Automatic Construction of Image Transformations to Produce Variously Stylized Painterly Images
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- @InProceedings{Nakayama:2013:EMS,
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author = "Keita Nakayama and Tomoharu Nagao",
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title = "Automatic Construction of Image Transformations to
Produce Variously Stylized Painterly Images",
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booktitle = "European Modelling Symposium (EMS 2013)",
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year = "2013",
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month = "20-22 " # nov,
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pages = "243--248",
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address = "Manchester",
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keywords = "genetic algorithms, genetic programming, ACTIT,
non-photorealistic rendering, painterly rendering",
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DOI = "doi:10.1109/EMS.2013.42",
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abstract = "We describe a new method that generates images that
represent various painting styles by constructing the
process of painterly rendering, using ACTIT (Automatic
Construction of Tree-structural Image Transformation).
ACTIT is an image processing system that automatically
constructs image transformations by using Genetic
Programming (GP) and image processing examples. The
constructed image transformations can then be applied
to other images. In our method, we add two extensions
to ACTIT so that it can be applied for constructing the
painterly rendering process. The first extension
comprises image processing filters that append
non-photo realistic effects. The second is our proposed
new fitness function of ACTIT for evaluating the
features of the images used for painterly rendering.
The results of experiments in which we used three
painting style examples show that our method constructs
three image transformations that produce the respective
painting styles.",
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notes = "Also known as \cite{6779853}",
- }
Genetic Programming entries for
Keita Nakayama
Tomoharu Nagao
Citations