Random Ferns for Keypoint Recognition, Image Matching and Tracking - Implementation and Experiments
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00175524" target="_blank" >RIV/68407700:21230/10:00175524 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Random Ferns for Keypoint Recognition, Image Matching and Tracking - Implementation and Experiments
Original language description
We have implemented a ferns-based classifier in MATLAB and applied it in image matching, object detection and tracking applications. We improve recognition performance, especially for scale changes. Additional modifications should help to overcome Harriscorner detector inaccuracy and improve RANSAC homography estimation. We performed experiments with various real-world images and we show that our classifier is able to handle significant perspective changes.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>R - Projekt Ramcoveho programu EK
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů