Volume 7 Number 5 (May. 2012)
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JSW 2012 Vol.7(5): 1066-1073 ISSN: 1796-217X
doi: 10.4304/jsw.7.5.1066-1073

Uniform Sampling in Geodesic Metric for LOD Generation

Wenguang HOU1, Mingyue DING1, and Xudong LAI2
1College of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, 430074, China
2School of Remote Sensing & Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

Abstract—This paper describes a level-of-detail generation approach for large scale models. To make LODs preserve the overall appearance of original data, the presented approach is to perform uniform sampling in geodesic metric, resulting in adaptive meshes or points in Euclidean metric. Geometric attribute such as curvature help to establish geodesic metric and therefore control the sampling ratios in different regions. This method is rather simple and LODs are very fit for display. Some cases are provided to illustrate the capability and feasibility of the method for both meshes and unorganized points.

Index Terms—LOD, Geodesic Metric, Poisson Disk, FPS, Adaptive Sampling


Cite: Wenguang HOU, Mingyue DING, and Xudong LAI, "Uniform Sampling in Geodesic Metric for LOD Generation," Journal of Software vol. 7, no. 5, pp. 1066-1073, 2012.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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