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Automatic pencil drawing generation using saliency map

Published: 22 August 2013 Publication History

Abstract

An artist usually does not draw all the areas in a picture homogeneously, but tries to make the work more expressive by emphasizing what is important while eliminating irrelevant details. We present a technique for automatically converting an input image into a pencil drawing with such effect of emphasis and elimination [HATA, et al. 2012]. The technique combines Saliency Map [ITTI, et al. 1998] and Line Integral Convolution(LIC) based pencil drawing filter [MAO, et al. 2001]. Saliency map is used to predict the focus of attention in the input image. Multi-resolution pyramid is used to locally adapt the density and appearance of pencil strokes to the degree of attention defined with saliency map

References

[1]
Hata, M, Toyoura, M., and Mao, X., 2012, Accentuated Pencil Drawing Generation Using Saliency Map and LIC, Visual Computer, vol.28, no.6-8, 657--668.
[2]
Itti, L., Koch,. C, Niebur, E., 1998, A Model of Saliency-Based Visual Attention for Rapid Scene Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, no. 11, 1254--1259.
[3]
Mao, X., Nagasaka, Y. Imamiya, A., 2001, Automatic Generation of Pencil Drawing from 2D Images Using Line Integral Convolution. In Proceedings of CAD/GRAPHICS'01, 240--248.

Cited By

View all
  • (2019)Parallel Fast Pencil Drawing Generation Algorithm Based on GPUIEEE Access10.1109/ACCESS.2019.29246587(83543-83555)Online publication date: 2019
  • (2019)GAN-based pencil drawing learning system for art education on large-scale image datasets with learning analyticsInteractive Learning Environments10.1080/10494820.2019.163682731:5(2544-2561)Online publication date: 8-Jul-2019
  • (2019)SRNPD: Spatial rendering network for pencil drawing stylizationComputer Animation and Virtual Worlds10.1002/cav.189030:3-4Online publication date: 22-May-2019
  • Show More Cited By
  1. Automatic pencil drawing generation using saliency map

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    cover image ACM Conferences
    SAP '13: Proceedings of the ACM Symposium on Applied Perception
    August 2013
    150 pages
    ISBN:9781450322621
    DOI:10.1145/2492494
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 22 August 2013

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    • Research-article

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    SAP' 13
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    SAP' 13: ACM Symposium on Applied Perception 2013
    August 22 - 23, 2013
    Dublin, Ireland

    Acceptance Rates

    SAP '13 Paper Acceptance Rate 22 of 54 submissions, 41%;
    Overall Acceptance Rate 43 of 94 submissions, 46%

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    Cited By

    View all
    • (2019)Parallel Fast Pencil Drawing Generation Algorithm Based on GPUIEEE Access10.1109/ACCESS.2019.29246587(83543-83555)Online publication date: 2019
    • (2019)GAN-based pencil drawing learning system for art education on large-scale image datasets with learning analyticsInteractive Learning Environments10.1080/10494820.2019.163682731:5(2544-2561)Online publication date: 8-Jul-2019
    • (2019)SRNPD: Spatial rendering network for pencil drawing stylizationComputer Animation and Virtual Worlds10.1002/cav.189030:3-4Online publication date: 22-May-2019
    • (2018)Parallel Pencil Drawing Stylization via Structure-Aware OptimizationProceedings of the 31st International Conference on Computer Animation and Social Agents10.1145/3205326.3205352(32-37)Online publication date: 21-May-2018
    • (2016)Generation of Oil-Film-Like Images by Bilateral Infra-Envelope FilterIEICE Transactions on Information and Systems10.1587/transinf.2015EDL8246E99.D:6(1724-1728)Online publication date: 2016

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