3D Shape Reconstruction of Template Models Using Genetic Algorithms

  • Authors:
  • P.-A. Fayolle;C. Rosenberger;C. Toinard

  • Affiliations:
  • University of Aizu, Japan;Université d'Orléans, France;Université d'Orléans, France

  • Venue:
  • ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present in this communication a method, which enables to fit a 3D object defined by a functional representation (FRep) to a dataset of 3D points on its surface. A parametric FRep model sketching the point-set is fitted to the point-set. The best fitted parameters of the model are obtained by using a genetic algorithm, well known for its interesting properties in non-linear optimization. The efficiency of the approach is illustrated for reverse engineering applications.