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Scale Selection

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Computer Vision

Synonyms

Automatic scale selection; Scale-invariant image features and image descriptors

Related Concepts

Corner Detection; Edge Detection

Definition

The notion of scale selection refers to methods for estimating characteristic scales in image data and for automatically determining locally appropriate scales in a scale-space representation, so as to adapt subsequent processing to the local image structure and compute scale-invariant image features and image descriptors.

An essential aspect of the approach is that it allows for a bottom-up determination of inherent scales of features and objects without first recognizing them or delimiting, alternatively segmenting, them from their surroundings.

Scale selection methods have also been developed from other viewpoints of performing noise suppression and exploring top-down information.

Background

The concept of scaleis essential when computing features and descriptors from image data. Real-world objects may contain different types of...

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Author information

Authors and Affiliations

  1. School of Computer Science and Communication, KTH Royal Institute of Technology, Stockholm, Sweden

    Tony Lindeberg

Authors
  1. Tony Lindeberg
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Editor information

Editors and Affiliations

  1. Institute of Industrial Science, The University of Tokyo, Tokyo, Japan

    Katsushi Ikeuchi

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© 2014 Springer Science+Business Media New York

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Lindeberg, T. (2014). Scale Selection. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_242

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