Spherical parameterization for 3D surface analysis in volumetric images

Li Shen, Fillia Makedon

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

4 Scopus citations

Abstract

We propose a new spherical parameterization algorithm for general genus-zero surfaces that aims to control the area and length distortions at the same time. Prior work either considers only the length distortion or applies only to volumetric surfaces. Our algorithm starts from an initial parameterization, performs local and global smoothing steps alternately to improve the mapping quality, and converges to the solution. The local method minimizes the area distortion at a local submesh by solving a linear system as well as controls the length distortion. The global method attempts to reduce the area distortion by equalizing its distribution over the whole sphere. We perform experimental studies showing the effectiveness of the technique. Our new algorithm has many applications in medical image analysis, computer vision, graphics and multimedia databases.

Original languageEnglish (US)
Title of host publicationInternational Conferen ON Information Technology
Subtitle of host publicationCoding Computing, ITCC 2004
EditorsP.K. Srimani, A. Abraham, M. Cannataro, J. Domingo-Ferrer, R. Hashemi
Pages643-649
Number of pages7
StatePublished - Jul 7 2004
Externally publishedYes
EventInternational Conference on Information Technology: Coding Computing, ITCC 2004 - Las Vegas, NV, United States
Duration: Apr 5 2004Apr 7 2004

Publication series

NameInternational Conference on Information Technology: Coding Computing, ITCC
Volume1

Other

OtherInternational Conference on Information Technology: Coding Computing, ITCC 2004
CountryUnited States
CityLas Vegas, NV
Period4/5/044/7/04

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Engineering(all)

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  • Cite this

    Shen, L., & Makedon, F. (2004). Spherical parameterization for 3D surface analysis in volumetric images. In P. K. Srimani, A. Abraham, M. Cannataro, J. Domingo-Ferrer, & R. Hashemi (Eds.), International Conferen ON Information Technology: Coding Computing, ITCC 2004 (pp. 643-649). (International Conference on Information Technology: Coding Computing, ITCC; Vol. 1).