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| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad de Medellín
2010
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| Online Access: | https://www.redalyc.org/articulo.oa?id=75017164016 |
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Table of Contents:
- INTERPOLATION CENTERS' SELECTION USING HIERARCHICAL CURVATURE-BASED CLUSTERING Juan C. Rodríguez Diego Del Portillo Z Germán Sánchez Torres Ingeniería Clustering range data point simplification It is widely known that some fields related to graphic applications require realistic and full detailed three-dimensional models. Technologies for this kind of applications exist. However, in some cases, laser scanner get complex models composed of million of points, making its computationally difficult. In these cases, it is desirable to obtain a reduced set of these samples to reconstruct the function's surface. An appropriate reduction approach with a non-significant loss of accuracy in the reconstructed function with a good balance of computational load is usually a non-trivial problem. In this article, a hierarchical clustering based method by the selection of center using the geometric distribution and curvature estimation of the samples in the 3D space is described. 2010 artículo científico 1692-3324 https://www.redalyc.org/articulo.oa?id=75017164016 en http://www.redalyc.org/revista.oa?id=750 Revista Ingenierías Universidad de Medellín application/pdf Universidad de Medellín Revista Ingenierías Universidad de Medellín (Colombia) Num.17 Vol.9