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Evaluating and Validating Non-photorealistic and Illustrative Rendering

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Image and Video-Based Artistic Stylisation

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

Abstract

In many areas of non-photorealistic and illustrative rendering, considerable progress has been made toward synthesizing traditional artistic and illustrative techniques. However, evaluation and validation of such images have only been attempted relatively recently. This chapter surveys evaluation approaches that have been applied successfully in non-photorealistic and illustrative rendering. It provides an overview over different evaluation approaches including qualitative and quantitative techniques and gives examples for how to approach evaluation in the NPR context. Collectively, the described techniques do not only answer the question of whether an NPR technique is able to replicate a traditional technique successfully but also what implications the use of NPR techniques has and what opinion people have about different NPR techniques as compared to traditional depictions.

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Authors and Affiliations

  1. INRIA Saclay, Orsay, France

    Tobias Isenberg

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  1. Tobias Isenberg
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Correspondence to Tobias Isenberg .

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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

Appendix: Data Resources

Appendix: Data Resources

Some of the datasets used/created in the mentioned studies are available online for further analysis and future studies. For example, the following datasets are available online at the moment of writing (of course, the URLs are always subject to change):

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Isenberg, T. (2013). Evaluating and Validating Non-photorealistic and Illustrative Rendering. 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_15

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  • DOI: https://doi.org/10.1007/978-1-4471-4519-6_15

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