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Research Article | Open Access

Estimating reflectance and shape of objects from a single cartoon-shaded image

Tokyo University of Technology, Tokyo, 192-0982, Japan
The University of Tokyo, Tokyo, 153-8902, Japan.
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Abstract

Although many photorealistic relighting methods provide a way to change the illumination of objects in a digital photograph, it is currently difficult to relight digital illustrations having a cartoon shading style. The main difference between photorealistic and cartoon shading styles is that cartoon shading is characterized by soft color quantization and nonlinear color variations that cause noticeable reconstruction errors under a physical reflectance assumption, such as Lambertian reflection. To handle this non-photorealistic shading property, we focus on shading analysis of the most fundamental cartoon shading technique. Based on the color map shading representation, we propose a simple method to determine the input shading as that of a smooth shape with a nonlinear reflectance property. We have conducted simple ground-truth evaluations to compare our results to those obtained by other approaches.

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Computational Visual Media
Pages 21-31

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Cite this article:
Todo H, Yamaguchi Y. Estimating reflectance and shape of objects from a single cartoon-shaded image. Computational Visual Media, 2017, 3(1): 21-31. https://doi.org/10.1007/s41095-016-0066-0

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Revised: 30 August 2016
Accepted: 10 November 2016
Published: 17 March 2017
© The Author(s) 2016

This article is published with open access at Springerlink.com

The articles published in this journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Other papers from this open access journal are available free of charge from http://www.springer.com/journal/41095. To submit a manuscript, please go to https://www. editorialmanager.com/cvmj.