Surface harmonics for shape modeling

Heng Huang, Li Shen

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

Abstract

We present an approach for three dimensional (3D) shape modeling using Jacobi polynomials based surface harmonics. Because we construct a set of complete hemispherical harmonic basis functions on a hemisphere domain from the associated Jacobi polynomials, our shape modeling method work efficiently on the open hemisphere-like objects that often exist in medical anatomical structures (e.g., ventricles, atriums, etc.). We demonstrate the effectiveness of our approach through theoretic and experimental exploration of a set of medical image applications.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
PagesII553-II556
DOIs
StatePublished - Dec 1 2007
Externally publishedYes
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

  • Medical image computing
  • Shape modeling

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Huang, H., & Shen, L. (2007). Surface harmonics for shape modeling. In 2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings (pp. II553-II556). [4379215] (Proceedings - International Conference on Image Processing, ICIP; Vol. 2). https://doi.org/10.1109/ICIP.2007.4379215