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[LL+06]  Ardeco: Automatic Region DEtection and COnversion

Lecot:2006:ARD (In proceedings)
Author(s)Lecot G. and Levy B.
Title« Ardeco: Automatic Region DEtection and COnversion »
InRendering Techniques 2006, Proceedings of the 17[textsuperscript]th Eurographics Symposium on Rendering (EGSR 2006, June 26--28, 2006, Nicosa, Cyprus)
Page(s)349--360
Year2006
PublisherEUROGRAPHICS
AddressAire-la-Ville, Switzerland
URLhttp://alice.loria.fr/publications/papers/2006/EGSR_Ardeco/supplemental/sources.html

Abstract
We present Ardeco, a new algorithm for image abstraction and conversion from bitmap images into vector graphics. Given a bitmap image, our algorithm automatically computes the set of vector primitives and gradients that best approximates the image. In addition, more details can be generated in user-selected important regions, defined from eye-tracking data or from an importance map painted by the user. Our algorithm is based on a new two-level variational parametric segmentation algorithm, minimizing Mumford and Shah’s energy and operating on an intermediate triangulation, well adapted to the features of the image.

BibTeX code
@inproceedings{Lecot:2006:ARD,
  opteditor = {},
  optpostscript = {},
  www =
         {http://alice.loria.fr/php/article.php?pub=../publications/papers/2006/EGSR_Ardeco},
  optorganization = {},
  author = {Gregory Lecot and Bruno Levy},
  optkey = {},
  optannote = {},
  optseries = {},
  url = {http://alice.loria.fr/publications/papers/2006/EGSR_Ardeco/supplemental/sources.html},
  address = EGAdr,
  localfile = {papers/Lecot.2006.ARD.pdf},
  optisbn = {},
  publisher = EGPub,
  optkeywords = {},
  doi = {http://dx.doi.org/10.2312/EGWR/EGSR06/349-360},
  optmonth = {},
  optciteseer = {},
  optcrossref = {},
  booktitle = {Rendering Techniques 2006, Proceedings of the
               17\textsuperscript{th} Eurographics Symposium on Rendering (EGSR
               2006, June 26--28, 2006, Nicosa, Cyprus)},
  optvolume = {},
  optnumber = {},
  abstract = {We present Ardeco, a new algorithm for image abstraction and
              conversion from bitmap images into vector graphics. Given a bitmap
              image, our algorithm automatically computes the set of vector
              primitives and gradients that best approximates the image. In
              addition, more details can be generated in user-selected important
              regions, defined from eye-tracking data or from an importance map
              painted by the user. Our algorithm is based on a new two-level
              variational parametric segmentation algorithm, minimizing Mumford
              and Shah’s energy and operating on an intermediate triangulation,
              well adapted to the features of the image.},
  title = {{A}rdeco: {A}utomatic {R}egion {DE}tection and {CO}nversion},
  year = {2006},
  pages = {349--360},
}

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