Skip to main content
SpringerLink
Log in

Stroke Based Painterly Rendering

  • Chapter
  • First Online:
Image and Video-Based Artistic Stylisation

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

Abstract

Many traditional art forms are produced by an artist sequentially placing a set of marks, such as brush strokes, on a canvas. Stroke based Rendering (SBR) is inspired by this process, and underpins many early and contemporary Artistic Stylization algorithms. This chapter outlines the origins of SBR, and describes key algorithms for placement of brush strokes to create painterly renderings from source images. The chapter explores both local greedy, and global optimization based approaches to stroke placement. The issue of creative control in SBR is also briefly discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Available at http://kahlan.eps.surrey.ac.uk/EG2011.

References

  1. Amini, A., Weymouth, T., Jain, T.: Using dynamic programming for solving variational problems in computer vision. IEEE Trans. Pattern Anal. Mach. Intell. 9(12), 855–867 (1990)

    Article  Google Scholar 

  2. Collomosse, J.P.: Higher level techniques for the artistic rendering of images and video. Ph.D. thesis, University of Bath, UK (2004)

    Google Scholar 

  3. Collomosse, J.: Supervised genetic search for parameter selection in painterly rendering. In: Proceedings EvoMUSART (LNCS), vol. 3907, pp. 599–610. Springer, Berlin (2006)

    Google Scholar 

  4. Collomosse, J., Hall, P.M.: Painterly rendering using image salience. In: Proc. Eurographics UK, pp. 122–128 (2002)

    Chapter  Google Scholar 

  5. Collomosse, J., Hall, P.M.: Cubist style rendering from photographs. IEEE Trans. Vis. Comput. Graph. 4(9), 443–453 (2003)

    Article  Google Scholar 

  6. Collomosse, J.P., Hall, P.M.: Genetic Paint: A Search for Salient Paintings. In: Proceedings of EvoWorkshops. Lecture Notes in Computer Science, vol. 3449, pp. 437–447. Springer, Berlin (2005)

    Google Scholar 

  7. Farin, G.: Curves and Surfaces for CAGD: A Practical Guide, 5th edn. Morgan Kaufmann, San Francisco (2002)

    Google Scholar 

  8. Haeberli, P.E.: Paint by numbers: abstract image representations. In: Computer Graphics (Proceedings of SIGGRAPH 90), pp. 207–214 (1990)

    Google Scholar 

  9. Haggerty, P.: Almost automatic computer painting. IEEE Comput. Graph. Appl. 11(6), 11–12 (1991)

    Google Scholar 

  10. Hall, P.M., Owen, M.J., Collomosse, J.P.: A trainable low-level feature detector. In: Proceedings Intl. Conference on Pattern Recognition (ICPR), vol. 1, pp. 708–711. IEEE Press, New York (2004)

    Chapter  Google Scholar 

  11. Hays, J., Essa, I.: Image and video based painterly animation. In: Proc. NPAR, pp. 113–120 (2004)

    Chapter  Google Scholar 

  12. Hertzmann, A.: Painterly rendering with curved brush strokes of multiple sizes. In: Proceedings of SIGGRAPH 98, Computer Graphics Proceedings. Annual Conference Series, pp. 453–460 (1998)

    Google Scholar 

  13. Hertzmann, A., Perlin, K.: Painterly rendering for video and interaction. In: NPAR 2000: First International Symposium on Non Photorealistic Animation and Rendering, pp. 7–12 (2000)

    Chapter  Google Scholar 

  14. Holland, J.: Adaptation in Natural and Artificial Systems. An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence. University of Michigan Press, Ann Arbor (1975)

    Google Scholar 

  15. Huang, H., Fu, T.N., Li, C.F.: Painterly rendering with content-dependent natural paint strokes. Vis. Comput. 27(9), 861–871 (2011). doi:10.1007/s00371-011-0596-5

    Article  Google Scholar 

  16. Kagaya, M., Brendel, W., Deng, Q., Kesterson, T., Todorovic, S., Neill, P.J., Zhang, E.: Video painting with space-time-varying style parameters. IEEE Trans. Vis. Comput. Graph. 17(1), 74–87 (2011)

    Article  Google Scholar 

  17. Litwinowicz, P.: Processing images and video for an impressionist effect. In: Proceedings of SIGGRAPH 97, Computer Graphics Proceedings. Annual Conference Series, pp. 407–414 (1997)

    Chapter  Google Scholar 

  18. O’Donovan, P., Hertzmann, A.: AniPaint: interactive painterly animation from video. IEEE Trans. Vis. Comput. Graph. 18(3), 475–487 (2012)

    Article  Google Scholar 

  19. Santella, A., DeCarlo, D.: Visual interest and NPR: an evaluation and manifesto. In: Proc. NPAR, pp. 71–150 (2004)

    Chapter  Google Scholar 

  20. Shiraishi, M., Yamaguchi, Y.: An algorithm for automatic painterly rendering based on local source image approximation. In: NPAR 2000: First International Symposium on Non Photorealistic Animation and Rendering, pp. 53–58 (2000)

    Chapter  Google Scholar 

  21. Shugrina, M., Betke, M., Collomosse, J.P.: Empathic painting: interactive stylization through observed emotional state. In: NPAR 06, pp. 87–96. ACM, New York (2006). doi:10.1145/1124728.1124744

    Chapter  Google Scholar 

  22. Szirányi, T., Tóth, Z., Figueiredo, M., Zerubia, J., Jain, A.: Optimization of paintbrush rendering of images by dynamic MCMC methods. In: Proc. EMMCVPR, pp. 201–215 (2001)

    Google Scholar 

  23. Treavett, S.M.F., Chen, M.: Statistical techniques for the automated synthesis of non-photorealistic images. In: Proc. EGUK, pp. 201–210 (1997)

    Google Scholar 

  24. Willats, J., Durand, F.: Defining pictorial style: lessons from linguistics and computer graphics. Axiomathes 15(3), 319–351 (2005)

    Article  Google Scholar 

  25. Zeng, K., Zhao, M., Xiong, C., Zhu, S.C.: From image parsing to painterly rendering. ACM Trans. Graph. 29(1), 2:1–2:11 (2009)

    Article  Google Scholar 

  26. Zhang, E., Hays, J., Turk, G.: Interactive tensor field design and visualization on surfaces. IEEE Trans. Vis. Comput. Graph. 13(1), 94–107 (2007)

    Article  Google Scholar 

  27. Zhao, M., Zhu, S.C.: Sisley the abstract painter. In: NPAR’10: Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering, pp. 99–107. ACM, New York (2010). doi:10.1145/1809939.1809951

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. IRIT, Université de Toulouse, 118 Route de Narbonne, 31062, Toulouse CEDEX 9, France

    David Vanderhaeghe

  2. Centre for Vision Speech and Signal Processing, University of Surrey, Guildford, Surrey, GU2 7XH, UK

    John Collomosse

Authors
  1. David Vanderhaeghe
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. John Collomosse
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to David Vanderhaeghe .

Editor information

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

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag London

About this chapter

Cite this chapter

Vanderhaeghe, D., Collomosse, J. (2013). Stroke Based Painterly 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_1

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-4519-6_1

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4518-9

  • Online ISBN: 978-1-4471-4519-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation