id 
caadria2011_031 
authors 
Fukuda, Tomohiro; Kensuke Kitagawa and Nobuyoshi Yabuki 
year 
2011 
title 
A study of variation of normal of polygons created by point cloud data for architectural renovation field 
source 
Proceedings of the 16th International Conference on Computer Aided Architectural Design Research in Asia / The University of Newcastle, Australia 2729 April 2011, pp. 321330 
summary 
Acquiring current 3D space data of cities, buildings, and rooms rapidly and in detail has become indispensable. When the point cloud data of an object or space scanned by a 3D laser scanner is converted into polygons, it is an accumulation of small polygons. When object or space is a closed flat plane, it is necessary to merge small polygons to reduce the volume of data, and to convert them into one polygon. When an object or space is a closed flat plane, each normal vector of small polygons theoretically has the same angle. However, in practise, these angles are not the same. Therefore, the purpose of this study is to clarify the variation of the angle of a small polygon group that should become one polygon based on actual data. As a result of experimentation, no small polygons are converted by the point cloud data scanned with the 3D laser scanner even if the group of small polygons is a closed flat plane lying in the same plane. When the standard deviation of the extracted number of polygons is assumed to be less than 100, the variation of the angle of the normal vector is roughly 7 degrees. 
keywords 
Point cloud; 3D laser scanner; physical space; virtual reality; polygon optimization 
series 
CAADRIA 
email 
fukuda@see.eng.osakau.ac.jp 
full text 
file.pdf (1,075,108 bytes) 
references 
Contenttype: text/plain

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last changed 
2012/05/30 19:29 
