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Biological Cybernetics

, Volume 112, Issue 5, pp 415–425 | Cite as

The effect of structure on image classification using signatures

  • Raymond Roccaforte
  • Florian Raudies
Original Article
  • 52 Downloads

Abstract

Humans recognize transformed images from a very small number of samples. Inspired by this idea, we evaluate a classification method that requires only one sample per class, while providing invariance to image transformations generated by a compact group. This method is based on signatures computed for images. We test and illustrate this theory through simulations that highlight the role of image structure and sampling density, as well as how the signatures are constructed. We extend the existing theory to account for variations in recognition accuracy due to image structure.

Keywords

Image classification Invariance Signature 

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Hewlett Packard LabsPalo AltoUSA

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