Artistic Composition for Image Creation

  • Bruce Gooch
  • Erik Reinhard
  • Chris Moulding
  • Peter Shirley
Part of the Eurographics book series (EUROGRAPH)


Altering the viewing parameters of a 3D object results in computer graphics images of varying quality. One aspect of image quality is the composition of the image. While the esthetic properties of an image are subjective, some heuristics used by artists to create images can be approximated quantitatively. We present an algorithm based on heuristic compositional rules for finding the format, viewpoint, and layout for an image of a 3D object. Our system computes viewing parameters automatically or allows a user to explicitly manipulate them.


Layout Optimization Golden Ratio Esthetic Property Dark Pixel Orthographic Projection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Apodaca, A. A., and Gritz, L. Advanced Renderman Creating CGI for Motion Pictures. Morgan Kaufmann, 2000.Google Scholar
  2. 2.
    Arnheim, R. Art and Visual Perception: A Psychology of the Creative Eye. University of California Press, 1974.Google Scholar
  3. 3.
    Arnheim, R. The Power of the Center. University of California Press, 1988.Google Scholar
  4. 4.
    Barbour, C. G., and Meyer, G. W. Visual cues and pictorial limitations in photorealistic images. The Visual Computer 9, 4 (1992), 151–165.CrossRefGoogle Scholar
  5. 5.
    Bethers, R. Composition in Pictures. Pitman Publishing Corporation, 1964.Google Scholar
  6. 6.
    Blanz, V., Tarr, M. J., and Bulthoff, H. H. What object attributes determine canonical views. Perception 28, 5 (1999), 575–600.CrossRefGoogle Scholar
  7. 7.
    Clifton, J. The Eye of the Artist. North Light Publishers., 1973.Google Scholar
  8. 8.
    Edelman, S., and Bulthoff, H. Orientation dependence in the recognition of familiar and novel views of three-dimensional objects. Vision Research 32, 12 (1992), 2385–2400.CrossRefGoogle Scholar
  9. 9.
    Feiner, S. Apex: an experiment in the automated creation of pictorial explanations. IEEE Computer Graphics & Applications 5, 11 (November 1985),29–37.CrossRefGoogle Scholar
  10. 10.
    Karp, P., and Feiner, S. Issues in the automated generation of animated presentations. In Graphics Interface (1990), pp. 39–48.Google Scholar
  11. 11.
    Kawai, J. K., Painter, J. S., and Cohen, M. F. Radioptimization — goal based rendering. In Proceedings of SIGGRAPH (1993), pp. 147–154.Google Scholar
  12. 12.
    Kowalski, M. A., Hughes, J. F., Rubin, C. B., and Ohya, J. User-guided composition effects for art-based rendering. 2001 ACM Symposium on Interactive 3D Graphics (March 2001), 99–102. ISBN 1-58113-292-1.Google Scholar
  13. 13.
    Palmer, S., Rosch, E., and Chase, P. Canonical perspective and the perception of objects. Attention and Performance 9 (1981), 135–151.Google Scholar
  14. 14.
    Press, W., Teukolsky, S., Vetterling, W., and Flannery, B. P. Numerical Recipes in C, 2nd ed. Cambridge Univ. Press, 1993.Google Scholar
  15. 15.
    Ramachandran, V., and Hirstein, W. The science of art a neurological theory of esthetic experience. Journal of Consciousness Studies 6, 6–7 (1999), 15–51.Google Scholar
  16. 16.
    Sander, F. Gestaltpsychologie und kunsttheorie. ein beitrag zur psychologie der architektur. Neue Psychologische Studien 8 (1931),311–333.Google Scholar
  17. 17.
    Seligmann, D. D., and Feiner, S. Automated generation of intent-based 3d illustrations. In Proceedings of SIGGRAPH (1991), pp. 123–132.Google Scholar
  18. 18.
    Solso, R. L. Cognition and the Visual Arts. MIT Press/Bradford Books Series in Cognitive Psychology, 1999.Google Scholar
  19. 19.
    Verfaillie, K., and Boutsen, L. A corpus of 714 full-color images of depth-rotated objects. Perception and Psychophysics 57, 7 (1995), 925–961.CrossRefGoogle Scholar
  20. 20.
    Wei He, L., Cohen, M. F., and Salesin, D. H. The virtual cinematographer: A paradigm for automatic real-time camera control and directing. In Proceedings of SIGGRAPH (1996), pp. 217–224.Google Scholar
  21. 21.
    Zakia, R. D. Perception and Imaging. Focal Press Publications, 1997.Google Scholar

Copyright information

© Springer-Verlag Wien 2001

Authors and Affiliations

  • Bruce Gooch
    • 1
  • Erik Reinhard
    • 1
  • Chris Moulding
    • 1
  • Peter Shirley
    • 1
  1. 1.University of UtahUSA

Personalised recommendations