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

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 applica

• Type: Conference
• Year: 2008
• Where: ECCV
• Authors: 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
• Keywords: Computer Vision, ECCV 2008, Institution National Museum, Isolated Leaf, Leaf Shape, Matching Species, Plant Species