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[LFX+05]  More Optimal Strokes for NPR Sketching

Lewis:2005:MOS (In proceedings)
Author(s)Lewis J.P., Fong N., XueXiang X., Seah H.S. and Tian F.
Title« More Optimal Strokes for NPR Sketching »
InProceedings of the 3[textsuperscript]rd International Conference on Computer Graphics and Interactive Techniques in Australasia and South East Asia (GRAPHITE'05, Dunedin, New Zealand)
Page(s)47--50
Year2005
PublisherACM Press
AddressNew York

Abstract
Sketching is a drawing style where approximations and successive refinement in the drawing process are evident. The approximation of contours in sketching involves multiple overlapping strokes that are relatively long in regions of low curvature and shorter in high-curvature areas, yet unimportant high-curvature details are omitted in the initial stages of a sketch. Rendering contours with a single long stroke does not capture the feel of a sketch, and a simple strategy of breaking strokes at curvature maxima is easily confused by unimportant details and noise. We address the contour breaking problem for sketching by clustering samples of the contour based on proximity and orientation, making use of a global clustering algorithm (normalized cuts). The strokes generated by this approach qualitatively resemble those produced by real artists, and the successive approximation effect seen in sketching can be simulated by employing our approach at a succession of scales (increasing the number of clusters).

BibTeX code
@inproceedings{Lewis:2005:MOS,
  opteditor = {},
  optpostscript = {},
  optorganization = {},
  author = {John Peter Lewis and Nickson Fong and Xie XueXiang and Hock Soon
            Seah and Feng Tian},
  optkey = {},
  optannote = {},
  optseries = {},
  address = {New York},
  localfile = {papers/Lewis.2005.MOS.pdf},
  optisbn = {},
  publisher = {ACM Press},
  optkeywords = {},
  doi = {http://doi.acm.org/10.1145/1101389.1101398},
  optmonth = {},
  optciteseer = {},
  opturl = {},
  optcrossref = {},
  optwww = {},
  booktitle = {Proceedings of the 3\textsuperscript{rd} International Conference
               on Computer Graphics and Interactive Techniques in Australasia
               and South East Asia (GRAPHITE'05, Dunedin, New Zealand)},
  optvolume = {},
  optnumber = {},
  abstract = {Sketching is a drawing style where approximations and successive
              refinement in the drawing process are evident. The approximation
              of contours in sketching involves multiple overlapping strokes
              that are relatively long in regions of low curvature and shorter
              in high-curvature areas, yet unimportant high-curvature details
              are omitted in the initial stages of a sketch. Rendering contours
              with a single long stroke does not capture the feel of a sketch,
              and a simple strategy of breaking strokes at curvature maxima is
              easily confused by unimportant details and noise. We address the
              contour breaking problem for sketching by clustering samples of
              the contour based on proximity and orientation, making use of a
              global clustering algorithm (normalized cuts). The strokes
              generated by this approach qualitatively resemble those produced
              by real artists, and the successive approximation effect seen in
              sketching can be simulated by employing our approach at a
              succession of scales (increasing the number of clusters).},
  title = {{M}ore {O}ptimal {S}trokes for {NPR} {S}ketching},
  year = {2005},
  pages = {47--50},
}

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