Fast Features Invariant to Rotation and Scale of Texture

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00230200" target="_blank" >RIV/68407700:21230/15:00230200 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-16181-5_4" target="_blank" >http://dx.doi.org/10.1007/978-3-319-16181-5_4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-16181-5_4" target="_blank" >10.1007/978-3-319-16181-5_4</a>

Result language
angličtina
Original language name
Fast Features Invariant to Rotation and Scale of Texture
Original language description
A family of novel texture representations called Ffirst, the Fast Features Invariant to Rotation and Scale of Texture, is introduced. New rotation invariants are proposed, extending the LBP-HF features, improving the recognition accuracy. Using the fullset of LBP features, as opposed to uniform only, leads to further improvement. Linear Support Vector Machines with an approximate chi2 kernel map are used for fast and precise classification. Experimental results show that Ffirst exceeds the best reported results in texture classification on three difficult datasets KTH-TIPS2a, KTH-TIPS2b and ALOT, achieving 88%, 76% and 96% accuracy respectively. The recognition rates are above 99% on standard texture datasets KTH-TIPS, Brodatz32, UIUCTex, UMD, CUReT.
Czech name
—
Czech description
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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

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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