-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-5-W12/203/2011/isprsarchives-XXXVIII-5-W12-203-2011.pdf
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spelling doaj-f895c23f87654e50bc37b19360345a3d2020-11-24T21:59:20ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342012-09-01XXXVIII-5/W1220320810.5194/isprsarchives-XXXVIII-5-W12-203-2011A DATA MANAGEMENT METHOD FOR EFFICIENT SEARCH AND RENDERING OF MULTIPLE LARGE SCALE POINT CLOUDST. Maeno0H. Date1S. Kanai2Graduate School of Information Science and Technology, Hokkaido University, Sapporo 060-0814, JapanGraduate School of Information Science and Technology, Hokkaido University, Sapporo 060-0814, JapanGraduate School of Information Science and Technology, Hokkaido University, Sapporo 060-0814, JapanRecently, with the progress of laser scanning technology, it has become possible to scan several environments such as buildings, roads, and cities easily and at a low cost. There are typically three scanning methods: TLS (Terrestrial Laser Scanning), MMS (Mobile Mapping System), and ALS (Airborne Laser Scanning), and the environments are scanned for measurement, modelling, and simulation etc. Therefore, an efficient and comprehensive data management method, which can handle these point clouds in various applications is strongly required. In this paper, we describe a method of data management for efficient search and rendering of multiple large scale point clouds. First, we define a general point cloud file format including the octree and the quantization structure. Next, the data management method enabling an efficient search and rendering of the point clouds is proposed. Finally, the effectiveness of our method is verified using several actual data sets.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-5-W12/203/2011/isprsarchives-XXXVIII-5-W12-203-2011.pdf
collection DOAJ
language English
format Article
sources DOAJ
author T. Maeno
H. Date
S. Kanai
spellingShingle T. Maeno
H. Date
S. Kanai
A DATA MANAGEMENT METHOD FOR EFFICIENT SEARCH AND RENDERING OF MULTIPLE LARGE SCALE POINT CLOUDS
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet T. Maeno
H. Date
S. Kanai
author_sort T. Maeno
title A DATA MANAGEMENT METHOD FOR EFFICIENT SEARCH AND RENDERING OF MULTIPLE LARGE SCALE POINT CLOUDS
title_short A DATA MANAGEMENT METHOD FOR EFFICIENT SEARCH AND RENDERING OF MULTIPLE LARGE SCALE POINT CLOUDS
title_full A DATA MANAGEMENT METHOD FOR EFFICIENT SEARCH AND RENDERING OF MULTIPLE LARGE SCALE POINT CLOUDS
title_fullStr A DATA MANAGEMENT METHOD FOR EFFICIENT SEARCH AND RENDERING OF MULTIPLE LARGE SCALE POINT CLOUDS
title_full_unstemmed A DATA MANAGEMENT METHOD FOR EFFICIENT SEARCH AND RENDERING OF MULTIPLE LARGE SCALE POINT CLOUDS
title_sort data management method for efficient search and rendering of multiple large scale point clouds
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2012-09-01
description Recently, with the progress of laser scanning technology, it has become possible to scan several environments such as buildings, roads, and cities easily and at a low cost. There are typically three scanning methods: TLS (Terrestrial Laser Scanning), MMS (Mobile Mapping System), and ALS (Airborne Laser Scanning), and the environments are scanned for measurement, modelling, and simulation etc. Therefore, an efficient and comprehensive data management method, which can handle these point clouds in various applications is strongly required. In this paper, we describe a method of data management for efficient search and rendering of multiple large scale point clouds. First, we define a general point cloud file format including the octree and the quantization structure. Next, the data management method enabling an efficient search and rendering of the point clouds is proposed. Finally, the effectiveness of our method is verified using several actual data sets.
url http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-5-W12/203/2011/isprsarchives-XXXVIII-5-W12-203-2011.pdf
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