Skip to main content

What Can We Measure?

  • Chapter

Part of the book series: Oberwolfach Seminars ((OWS,volume 38))

Abstract

In this chapter we approach the question of “ what is measurable” from an abstract point of view using ideas from geometric measure theory. As it turns out such a first-principles approach gives us quantities such as mean and Gaussian curvature integrals in the discrete setting and more generally, fully characterizes a certain class of possible measures. Consequently one can characterize all possible “ sensible” measurements in the discrete setting which may form, for example, the basis for physical simulation.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   44.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   59.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. David Cohen-Steiner and Jean-Marie Morvan, Restricted Delaunay Triangulations and Normal Cycle, Proc. 19th Annual Sympos. Computational Geometry, 2003, pp. 312–321.

    Google Scholar 

  2. Eitan Grinspun, Yotam Gingold, Jason Reisman, and Denis Zorin, Computing Discrete Shape Operators on General Meshes, Computer Graphics Forum (Proc. Eurographics) 25 (2006), no. 3, 547–556.

    Article  Google Scholar 

  3. H. Hadwiger, Vorlesungen über Inhalt, Oberfläche und Isoperimetrie, Grundlagen Math. Wiss., no. XCIII, Springer-Verlag, Berlin, Göttingen, Heidelberg, 1957.

    Google Scholar 

  4. Daniel A. Klain, A short proof of Hadwiger’s characterization theorem, Mathematika 42 (1995), no. 84, 329–339.

    Article  MATH  MathSciNet  Google Scholar 

  5. Daniel A. Klain and Gian-Carlo Rota, Introduction to geometric probability, Cambridge University Press, 1997.

    Google Scholar 

  6. Jakob Steiner, Über parallele Flächen, Monatsbericht Akad. Wiss. Berlin (1840), 114–118.

    Google Scholar 

  7. Yong-Liang Yang, Yu-Kun Lai, Shi-Min Hu, and Helmut Pottmann, Robust Principal Curvatures on Multiple Scales, Proc. Sympos. Geometry Processing, 2006, pp. 223–226.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Birkhäuser Verlag Basel/Switzerland

About this chapter

Cite this chapter

Schröder, P. (2008). What Can We Measure?. In: Bobenko, A.I., Sullivan, J.M., Schröder, P., Ziegler, G.M. (eds) Discrete Differential Geometry. Oberwolfach Seminars, vol 38. Birkhäuser Basel. https://doi.org/10.1007/978-3-7643-8621-4_14

Download citation

Publish with us

Policies and ethics