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Identification of Illustrators

  • Fadime Sener
  • Nermin Samet
  • Pinar Duygulu Sahin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7583)

Abstract

This paper is motivated by a book in which artists and illustrators from all over the world offer their personal interpretations of the declaration of human rights in pictures [1]. It was enthusiastic for a young reader to see an illustration of an artist that he already knows from his books . The characters were different, the topic was irrelevant, but still it was easy to identify the illustrators based on the style of the illustration. Inspired by the human’s ability to identify illustrators, in this study we propose a method that can automatically learn to distinguish illustrations of different illustrators using computer vision techniques.

Keywords

Color Histogram Sift Feature Computer Vision Technique Artistic Style Dense Sift 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Fadime Sener
    • 1
  • Nermin Samet
    • 1
  • Pinar Duygulu Sahin
    • 1
  1. 1.Computer Engineering DepartmentBilkent UniversityAnkaraTurkey

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