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Discrete derivative approximations with scale-space properties

  • Tony Lindeberg
Chapter
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 256)

Abstract

A commonly occurring problem in computer vision concerns how to compute derivative approximations from discrete data. This problem arises, for example, when computing image descriptors such as features or differential invariants from image data and when relating image properties to phenomena in the outside world. Since differential geometry is a natural framework for describing geometric relations, formulations in terms of derivatives can be expected to arise in a large number of vision problems.

Keywords

Gaussian Kernel Filter Coefficient Discrete Approximation Discrete Analogue Discrete Signal 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 1994

Authors and Affiliations

  • Tony Lindeberg
    • 1
  1. 1.Royal Institute of TechnologyStockholmSweden

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