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Analysis of Average Hand-Drawing and Its Application

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Intelligent Technologies for Interactive Entertainment (INTETAIN 2017)

Abstract

In this paper, we applied averaging method to hand-drawn illustrations, and clarified characteristics of the averaged hand-drawings. We then implemented a prototype system that can realize better hand-drawings for user based on the characteristics.

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References

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Acknowledgments

This work was supported in part by JST CREST, JST ACCEL Grant Number JPMJAC1602, Japan, and Meiji University Priority Research A.

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Authors and Affiliations

  1. Graduate School of Advanced Mathematical Sciences, Meiji University, Tokyo, Japan

    Shinjiro Niino, Nanae Hagiwara, Satoshi Nakamura, Masaaki Suzuki & Takanori Komatsu

Authors
  1. Shinjiro Niino
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  2. Nanae Hagiwara
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  3. Satoshi Nakamura
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  4. Masaaki Suzuki
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  5. Takanori Komatsu
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Corresponding author

Correspondence to Shinjiro Niino .

Editor information

Editors and Affiliations

  1. Madeira Interactive Technologies Institute, Funchal, Portugal

    Yoram Chisik

  2. School of Computer Science, University of Lincoln, Lincoln, United Kingdom

    Jussi Holopainen

  3. Concordia University, Montreal, Québec, Canada

    Rilla Khaled

  4. University Institute of Lisbon, Lisbon, Portugal

    José Luis Silva

  5. National University of Ireland, Maynooth, Ireland

    Paula Alexandra Silva

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Niino, S., Hagiwara, N., Nakamura, S., Suzuki, M., Komatsu, T. (2018). Analysis of Average Hand-Drawing and Its Application. In: Chisik, Y., Holopainen, J., Khaled, R., Luis Silva, J., Alexandra Silva, P. (eds) Intelligent Technologies for Interactive Entertainment. INTETAIN 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 215. Springer, Cham. https://doi.org/10.1007/978-3-319-73062-2_3

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  • DOI: https://doi.org/10.1007/978-3-319-73062-2_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73061-5

  • Online ISBN: 978-3-319-73062-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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