Paper Info
Title
Leafsnap: a computer vision system for automatic plant species identification
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.
Year
DOI
Venue
2012
10.1007/978-3-642-33709-3_36
ECCV (2)
Keywords
Field
DocType
automatic plant species identification,million user,automatic visual recognition,tree species,plant species,multiple scale,mobile app,computer vision system,new leafsnap dataset,computer vision component,northeastern united states
Computer vision,Mobile app,Computer science,Tree species,Visual recognition,Artificial intelligence,Plant species
Conference
Volume
ISSN
Citations 
7573
0302-9743
170
PageRank 
References 
Authors
6.41
12
7
Search Limit
100170
Name
Order
Citations
PageRank
Neeraj Kumar1162374.67
Peter N. Belhumeur2122421001.27
Arijit Biswas374738.43
David W. Jacobs44599348.03
W. John Kress523410.89
Ida C. Lopez61706.41
João V. B. Soares755121.31