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[DS+02]  Stylization and Abstraction of Photographs

DeCarlo:2002:SAP (Article)
Author(s)DeCarlo D. and Santella A.
Title« Stylization and Abstraction of Photographs »
JournalACM Transactions on Graphics, Proceedings of ACM SIGGRAPH 2002 (San Antonio, TX, July 21--26, 2002)
Volume21
Number3
Page(s)769--776
Year2002
AddressNew York
URLhttp://doi.acm.org/10.1145/566570.566650

Abstract
Good information design depends on clarifying the meaningful structure in an image. We describe a computational approach to stylizing and abstracting photographs that explicitly responds to this design goal. Our system transforms images into a line-drawing style using bold edges and large regions of constant color. To do this, it represents images as a hierarchical structure of parts and boundaries computed using state-of-the-art computer vision. Our system identifies the meaningful elements of this structure using a model of human perception and a record of a user's eye movements in looking at the photo; the system renders a new image using transformations that preserve and highlight these visual elements. Our method thus represents a new alternative for non-photorealistic rendering both in its visual style, in its approach to visual form, and in its techniques for interaction.

BibTeX code
@article{DeCarlo:2002:SAP,
  opteditor = {},
  number = {3},
  month = jul,
  optnote = {},
  author = {Doug DeCarlo and Anthony Santella},
  optkey = {},
  series = CGPACS,
  optannote = {},
  url = {http://doi.acm.org/10.1145/566570.566650},
  address = {New York},
  localfile = {papers/DeCarlo.2002.SAP.pdf},
  optpublisher = {},
  doi = {http://doi.acm.org/10.1145/566654.566650},
  organization = {ACM SIGGRAPH},
  journal = SIGGRAPH2002,
  citeseer = {http://citeseer.nj.nec.com/525440.html},
  volume = {21},
  optcrossref = {},
  optstatus = {OK},
  title = {{S}tylization and {A}bstraction of {P}hotographs},
  abstract = {Good information design depends on clarifying the meaningful
              structure in an image. We describe a computational approach to
              stylizing and abstracting photographs that explicitly responds to
              this design goal. Our system transforms images into a line-drawing
              style using bold edges and large regions of constant color. To do
              this, it represents images as a hierarchical structure of parts
              and boundaries computed using state-of-the-art computer vision.
              Our system identifies the meaningful elements of this structure
              using a model of human perception and a record of a user's eye
              movements in looking at the photo; the system renders a new image
              using transformations that preserve and highlight these visual
              elements. Our method thus represents a new alternative for
              non-photorealistic rendering both in its visual style, in its
              approach to visual form, and in its techniques for interaction. },
  year = {2002},
  pages = {769--776},
}

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