Spherical parameterization for 3D surface analysis in volumetric images

Li Shen, Fillia Makedon

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

2 Citations (Scopus)

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 Conference on Information Technology: Coding Computing, ITCC
EditorsP.K. Srimani, A. Abraham, M. Cannataro, J. Domingo-Ferrer, R. Hashemi
Pages643-649
Number of pages7
Volume1
StatePublished - 2004
Externally publishedYes
EventInternational Conference on Information Technology: Coding Computing, ITCC 2004 - Las Vegas, NV, United States
Duration: Apr 5 2004Apr 7 2004

Other

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

Fingerprint

Surface analysis
Parameterization
Linear control systems
Image analysis
Computer vision

ASJC Scopus subject areas

  • Engineering(all)

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 Conference on Information Technology: Coding Computing, ITCC (Vol. 1, pp. 643-649)

Spherical parameterization for 3D surface analysis in volumetric images. / Shen, Li; Makedon, Fillia.

International Conference on Information Technology: Coding Computing, ITCC. ed. / P.K. Srimani; A. Abraham; M. Cannataro; J. Domingo-Ferrer; R. Hashemi. Vol. 1 2004. p. 643-649.

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

Shen, L & Makedon, F 2004, Spherical parameterization for 3D surface analysis in volumetric images. in PK Srimani, A Abraham, M Cannataro, J Domingo-Ferrer & R Hashemi (eds), International Conference on Information Technology: Coding Computing, ITCC. vol. 1, pp. 643-649, International Conference on Information Technology: Coding Computing, ITCC 2004, Las Vegas, NV, United States, 4/5/04.
Shen L, Makedon F. Spherical parameterization for 3D surface analysis in volumetric images. In Srimani PK, Abraham A, Cannataro M, Domingo-Ferrer J, Hashemi R, editors, International Conference on Information Technology: Coding Computing, ITCC. Vol. 1. 2004. p. 643-649
Shen, Li ; Makedon, Fillia. / Spherical parameterization for 3D surface analysis in volumetric images. International Conference on Information Technology: Coding Computing, ITCC. editor / P.K. Srimani ; A. Abraham ; M. Cannataro ; J. Domingo-Ferrer ; R. Hashemi. Vol. 1 2004. pp. 643-649
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