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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 full set of LBP features, as opposed to uniform only, leads to further improvement. Linear Support Vector Machines with an approximate $chi^2$-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 texture 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.
  • 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 full set of LBP features, as opposed to uniform only, leads to further improvement. Linear Support Vector Machines with an approximate $chi^2$-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 texture 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. (en)
Title
  • Fast Features Invariant to Rotation and Scale of Texture
  • Fast Features Invariant to Rotation and Scale of Texture (en)
skos:prefLabel
  • Fast Features Invariant to Rotation and Scale of Texture
  • Fast Features Invariant to Rotation and Scale of Texture (en)
skos:notation
  • RIV/68407700:21230/14:00218863!RIV15-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GBP103/12/G084), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 16501
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/14:00218863
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Computer Vision; Texture; Classification; LBP; LBP-HF; Histogram; SVM; Feature maps; Ffirst (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4EF75539193F]
http://linked.open...i/riv/mistoVydani
  • Praha
http://linked.open...telVyzkumneZpravy
  • Center for Machine Perception, K13133 FEE Czech Technical University
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Matas, Jiří
  • Šulc, Milan
number of pages
http://localhost/t...ganizacniJednotka
  • 21230
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