DOI: 10.5593/sgem2017/21/S08.129


J. Faixova Chalachanova, R. Duraciova, K. Tapajnova
Wednesday 13 September 2017 by Libadmin2017

References: 17th International Multidisciplinary Scientific GeoConference SGEM 2017, www.sgem.org, SGEM2017 Conference Proceedings, ISBN 978-619-7408-01-0 / ISSN 1314-2704, 29 June - 5 July, 2017, Vol. 17, Issue 21, 1021-1028 pp, DOI: 10.5593/sgem2017/21/S08.129


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.

Keywords: marching cubes algorithm, mesh, point cloud data, optimization

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