Genetic algorithms for gielis surface recovery from 3D data sets

Y. Bokhabrine, Y. D. Fougerolle, S. Foufou, F. Truchetet

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we apply genetic algorithms to reconstruct Gielis surfaces from 3D data sets. The Levenberg-Marquardt method has been used as a standard for superquadrics recovery and has recently been extended to Gielis surfaces. Unfortunately, the non homogeneity of the Gielis surface parameters requires additional heuristic to determine discrete parameters such as the number of symmetries. Genetic algorithms overcome this issue and provide a more general framework for Gielis surface reconstruction.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
PagesII549-II552
DOIs
StatePublished - 2007
Event14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States
Duration: Sep 16 2007Sep 19 2007

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2
ISSN (Print)1522-4880

Other

Other14th IEEE International Conference on Image Processing, ICIP 2007
CountryUnited States
CitySan Antonio, TX
Period9/16/079/19/07

Keywords

  • Genetic algorithms
  • Geometric modeling
  • Gielis surfaces
  • Superquadrics
  • Supershapes
  • Surface reconstruction

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Genetic algorithms for gielis surface recovery from 3D data sets'. Together they form a unique fingerprint.

  • Cite this

    Bokhabrine, Y., Fougerolle, Y. D., Foufou, S., & Truchetet, F. (2007). Genetic algorithms for gielis surface recovery from 3D data sets. In 2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings (pp. II549-II552). [4379214] (Proceedings - International Conference on Image Processing, ICIP; Vol. 2). https://doi.org/10.1109/ICIP.2007.4379214