Supershape recovery from 3D data sets

Y. D. Fougerolle, A. Gribok, S. Foufou, E. Truchetet, M. A. Abidi

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

Abstract

In this paper, we apply supershapes and R-functions to surface recovery from 3D data sets. Individual supershapes are separately recovered from a segmented mesh. R-functions are used to perform Boolean operations between the reconstructed parts to obtain a single implicit equation of the reconstructed object that is used to define a global error reconstruction function. We present surface recovery results ranging from single synthetic data to real complex objects involving the composition of several supershapes and holes.

Original languageEnglish (US)
Title of host publication2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
Pages2193-2196
Number of pages4
DOIs
StatePublished - 2006
Event2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States
Duration: Oct 8 2006Oct 11 2006

Publication series

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

Other

Other2006 IEEE International Conference on Image Processing, ICIP 2006
CountryUnited States
CityAtlanta, GA
Period10/8/0610/11/06

Keywords

  • Boolean functions
  • Geometric modeling
  • Signal reconstruction

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Fougerolle, Y. D., Gribok, A., Foufou, S., Truchetet, E., & Abidi, M. A. (2006). Supershape recovery from 3D data sets. In 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings (pp. 2193-2196). [4106999] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2006.312975