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OPTIMIZATION OF POINT CLOUD DATA FOR SURFACE REPRESENTATION OF OBJECTS WITH COMPLICATED STRUCTURE

Ing. Jana FAIXOVA CHALACHANOVA, PhD., Ing. Renata DURACIOVA

First published: 2017-06-20https://doi.org/10.5593/sgem2017/21/s08.129View metrics

Abstract

The paper deals with optimization of point cloud data processing for surface representation of objects with complicated structure. The model object in our research is represented by a coniferous tree with difficult structure obtained by the method of terrestrial laser scanning. Its precise geometric expression and vector representation is essential and it provides the basis to study the impact of natural conditions to the state and development of the coniferous tree using geographical information systems in the field of forest protection management systems. Currently used methods of mesh creating from point cloud data are mainly based on the marching cubes algorithm with various modifications like implementation of non-linear regression, Poisson surface reconstruction, level set methods, etc. However, when complicated structures with missing parts of point data are visualized, these methods need to be optimized in accordance with requirement of the marching cubes algorithm, where surface can to intersect each cube only once. Therefore, the result of this paper is proposal of the process of cube size optimization due to raw point cloud data and computation of new regular data structure for visualization of objects using the marching cubes algorithm.

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Publication details

Title
OPTIMIZATION OF POINT CLOUD DATA FOR SURFACE REPRESENTATION OF OBJECTS WITH COMPLICATED STRUCTURE
Authors
Ing. Jana FAIXOVA CHALACHANOVA, PhD., Ing. Renata DURACIOVA
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
1021-1028
SWS Citekey
FAIXOVACHALACHANOVA2017810211028
ISSN
1314-2704
ISBN
978-619-7408-01-0
Language
en
Publication type
Conference Paper
Keywords
marching cubes algorithmmeshpoint cloud dataoptimization
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