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A Study of 3D Modeling of Compressed Urban LiDAR Data Using VRML  

Jang, Young-Woon (전북대학교 공과대학 토목공학과)
Choi, Yun-Woong (조선이공대 토목건설과)
Cho, Gi-Sung (전북대학교 공과대학 토목공학과)
Publication Information
Journal of Korean Society for Geospatial Information Science / v.19, no.2, 2011 , pp. 3-8 More about this Journal
Abstract
Recently, the demand for enterprise for service map providing and portal site services of a 3D virtual city model for public users has been expanding. Also, accuracy of the data, transfer rate and the update for the update for the lapse of time emerge are considered as more impertant factors, by providing 3D information with the web or mobile devices. With the latest technology, we have seen various 3D data through the web. With the VRML progressing actively, because it can provide a virtual display of the world and all aspects of interaction with web. It offers installation of simple plug-in without extra cost on the web. LiDAR system can obtain spatial data easily and accurately, as supprted by numerous researches and applications. However, in general, LiDAR data is obtained in the form of an irregular point cloud. So, in case of using data without converting, high processor is needed for presenting 2D forms from point data composed of 3D data and the data increase. This study expresses urban LiDAR data in 3D, 2D raster data that was applied by compressing algorithm that was used for solving the problems of large storage space and processing. For expressing 3D, algorithm that converts compressed LiDAR data into code Suited to VRML was made. Finally, urban area was expressed in 3D with expressing ground and feature separately.
Keywords
3D Modeling; Compressed LiDAR Data; VRML;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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