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[TC+97]  Statistical Techniques for the Automatic Generation of Non-Photorealistic Images

Treavett:1997:TAG (In proceedings)
Author(s)Treavett S. and Chen M.
Title« Statistical Techniques for the Automatic Generation of Non-Photorealistic Images »
InProceedings of the 15[textsuperscript]th Eurographics UK Conference
Year1997

Abstract
In the field of computer graphics there is an increasing demand for non-photorealistic effects. Techniques have been developed to this end but most involve substantial runtime interaction form the user. This paper presents a new approach that uses statistical techniques to automaticly and reproducibly generate non-photorealistic images. This automatic system could have far ranging uses, including frame by frame conversion of video to produce special effects. Information from the source image is obtained using statistical analysis techniques. Statistical simulations are used to control the placement of effects in the final image. The paper includes a number of example images produced by the system.

BibTeX code
@inproceedings{Treavett:1997:TAG,
  opteditor = {},
  optcitations =
                  {Lansdown:1995:ERR,Strassmann:1986:HB,Pham:1991:EBS,Haeberli:1990:PBN},
  optnote = {},
  optaddress = {},
  optorganization = {},
  author = {Steve M. F. Treavett and Min Chen},
  optkey = {},
  optseries = {},
  localfile = {papers/Treavett.1997.TAG.pdf},
  optpublisher = {},
  optmonth = {},
  opturl = {},
  optdoi = {},
  optcrossref = {},
  optpages = {},
  booktitle = {Proceedings of the 15\textsuperscript{th} Eurographics UK
               Conference},
  optstatus = {pdf, url},
  optvolume = {},
  optnumber = {},
  optlocalfile = {},
  title = {{S}tatistical {T}echniques for the {A}utomatic {G}eneration of
           {N}on-{P}hotorealistic {I}mages},
  abstract = {In the field of computer graphics there is an increasing demand
              for non-photorealistic effects. Techniques have been developed to
              this end but most involve substantial runtime interaction form the
              user. This paper presents a new approach that uses statistical
              techniques to automaticly and reproducibly generate
              non-photorealistic images. This automatic system could have far
              ranging uses, including frame by frame conversion of video to
              produce special effects. Information from the source image is
              obtained using statistical analysis techniques. Statistical
              simulations are used to control the placement of effects in the
              final image. The paper includes a number of example images
              produced by the system.},
  year = {1997},
}

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