3d data acquisition for indoor assets using terrestrial laser scanning
Clicks: 193
ID: 134595
2013
The newly development of technology clearly shows an improvement of three-dimension (3D) data acquisition techniques. The
requirements of 3D information and features have been obviously increased during past few years in many related fields. Generally,
3D visualization can provide more understanding and better analysis for making decision. The need of 3D GIS also pushed by the
highly demand of 3D in geospatial related applications as well as the existing fast and accurate 3D data collection techniques. This
paper focuses on the 3D data acquisition by using terrestrial laser scanning. In this study, Leica C10 terrestrial laser scanner was
used to collect 3D data of the assets inside a computer laboratory. The laser scanner device is able to capture 3D point cloud data
with high speed and high accuracy. A series of point clouds was produced from the laser scanner. However, more attention must be
paid during the point clouds data processing, 3D modelling, and analysis of the laser scanned data. Hence, this paper will discuss
about the data processing from 3D point clouds to 3D models. The processing of point cloud data divided into pre-processing (data
registration and noise filter) and post-processing (3D modelling). During the process, Leica Cyclone 7.3 was used to process the
point clouds and SketchUp was used to construct the 3D asset models. Afterward, the 3D asset models were exported to multipatch
geometry format, which is a 3D GIS-ready format for displaying and storing 3D model in GIS environment. The final result of this
study is a set of 3D asset models display in GIS-ready format since GIS can provides the best visual interpretation, planning and
decision making process. This paper shows the 3D GIS data could be produced by laser scanning technology after further processing
of point cloud data.
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lee2013isprs3d
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Authors | ;S. Y. Lee;Z. Majid;H. Setan |
Journal | kolner zeitschrift fur soziologie und sozialpsychologie |
Year | 2013 |
DOI | 10.5194/isprsannals-II-2-W1-221-2013 |
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