Large-scale modeling of parametric surfaces using spherical harmonics

Li Shen, Moo K. Chung

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

43 Scopus citations

Abstract

We present an approach for large-scale modeling of parametric surfaces using spherical harmonics (SHs). A standard least square fitting (LSF) method for SH expansion is not scalable and cannot accurately model large 3D surfaces. We propose an iterative residual fitting (IRF) algorithm, and demonstrate its effectiveness and scalability in creating accurate SH models for large 3D surfaces. These large-scale and accurate parametric models can be used in many applications in computer vision, graphics, and biomedical imaging. As a simple extension of LSF, IRF is very easy to implement and requires few machine resources.

Original languageEnglish (US)
Title of host publicationProceedings - 3rd International Symposium on 3D Data Processing, Visualization, and Transmission, 3DPVT 2006
PublisherIEEE Computer Society
Pages294-301
Number of pages8
ISBN (Print)0769528252, 9780769528250
DOIs
StatePublished - Jan 1 2006
Event3rd International Symposium on 3D Data Processing, Visualization, and Transmission, 3DPVT 2006 - Chapel Hill, NC, United States
Duration: Jun 14 2006Jun 16 2006

Publication series

NameProceedings - Third International Symposium on 3D Data Processing, Visualization, and Transmission, 3DPVT 2006

Other

Other3rd International Symposium on 3D Data Processing, Visualization, and Transmission, 3DPVT 2006
CountryUnited States
CityChapel Hill, NC
Period6/14/066/16/06

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Large-scale modeling of parametric surfaces using spherical harmonics'. Together they form a unique fingerprint.

  • Cite this

    Shen, L., & Chung, M. K. (2006). Large-scale modeling of parametric surfaces using spherical harmonics. In Proceedings - 3rd International Symposium on 3D Data Processing, Visualization, and Transmission, 3DPVT 2006 (pp. 294-301). [4155740] (Proceedings - Third International Symposium on 3D Data Processing, Visualization, and Transmission, 3DPVT 2006). IEEE Computer Society. https://doi.org/10.1109/3DPVT.2006.86