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Emulating Pencil Sketches from 2D Images

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Recent Advances on Soft Computing and Data Mining

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 287))

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Abstract

In this paper we present a pixel-based approach to the production of pencil sketch style images. Input pixels are mapped, using their intensity via a texture-map, to the output sketches. Conceptually, pixels are grouped into regions and the texture obtained from the Texture-map is applied to the output image for a given region. The hatchings and cross-hatchings textures give the resultant images the likeness of pencil sketches. By altering the texture-map applied during the transformation, good results can be obtained, often closely mimicking human sketches. We present details of our approach and give example of sketches. In future work, we wish to enrich the texture-maps so that the texture could better reflect or hint the surface properties of objects in the scene (e.g., hardness, softness, etc.).

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Correspondence to Azhan Ahmad .

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Ahmad, A., Phon-Amnuaisuk, S., Shannon, P.D. (2014). Emulating Pencil Sketches from 2D Images. In: Herawan, T., Ghazali, R., Deris, M. (eds) Recent Advances on Soft Computing and Data Mining. Advances in Intelligent Systems and Computing, vol 287. Springer, Cham. https://doi.org/10.1007/978-3-319-07692-8_54

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  • DOI: https://doi.org/10.1007/978-3-319-07692-8_54

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07691-1

  • Online ISBN: 978-3-319-07692-8

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