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General Information
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2013 Vol.3(4): 333-336 ISSN: 2010-3697
DOI: 10.7763/IJMO.2013.V3.293

Multi-Resolution Triangular Approximation of Terrains

Yong H. Chung, Dae S. Chang, Ka R. Yang, Ji W. Oh, Kang H. Cho, and Sang C. Park

Abstract—Presented in this paper is a procedure to generate multi-resolution models for a terrain height field. Although there have been many existing algorithms for simplifying geometric models, they cannot be applied to a height field, because most of them have been developed in the context of triangular meshes. An intuitive way is to apply existing algorithms after converting the height field into a triangular mesh. However, the conversion procedure requires an additional computational load as well as a large amount of memory as a general triangular mesh needs to maintain the topology information as well as the geometry information. To cope with the problems, we propose a procedure working directly on a height field. The proposed algorithm has been implemented and tested with various examples.

Index Terms—Height field, multi-resolution, quadric error metrics, simplification.

Y. H. Chung, D. S. Chang, K. R. Yang, J. W. Oh, and K. H. Cho are with the Department of Industrial Engineering Ajou University, Yeongtong-Gu, Suwon, Republic of Korea (e-mail: yongho1230@gmail.com, webmacome@ajou.ac.kr, vision0429@ajou.ac.kr, ohjiwoong@ajou.ac.kr, sung15jin@gmail.com).
S. C. Park is with the Department of Industrial Engineering Ajou University, Yeongtong-Gu, Suwon, Republic of Korea (Corresponding author, e-mail: scpark@ajou.ac.kr).

[PDF]

Cite:Yong H. Chung, Dae S. Chang, Ka R. Yang, Ji W. Oh, Kang H. Cho, and Sang C. Park, "Multi-Resolution Triangular Approximation of Terrains," International Journal of Modeling and Optimization vol. 3, no. 4, pp. 333-336, 2013.

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