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Leafsnap: A Computer Vision System for Automatic Plant Species Identification

  • Neeraj Kumar
  • Peter N. Belhumeur
  • Arijit Biswas
  • David W. Jacobs
  • W. John Kress
  • Ida C. Lopez
  • João V. B. Soares
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7573)

Abstract

We describe the first mobile app for identifying plant species using automatic visual recognition. The system – called Leafsnap – identifies tree species from photographs of their leaves. Key to this system are computer vision components for discarding non-leaf images, segmenting the leaf from an untextured background, extracting features representing the curvature of the leaf’s contour over multiple scales, and identifying the species from a dataset of the 184 trees in the Northeastern United States. Our system obtains state-of-the-art performance on the real-world images from the new Leafsnap Dataset – the largest of its kind. Throughout the paper, we document many of the practical steps needed to produce a computer vision system such as ours, which currently has nearly a million users.

Keywords

Input Image Contour Point Leaf Image Computer Vision System Histogram Intersection 
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-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Neeraj Kumar
    • 1
  • Peter N. Belhumeur
    • 2
  • Arijit Biswas
    • 3
  • David W. Jacobs
    • 3
  • W. John Kress
    • 4
  • Ida C. Lopez
    • 4
  • João V. B. Soares
    • 3
  1. 1.University of WashingtonSeattleUSA
  2. 2.Columbia UniversityNew YorkUSA
  3. 3.University of MarylandCollege ParkUSA
  4. 4.National Museum of Natural History, Smithsonian InstitutionWashingtonUSA

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