Botanists’  Vision Open image in new window

  • Paolo Remagnino
  • Simon Mayo
  • Paul Wilkin
  • James Cope
  • Don Kirkup
Chapter

Abstract

First-rate botanists have accumulated extensive experience in studying and identifying plants and this forms the foundation for their greater intuitive powers of species recognition. This suggests that it may be possible to improve on computational methods by investigating how botanists gather classificatory information from visual scanning of leaves, either from images or from actual specimens. Such data needs to be captured through the use of eye-tracking technology, since for the botanist this process is mostly intuitive.

Keywords

Gaussian Mixture Model Filter Bank Input Pattern Human Visual System Gabor Filter 
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.

Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  • Paolo Remagnino
    • 1
  • Simon Mayo
    • 2
  • Paul Wilkin
    • 3
  • James Cope
    • 4
  • Don Kirkup
    • 5
  1. 1.Faculty of Computing, Information Systems and MathematicsKingston UniversitySurreyUK
  2. 2.Department of Identification and NamingRoyal Botanic Gardens, KewRichmond, SurreyUK
  3. 3.Department of Natural Capital and Plant HealthRoyal Botanic Gardens, KewRichmond, SurreyUK
  4. 4.Digital Imaging Research CentreKingston UniversitySurreyUK
  5. 5.Department of Biodiversity Informatics and Spatial AnalysisRoyal Botanic Gardens, KewRichmond, SurreyUK

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