Interpolation centers' selection using hierarchical curvature-based clustering

Main Article Content

Juan C. Rodríguez
Diego Del Portillo Z
Germán Sánchez Torres

Abstract

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.


How to Cite
Rodríguez, J. C., Del Portillo Z, D., & Sánchez Torres, G. (2011). Interpolation centers’ selection using hierarchical curvature-based clustering. Revista Ingenierías Universidad De Medellín, 9(17), 131–138. Retrieved from https://revistas.udem.edu.co/index.php/ingenierias/article/view/170

Article Details

Author Biographies

Juan C. Rodríguez, National University of Colombia

System Engineer, Master student of System and Informatics at National University of Colombia.

Diego Del Portillo Z, National University of Colombia

System Engineer, Master student of System and Informatics at National University of Colombia. Investigación y Desarrollo en Nuevas Tecnologías de la Información y la Comunicación, Magdalena University, Santa Marta.

Germán Sánchez Torres, Magdalena University

PhD candidate at National University of Colombia, Professor Faculty of Engineering at Magdalena University.Researchgroup: Investigación y Desarrollo en Nuevas Tecnologías de la Información y la Comunicación.