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International Symposium on Visual Computing

ISVC 2013: Advances in Visual Computing pp 623–632Cite as

Evolutionary Techniques for Procedural Texture Automation

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8034))

Abstract

We have developed a genetic algorithm approach for automatically generating procedural textures. Our system, known as GenShade, evaluates evolutionarily generated procedural textures by comparing their rendered images with single or multiple target images of real textures. It uses a multiresolution image querying metric to automatically prioritize parents for breeding. GenShade simulates several key factors in natural selection. It employs a multiple generation breeding population, a notion of gender, and the concept of aging to maintain diversity while providing many breeding opportunities to highly successful offspring. The approach is also especially efficient running in a multiple processor, multiple selection-strategy mode using multiple settings. This paper discusses and evaluates these Genetic Algorithm techniques.

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Author information

Authors and Affiliations

  1. University of Sharjah, Sharjah, UAE

    Alaa Eldin M. Ibrahim

Authors
  1. Alaa Eldin M. Ibrahim
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Editor information

Editors and Affiliations

  1. University of Nevada, Reno, NV, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. Arizona State University, Tempe, AZ, USA

    Baoxin Li

  6. Mitsubishi Electric Research Laboratories, Cambridge, MA, USA

    Fatih Porikli

  7. University of California, Riverside, CA, USA

    Victor Zordan

  8. AT&T Research Labs, Florham Park, NJ, USA

    James Klosowski

  9. ZIRST, Saint-Ismier Cedex, France

    Sabine Coquillart

  10. Qualcomm Research, San Diego, CA, USA

    Xun Luo

  11. Oxford e-Research Centre, University of Oxford,, Oxford, UK

    Min Chen

  12. IBM, Hawthorne, NY, USA

    David Gotz

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© 2013 Springer-Verlag Berlin Heidelberg

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Ibrahim, A.E.M. (2013). Evolutionary Techniques for Procedural Texture Automation. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2013. Lecture Notes in Computer Science, vol 8034. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41939-3_61

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  • DOI: https://doi.org/10.1007/978-3-642-41939-3_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41938-6

  • Online ISBN: 978-3-642-41939-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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