Searching the World’s Herbaria: A System for Visual Identification of Plant Species

  • Peter N. Belhumeur
  • Daozheng Chen
  • Steven Feiner
  • David W. Jacobs
  • W. John Kress
  • Haibin Ling
  • Ida Lopez
  • Ravi Ramamoorthi
  • Sameer Sheorey
  • Sean White
  • Ling Zhang
Conference paper

DOI: 10.1007/978-3-540-88693-8_9

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5305)
Cite this paper as:
Belhumeur P.N. et al. (2008) Searching the World’s Herbaria: A System for Visual Identification of Plant Species. In: Forsyth D., Torr P., Zisserman A. (eds) Computer Vision – ECCV 2008. ECCV 2008. Lecture Notes in Computer Science, vol 5305. Springer, Berlin, Heidelberg

Abstract

We describe a working computer vision system that aids in the identification of plant species. A user photographs an isolated leaf on a blank background, and the system extracts the leaf shape and matches it to the shape of leaves of known species. In a few seconds, the system displays the top matching species, along with textual descriptions and additional images. This system is currently in use by botanists at the Smithsonian Institution National Museum of Natural History. The primary contributions of this paper are: a description of a working computer vision system and its user interface for an important new application area; the introduction of three new datasets containing thousands of single leaf images, each labeled by species and verified by botanists at the US National Herbarium; recognition results for two of the three leaf datasets; and descriptions throughout of practical lessons learned in constructing this system.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Peter N. Belhumeur
    • 1
  • Daozheng Chen
    • 2
  • Steven Feiner
    • 1
  • David W. Jacobs
    • 2
  • W. John Kress
    • 3
  • Haibin Ling
    • 4
  • Ida Lopez
    • 3
  • Ravi Ramamoorthi
    • 1
  • Sameer Sheorey
    • 2
  • Sean White
    • 1
  • Ling Zhang
    • 3
  1. 1.Dept. Of Computer ScienceColumbia UniversityNew York NY 
  2. 2.Dept. Of Computer ScienceUniversity of MarylandCollege Park MD 
  3. 3.Department Of Botany, National Museum of Natural History, Smithsonian InstitutionWashington, DC 
  4. 4.Information Science and Technology CenterTemple UniversityPhiladelphia PA 

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