Journal Information
  Resources

 

3D Surface Reconstruction Using Compactly-Supported Radial Basis Functions: A Parametric Study

Gonçalo Moniz Silva Bernardo1,2 and Maria Amélia Ramos Loja1,2

1. ISEL, IPL-Instituto Superior de Engenharia de Lisboa, GI-MOSM, Grupo de Investigação em Modelação e Optimização de Sistemas Multifuncionais, Av. Conselheiro Emídio Navarro, 1, 1959-007 Lisboa, Portugal

2. LAETA, IDMEC-Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1, 1049-001 Lisboa, Portugal


Abstract:

The need for a relevant viable approach, to fit point clouds obtained by 3D laser scanning to a desirable surface, has been object of a substantial research effort and progress in the past two decades. This multidisciplinary investment is also reflected with a particular interest in civil engineering and architectural fields, in the sense that the information obtained can be used for heritage conservation or rehabilitation purposes with many advantages, namely the possibility to detain an effective up to date knowledge about the real state of a structure. The information enclosed in these point clouds enable a global characterization of the as-is condition of the structure at a given instant and its evolution in time. The development of a trustworthy and controlled approach for structure reconstruction is a complex process, especially if we want to optimize it in terms of the input parameters selection, which can be associated to the level of detail achieved. In the present work, the authors propose a hybrid reconstruction method, which is applied to synthetic point clouds, in order to characterize the influence of the process parameterization on the 3D surfaces reconstruction.



Key words: Points cloud, laser scanning, surface reconstruction, meshless method, compactly-supported radial functions, parametric study.
Download: Purchase PDF - $ 5