Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Data structure forsoft objects

  • Published:
The Visual Computer Aims and scope Submit manuscript

Abstract

We introduce the concept ofsoft objects whose shape changes in response to their surroundings. Established geometric modelling techniques exist to handle most engineering components, including ‘free form’ shapes such as car bodies and telephones. More recently, there has been a lot of interest in modelling natural pheomena such as smoke, clouds, mountains and coastlines where the shapes are described stochastically, or as fractals. None of these techniques lends itself to the description ofsoft objects. This class of objects includes fabrics, cushions, living forms, mud and water. In this paper, we describe a method of modelling such objects and discuss its uses in animation. Our method is to represent asoft object, or collection of objects, as a surface of constant value in a scalar field over three dimensions. The main technical problem is to avoid calculating the field value at too many points. We do this with a combination of data structures at some cost in internal memory usage.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  • Blinn J (1982) A Generalization of Algebraic Surface Drawing. ACM Transactions on Graphics 1:235–256

    Google Scholar 

  • Fournier A, Fussel D, Carpenter L (1982) Computer Rendering of Stochastic Models. CACM 25:371–384

    Google Scholar 

  • Gardner G (1985) Visual Simulation of Clouds. SIGGRAPH 85 Computer Graphics 19 (3):297–303

    Google Scholar 

  • Nishimura H, Hirai M, Kawai T, Kawata T, Shirakawa I, Omura K (1985) Object Modeling by Distribution Function and a Method of Image Generation. Journal of papers given at the Electronics Communication Conference '85, vol. J 68-D No 4 (in Japanese)

  • Mandelbrot B (1982) The Fractal Geometry of Nature. W.H. Freeman, San Francisco

    Google Scholar 

  • Perlin K (1985) An Image Synthesizer. SIGGRAPH 85 Computer Graphics 19 (3):287–296

    Google Scholar 

  • Reeves W (1983) Particle Systems — A Technique for Modeling a Class of Fuzzy Objects. ACM Transactions on Graphics 2:91–108

    Google Scholar 

  • Wyvill BLM, McPheeters C, Garbutt R (1985a) A Practical 3D Computer Animation System. The BKSTS Journal 67:328–332

    Google Scholar 

  • Wyvill BLM, McPheeters C, Novacek M (1985b) Specifying Stochastic Objects in a Hierarchical Graphics System. Proceedings of Graphics Interface 85, Montreal, pp 17–20

    Google Scholar 

  • Wyvill BLM, McPheeters C, Wyvill G (1986a) Animating Soft Objects. The Visual Computer 2:235–242

    Google Scholar 

  • Wyvill G, McPheeters C, Wyvill BLM (1986b) Soft Objects. Advanced Computer Graphics. Proceedings of Computer Graphics Tokyo 86, pp 113–128

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wyvill, G., McPheeters, C. & Wyvill, B. Data structure forsoft objects. The Visual Computer 2, 227–234 (1986). https://doi.org/10.1007/BF01900346

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01900346

Key words