The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XXXVIII-5/W12
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-5/W12, 203–208, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-5-W12-203-2011
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-5/W12, 203–208, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-5-W12-203-2011

  05 Sep 2012

05 Sep 2012

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

T. Maeno, H. Date, and S. Kanai T. Maeno et al.
  • Graduate School of Information Science and Technology, Hokkaido University, Sapporo 060-0814, Japan

Keywords: Multiple Point Clouds, Octree, LOD, Laser Scanning, Data Management, Data Search, Rendering

Abstract. 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.