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[SD+02]  Abstracted Painterly Renderings Using Eye-Tracking Data

Santella:2002:APR (In proceedings)
Author(s)Santella A. and DeCarlo D.
Title« Abstracted Painterly Renderings Using Eye-Tracking Data »
InProceedings of the Second International Symposium on Non-Photorealistic Animation and Rendering (NPAR 2002, Annecy, France, June 3--5, 2002)
Editor(s)Adam Finkelstein
Page(s)75--82
Year2002
PublisherACM Press
AddressNew York
Editor(s)Adam Finkelstein

Abstract
When used by artists, manual interfaces for painterly rendering can yield very satisfying abstract transformations of images. Automatic techniques produce interesting paintings as well, but can only recast pictures in a different style without performing any abstraction. At best, information is removed uniformly across the image, without emphasizing the important content. We describe a new approach for the creation of painterly renderings that draws on a model of human perception and is driven by eye-tracking data. This approach can perform meaningful abstraction using this data, with the minimum interaction possible: the user need only look at the image for several seconds. We demonstrate the effectiveness of this interactive technique and compare it with a fully automatic approach.

BibTeX code
@inproceedings{Santella:2002:APR,
  optnote = {},
  optorganization = {},
  author = {Anthony Santella and Doug DeCarlo},
  optkey = {},
  optannote = {},
  optseries = {},
  editor = {Adam Finkelstein},
  address = {New York},
  localfile = {papers/Santella.2002.APR.pdf},
  publisher = {ACM Press},
  doi = {http://doi.acm.org/10.1145/508530.508544},
  optmonth = {},
  citeseer = {http://citeseer.nj.nec.com/529102.html},
  optcrossref = {},
  booktitle = NPAR2002,
  optstatus = {OK},
  optvolume = {},
  optnumber = {},
  title = {{A}bstracted {P}ainterly {R}enderings {U}sing {E}ye-{T}racking
           {D}ata},
  abstract = {When used by artists, manual interfaces for painterly rendering
              can yield very satisfying abstract transformations of images.
              Automatic techniques produce interesting paintings as well, but
              can only recast pictures in a different style without performing
              any abstraction. At best, information is removed uniformly across
              the image, without emphasizing the important content. We describe
              a new approach for the creation of painterly renderings that draws
              on a model of human perception and is driven by eye-tracking data.
              This approach can perform meaningful abstraction using this data,
              with the minimum interaction possible: the user need only look at
              the image for several seconds. We demonstrate the effectiveness of
              this interactive technique and compare it with a fully automatic
              approach. },
  year = {2002},
  pages = {75--82},
}

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