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NPR for Traditional Artistic Genres

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Image and Video-Based Artistic Stylisation

Part of the book series: Computational Imaging and Vision ((CIVI,volume 42))

Abstract

One of the original goals of NPR research is to develop rendering techniques that produce images and videos with the appearances of traditional artistic genres such as painting and hatching. In this chapter we review existing research on this topic, with a particular focus on image and video stylization. We will also discuss forms of traditional artistic genres that have been underexplored in the context of NPR, with the hope that this could stimulate future research from the NPR community.

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Authors and Affiliations

  1. School of Electrical Engineering and Computer Science, Oregon State University, 2111 Kelley Engineering Center, Corvallis, OR, 97331, USA

    Eugene Zhang

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  1. Eugene Zhang
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Correspondence to Eugene Zhang .

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Editors and Affiliations

  1. School of Computer Science & Informatics, Cardiff University, The Parade, Roath 5, Cardiff, CF24 3AA, United Kingdom

    Paul Rosin

  2. Centre for Vision Speech & Signal Proc., University of Surrey, Guildford, GU2 7XH, Surrey, United Kingdom

    John Collomosse

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© 2013 Springer-Verlag London

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Zhang, E. (2013). NPR for Traditional Artistic Genres. In: Rosin, P., Collomosse, J. (eds) Image and Video-Based Artistic Stylisation. Computational Imaging and Vision, vol 42. Springer, London. https://doi.org/10.1007/978-1-4471-4519-6_6

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  • DOI: https://doi.org/10.1007/978-1-4471-4519-6_6

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4518-9

  • Online ISBN: 978-1-4471-4519-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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