Level set driven smooth curve approximation from unorganized or noisy point set

Autor: Alexandra Claisse, Pascal Frey
Rok vydání: 2009
Předmět:
Zdroj: ESAIM: Proceedings. 27:254-271
ISSN: 1270-900X
DOI: 10.1051/proc/2009031
Popis: In this paper, we propose a curve construction method for a non uniform point data set based on a minimal curve approximation model. Numerically, the level set method is used for curve reconstruction. We represent the shape of the curve through its distance function and formulate curve reconstruction as a constrained minimization problem. We solve the minimization problem on a highly anisotropic triangulation to improve the accuracy of the numerical scheme. This method can handle complex geometries and deal with arbitrary topologies as well as with noisy data sets. Several numerical examples are provided to show the eciency of the proposed approach.
Databáze: OpenAIRE