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Proceedings Paper

Modeling urban LIDAR point clouds with combined 2D TIN and 3D tetrahedron structure
Author(s): Jun Wu; Honggang Liao; Menmen Chen; Zhiyong Peng
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Paper Abstract

This paper presents our research on exploring the combined 2D TIN and 3D Tetrahedra structure to quickly model large-range Urban LIDAR point clouds for 3D visualization purpose. To this end, Morphological grayscale reconstruction is first implemented to segment LIDAR point clouds into terrain and non-terrain regions. After that, segmented Lidar terrain points are modeled with Constrained Delaunay Triangulation under constrain of building boundary as well as non-terrain points are modeled with Power Crust algorithm to obtain reconstructed building surface. Next, two kinds of model are combined based on shared building boundary. Finally, 3D visualization of selected urban area with presented technique clearly demonstrates higherefficiency. Valuable conclusions are given as well.

Paper Details

Date Published: 27 October 2013
PDF: 5 pages
Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 891912 (27 October 2013); doi: 10.1117/12.2031094
Show Author Affiliations
Jun Wu, Guilin Univ. of Electronic Technology (China)
Honggang Liao, Guilin Univ. of electronic technology (China)
Menmen Chen, Guilin Univ. of Electronic Technology (China)
Zhiyong Peng, Guilin Univ. of Electronic Technology (China)


Published in SPIE Proceedings Vol. 8919:
MIPPR 2013: Pattern Recognition and Computer Vision
Zhiguo Cao, Editor(s)

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