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[MI+97]  Extracting Feature Lines from 3D Unstructured Grids

Ma:1997:EFL (In proceedings)
Author(s)Ma K.L. and Interrante V.
Title« Extracting Feature Lines from 3D Unstructured Grids »
InProceedings of the 8[textsuperscript]th IEEE Conference on Visualization '97 (VIS '97, October 19--24, 1997, Phoenix, AZ)
Page(s)285--292, 553
Year1997
PublisherIEEE Computer Society
AddressLos Alamitos, CA
URLhttp://doi.acm.org/10.1145/267085

Abstract
The paper discusses techniques for extracting feature lines from three-dimensional unstructured grids. The twin objectives are to facilitate the interactive manipulation of these typically very large and dense meshes, and to clarify the visualization of the solution data that accompanies them. The authors describe the perceptual importance of specific viewpoint-dependent and view-independent features, discuss the relative advantages and disadvantages of several alternative algorithms for identifying these features (taking into consideration both local and global criteria), and demonstrate the results of these methods on a variety of different data sets.

BibTeX code
@inproceedings{Ma:1997:EFL,
  opteditor = {},
  optpostscript = {},
  optorganization = {},
  author = {Kwan-Liu Ma and Victoria Interrante},
  optkey = {},
  optannote = {},
  optseries = {},
  url = {http://doi.acm.org/10.1145/267085},
  address = IEEEAdr,
  localfile = {papers/Ma.1997.EFL.pdf},
  optisbn = {},
  publisher = IEEEPub,
  optkeywords = {},
  optmonth = {},
  optciteseer = {},
  doi = {http://dx.doi.org/10.1109/VISUAL.1997.663894},
  optcrossref = {},
  optwww = {},
  booktitle = {Proceedings of the 8\textsuperscript{th} IEEE Conference on
               Visualization '97 (VIS '97, October 19--24, 1997, Phoenix, AZ)},
  optvolume = {},
  optnumber = {},
  abstract = {The paper discusses techniques for extracting feature lines from
              three-dimensional unstructured grids. The twin objectives are to
              facilitate the interactive manipulation of these typically very
              large and dense meshes, and to clarify the visualization of the
              solution data that accompanies them. The authors describe the
              perceptual importance of specific viewpoint-dependent and
              view-independent features, discuss the relative advantages and
              disadvantages of several alternative algorithms for identifying
              these features (taking into consideration both local and global
              criteria), and demonstrate the results of these methods on a
              variety of different data sets.},
  title = {{E}xtracting {F}eature {L}ines from {3D} {U}nstructured {G}rids},
  year = {1997},
  pages = {285--292, 553},
}

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