@inproceedings{Barla:2005:GCL,
  opteditor = {},
  optpostscript = {},
  optorganization = {},
  author = {Barla, Pascal and Thollot, Jo{\"e}lle and Sillion, Fran\c{c}ois},
  optkey = {},
  optannote = {},
  optseries = {},
  url = {http://artis.imag.fr/Publications/2005/BTS05a},
  address = EGAdr,
  localfile = {papers/Barla.2005.GCL.pdf},
  optisbn = {},
  publisher = EGPub,
  optkeywords = {},
  optmonth = {},
  optciteseer = {},
  doi = {http://dx.doi.org/10.2312/EGWR/EGSR05/183-192},
  optcrossref = {},
  optwww =
            {http://www.eg.org/EG/DL/WS/EGWR/EGSR05/183-192.pdf.abstract.pdf;internal&action=paperabstract.action},
  booktitle = {Proceedings of Eurographics Symposium on Rendering 2005 (EGSR'05,
               June 29--July 1, 2005, Konstanz, Germany)},
  optvolume = {},
  optnumber = {},
  abstract = {We present a new approach to the simplification of line drawings,
              in which a smaller set of lines is created to represent the
              geometry of the original lines. An important feature of our method
              is that it maintains the morphological structure of the original
              drawing while allowing user-defined decisions about the appearance
              of lines. The technique works by analyzing the structure of the
              drawing at a certain scale and identifying clusters of lines that
              can be merged given an extendable error threshold. These clusters
              are then processed to create new lines, in a separate stage where
              different scenarios can be favored based on the application.
              Successful results are presented for a variety of drawings
              including scanned and vectorized artwork, original vector
              drawings, drawings created from 3d models, and hatching marks. The
              clustering technique is shown to be effective in all these
              situations.},
  title = {{G}eometric {C}lustering for {L}ine {D}rawing {S}implification},
  year = {2005},
  pages = {183--192},
}