Artistic Vision: painterly rendering using computer vision techniques
Bruce Gooch, Greg Coombe, Peter Shirley
Proceedings of the 2nd international symposium on Non-photorealistic animation and rendering, 2002, pp. 83--90.
Abstract: We present a method that takes a raster image as input and produces a painting-like image composed of strokes rather than pixels. Our method works by first segmenting the image into features, finding the approximate medial axes of these features, and using the medial axes to guide brush stroke creation. System parameters may be interactively manipulated by a user to effect image segmentation, brush stroke characteristics, stroke size, and stroke frequency. This process creates images reminiscent of those contemporary representational painters whose work has an abstract or sketchy quality. Our software is available at http://www.cs.utah.edu/npr/ArtisticVision.
Article URL: http://doi.acm.org/10.1145/508530.508545
BibTeX format:
@inproceedings{10.1145-508530.508545,
  author = {Bruce Gooch and Greg Coombe and Peter Shirley},
  title = {Artistic Vision: painterly rendering using computer vision techniques},
  booktitle = {Proceedings of the 2nd international symposium on Non-photorealistic animation and rendering},
  pages = {83--90},
  year = {2002},
}
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