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Optimization of Quadtree Triangulation for Terrain Models

  • Conference paper
Book cover Advanced Concepts for Intelligent Vision Systems (ACIVS 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4678))

Abstract

The aim of the study is to increase the accuracy of a terrain triangulation while maintaining or reducing the number of triangles. To this end, a non-trivial algorithm for quadtree triangulation is proposed. The proposed algorithm includes: i) a resolution parameters calculation technique and ii) three error metric calculation techniques. Simulation software is also devised to apply the proposed algorithm. Initially, a data file is read to obtain the elevation data of a terrain. After that, a 3D mesh is generated by using the original quadtree triangulation algorithm and the proposed algorithm. For each of the algorithms, two situations are analyzed: i) the situation with fixed resolution parameters and ii) the situation with dynamically changing resolution parameters. For all of the cases, terrain accuracy value and number of triangles of 3D meshes are calculated and evaluated. Finally, it is shown that dynamically changing resolution parameters improve the algorithms’ performance.

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Jacques Blanc-Talon Wilfried Philips Dan Popescu Paul Scheunders

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© 2007 Springer-Verlag Berlin Heidelberg

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Samet, R., Ozsavas, E. (2007). Optimization of Quadtree Triangulation for Terrain Models. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2007. Lecture Notes in Computer Science, vol 4678. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74607-2_5

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  • DOI: https://doi.org/10.1007/978-3-540-74607-2_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74606-5

  • Online ISBN: 978-3-540-74607-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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