Searching the World's Herbaria: A System for Visual Identification of Plant Species
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.
Cite
Text
Belhumeur et al. "Searching the World's Herbaria: A System for Visual Identification of Plant Species." European Conference on Computer Vision, 2008. doi:10.1007/978-3-540-88693-8_9Markdown
[Belhumeur et al. "Searching the World's Herbaria: A System for Visual Identification of Plant Species." European Conference on Computer Vision, 2008.](https://mlanthology.org/eccv/2008/belhumeur2008eccv-searching/) doi:10.1007/978-3-540-88693-8_9BibTeX
@inproceedings{belhumeur2008eccv-searching,
title = {{Searching the World's Herbaria: A System for Visual Identification of Plant Species}},
author = {Belhumeur, Peter N. and Chen, Daozheng and Feiner, Steven and Jacobs, David W. and Kress, W. John and Ling, Haibin and Lopez, Ida C. and Ramamoorthi, Ravi and Sheorey, Sameer and White, Sean and Zhang, Ling},
booktitle = {European Conference on Computer Vision},
year = {2008},
pages = {116-129},
doi = {10.1007/978-3-540-88693-8_9},
url = {https://mlanthology.org/eccv/2008/belhumeur2008eccv-searching/}
}