Title
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.
Year
DOI
Venue
2008
10.1007/978-3-540-88693-8_9
COMPUTER VISION - ECCV 2008, PT IV, PROCEEDINGS
Keywords
Field
DocType
natural history,user interface,vision system,computer vision
Herbarium,Computer vision,Machine vision,Computer science,Visual identification,Augmented reality,Blank,Artificial intelligence,User interface,Plant species
Conference
Volume
ISSN
Citations 
5305
0302-9743
64
PageRank 
References 
Authors
4.13
19
11
Name
Order
Citations
PageRank
Peter N. Belhumeur1122421001.27
Daozheng Chen2735.05
Steven Feiner353611076.78
David W. Jacobs44599348.03
W. John Kress523410.89
Haibin Ling64531215.76
Ida Lopez7644.13
Ravi Ramamoorthi84481237.21
Sheorey, Sameer9926.84
Sean White1018812.04
Ling Zhang11644.13