Texture-Based Leaf Identification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00218862" target="_blank" >RIV/68407700:21230/14:00218862 - isvavai.cz</a>
Result on the web
<a href="http://cmp.felk.cvut.cz/~sulcmila/papers/Sulc-TR-2014-10.pdf" target="_blank" >http://cmp.felk.cvut.cz/~sulcmila/papers/Sulc-TR-2014-10.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Texture-Based Leaf Identification
Original language description
A novel approach to visual leaf identification is proposed. A leaf is represented by a pair of local feature histograms, one computed from the leaf interior, the other from the border. The histogrammed local features are an improved version of a recentlyproposed rotation and scale invariant descriptor based on local binary patterns (LBPs). Describing the leaf with multi-scale histograms of rotationally invariant features derived from sign- and magnitude-LBP provides a desirable level of invariance. Therepresentation does not use colour. Using the same parameter settings in all experiments and standard evaluation protocols, the method outperforms the state-of-the-art on all tested leaf sets - the Austrian Federal Forests d ataset, the Flavia dataset,the Foliage dataset, the Swedish dataset and the Midd le European Woods dataset - achieving excellent recognition rates above 99% . Preliminary results on images from the jnorth and south regions of Franc e obtained from the LifeCLEF'14 P
Czech name
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Czech description
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Classification
Type
V<sub>souhrn</sub> - Summary research report
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Number of pages
20
Place of publication
Praha
Publisher/client name
Center for Machine Perception, K13133 FEE Czech Technical University
Version
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