• DocumentCode
    263800
  • Title

    On Reliable Estimation of Curvatures of Implicit Surfaces

  • Author

    Hauenstein, Jacob D. ; Newman, Timothy S.

  • Author_Institution
    Univ. of Alabama in Huntsville, Huntsville, AL, USA
  • Volume
    1
  • fYear
    2014
  • fDate
    8-11 Dec. 2014
  • Firstpage
    697
  • Lastpage
    704
  • Abstract
    Estimation of curvature in volumetric datasets is considered. One component of the exhibition here is new extensions of several known methods for such estimations in range images to the new domain of volumetric datasets. A second component is that the (1) accuracy and (2) computational performance of these extensions (and five well-known existing methods for curvature estimation in volumetric datasets) are comparatively examined.
  • Keywords
    computerised instrumentation; curvature measurement; estimation theory; image processing; reliability; image estimation; implicit surface curvature estimation; reliability; volumetric domain dataset; Accuracy; Convolution; Estimation; Kernel; Linear regression; Splines (mathematics); Tensile stress; curvature; registration; volume data; volume visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    3D Vision (3DV), 2014 2nd International Conference on
  • Conference_Location
    Tokyo
  • Type

    conf

  • DOI
    10.1109/3DV.2014.30
  • Filename
    7035887