Skip to main content
Log in

Three-dimensional oil painting reconstruction with stroke based rendering

  • Original Article
  • Published:
The Visual Computer Aims and scope Submit manuscript

Abstract

We present an algorithm to generate a three-dimensional (3-D) oil painting using artistic filters and sample 3-Dstructures. The artistic filter works as a two-dimensional (2-D) rendering technique a for non-photorealistic effect based on the algorithm introduced in [8]. We modified this method to properly work with a 3-Dimage, enhancing the efficiency of the filter as well. The required 3-Dstructure model is obtained from actual brushstroke samples provided by an artist. We employ a photometric stereo technique in constructing a 3-Dmodel for a brushstroke sample, since this method is capable of capturing sophisticated variation details in brushstroke textures. A 3-Doil painting is completed by incorporating the 3-Dmodel to the brushstrokes rendered by the artistic filter. The created image would show a natural illumination change as the position of the light source varies, providing a realistic effect to the image. We can further enhance the study by analyzing a real painting and by directly applying the current algorithm to synthesize a 3-Doil painting in the style of the original real painting.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Agrawal, A., Chellappa, R., Raskar, R.: An algebraic approach to surface reconstruction from gradient fields. In: Proceedings of IEEE International Conference on Computer Vision, pp. 174–181 (2005)

  2. Baxter, W., Wendt, J., Lin, M.C.: IMPasTo: A realistic, interactive model for paint. In: Proceedings of the 2nd Annual Symposium on Non-Photorealistic Animation and Rendering (2004)

  3. Dempster, A., Laird, N., Rubin, D.: Maximum likelihood estimation from incomplete data. J. Royal Stat. Soc. 39(1), (1977)

  4. Goldman, D.B., Curless, B., Hertzmann, A., Seitz, S.M.: Shape and spatially-varing BRDFs from photometric stereo. In: Proceedings of IEEE International Conference on Computer Vision, pp. 341–348 (2005)

  5. Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 2nd edn. Prentice Hall, Upper Saddle River, New Jersey (2002)

    Google Scholar 

  6. Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press, Cambridge (2003)

    Google Scholar 

  7. Hays, J., Essa, I.: Image and video based painterly animation. In: Proceedings of the 2nd Annual Symposium on Non-Photorealistic Animation and Rendering (2004)

  8. Hertzmann, A.: Painterly rendering with curved brush strokes of multiple sizes. In: Proceedings of SIGGRAPH, pp. 453–460 (1998)

  9. Hertzmann, A.: Fast Paint Texture. In: Proceedings of the Second Annual Symposium on Non-Photorealistic Animation and Rendering, June (2002)

  10. Hertzmann, A., Jacobs, C.E., Oliver, N., Curless, B., Salesin, D.H.: Image Analogies. In: Proceedings of SIGGRAPH, pp. 327–340 (2001)

  11. Kowalski, M.A., Markosian, L., Northrup, J.D., Bourdev, L., Barzel, R., Holden, L.S., Hughes, J.: Art-based rendering of fur, grass, and trees. In: Proceedings of SIGGRAPH, pp. 433–438 (1999)

  12. Lambert, J.H.: Photometria Sive de Mensura de Gratibus Luminis, Colorum et Umbrae. Eberhard Klett, Augsburg, Germany (1760)

    Google Scholar 

  13. Lee, K.M., Kuo, C.-C.J.: Shape from shading with a generalized reflectance map model. Comput. Vis. Image Underst. 67(2), 143–160 (1997)

    Article  Google Scholar 

  14. Litwinowicz, P.: Processing images and video for an Impressionist effect. In: Proceedings of SIGGRAPH, pp. 407–414 (1997)

  15. Nayar, S.K., Ikeuchi, K., Kanade, T.: Surface reflection: physical and geometric perspectives. IEEE Trans. Robot. Automat. 6(4), 418–431 (1990)

    Article  Google Scholar 

  16. Nayar, S.K., Oren, M.: Generalization of the Lambertian model and implications for machine vision. Int. J. Comput. Vis. 14, 227–251 (1995)

    Article  Google Scholar 

  17. Nishino, K., Zhang, Z., Ikeuchi, K.: Determining reflectance parameters and illumination distribution from a sparse set of images for view-dependent image synthesis. In: Proceedings of IEEE International Conference on Computer Vision, pp. 599–606 (2001)

  18. Park, B.G., Yun, I.D., Lee, K.M., Lee, S.U.: Generalized photometric stereo for the hybrid reflectance model using N image sequences. In: Proceedings of 13th Workshop on Image Processing and Image Understanding, pp. 555–560 (2001)

  19. Rosales, R., Achan, K., Frey, B.: Unsupervised image translation. In: Proceedings of IEEE International Conference on Computer Vision (2003)

  20. Salisbury, M.P., Wong, M.T., Hughes, J.F., Salesin, D.H.: Orientable textures for image-based pen-and-ink illustration. In: Proceedings of SIGGRAPH, pp. 401–406 (1999)

  21. Solomon, F., Ikeuchi, K.: Extracting the shape and roughness of specular lobe objects using four light photometric stereo. IEEE Trans. Pattern Anal. Mach. Intell. 18(4), 449–454 (1996)

    Article  Google Scholar 

  22. Tagare, H.D., de Figueiredo, R.J.: A theory of photometric stereo for a class of diffuse non-Lambertian surfaces. IEEE Trans. Pattern Anal. Mach. Intell. 13(2), 133–152 (1991)

    Article  Google Scholar 

  23. Wandell, B.: Foundations of Vision. Sinauer Associates, Sunderland, MA (1995)

    Google Scholar 

  24. Woodham, R.J.: Reflectance map technique for analyzing surface defects in metal castings. Massachusetts Institute of Technology AI Lab Technical Report 457, June (1978)

  25. Yedidia, J.S., Freeman, W.T., Weiss, Y.: Understanding belief propagation and its generalizations. In: Exploring Artificial Intelligence in the New Millennium, chap. 8, pp. 239–236 (2003)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kyong Joon Lee.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lee, K., Kim, D., Yun, I. et al. Three-dimensional oil painting reconstruction with stroke based rendering. Visual Comput 23, 873–880 (2007). https://doi.org/10.1007/s00371-007-0142-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00371-007-0142-7

Keywords

Navigation