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Proceedings Paper

Height data from gradient maps
Author(s): Reinhard Klette; Karsten Schluens
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Paper 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.

Paper Details

Date Published: 31 October 1996
PDF: 12 pages
Proc. SPIE 2908, Machine Vision Applications, Architectures, and Systems Integration V, (31 October 1996); doi: 10.1117/12.257265
Show Author Affiliations
Reinhard Klette, Univ. of Auckland (New Zealand)
Karsten Schluens, Technische Univ. Berlin (Germany)


Published in SPIE Proceedings Vol. 2908:
Machine Vision Applications, Architectures, and Systems Integration V
Susan Snell Solomon; Bruce G. Batchelor; Frederick M. Waltz, Editor(s)

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