Paper
31 October 1996 Height data from gradient maps
Reinhard Klette, Karsten Schluens
Author Affiliations +
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 Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Reinhard Klette and Karsten Schluens "Height data from gradient maps", Proc. SPIE 2908, Machine Vision Applications, Architectures, and Systems Integration V, (31 October 1996); https://doi.org/10.1117/12.257265
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CITATIONS
Cited by 35 scholarly publications.
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KEYWORDS
Error analysis

Optical spheres

Reconstruction algorithms

Distortion

Computer vision technology

Machine vision

Statistical analysis

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