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. © 2008 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Belhumeur, P. N., Chen, D., Feiner, S., Jacobs, D. W., Kress, W. J., Ling, H., … Zhang, L. (2008). Searching the world’s Herbaria: A system for visual identification of plant species. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5305 LNCS, pp. 116–129). Springer Verlag. https://doi.org/10.1007/978-3-540-88693-8_9
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