Full Content is available to subscribers

Subscribe/Learn More  >
Proceedings Article

Height data from gradient maps

[+] Author Affiliations
Reinhard Klette

Univ. of Auckland (New Zealand)

Karsten Schluens

Technische Univ. Berlin (Germany)

Proc. SPIE 2908, Machine Vision Applications, Architectures, and Systems Integration V, 204 (October 31, 1996); doi:10.1117/12.257265
Text Size: A A A
From Conference Volume 2908

  • Machine Vision Applications, Architectures, and Systems Integration V
  • Susan Snell Solomon; Bruce G. Batchelor; Frederick M. Waltz
  • Boston, MA | November 18, 1996

abstract

The paper starts with a review of integration techniques for calculating height maps from dense gradient fields. There exist a few proposals of local integration methods, and two proposals for global optimization. Several experimental evaluations of such integration techniques are discussed in this paper. The examined algorithms received high markings on curved objects but low markings on polyhedral shapes. Locally adaptive approaches are suggested to cope with complex shapes in general.

© (1996) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Reinhard Klette and Karsten Schluens
"Height data from gradient maps", Proc. SPIE 2908, Machine Vision Applications, Architectures, and Systems Integration V, 204 (October 31, 1996); doi:10.1117/12.257265; http://dx.doi.org/10.1117/12.257265


Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).

Figures

Tables

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Advertisement

 

 

  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.