IS = { zkontrolovano 08 Aug 2014 },
  UPDATE  = { 2014-08-05 },
 author =	 {{\v S}ulc, Milan and Matas, Ji{\v r}{\'\i}},
 title =	 {Fast Features Invariant to Rotation and Scale of Texture},
 institution =	 {Center for Machine Perception, K13133 FEE Czech Technical
 address =	 {Prague, Czech Republic},
 year =	 {2014},
 month =	 {July},
 type =	 {Research Report},
 number =	 {CTU--CMP--2014--12},
 issn =	 {1213-2365},
 pages =	 {20},
 figures =	 {9},
 authorship =	 {50-50},
 psurl =	 {[
 annote =	 {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.},
 keywords =	 {Computer Vision, Texture, Classification, LBP, LBP-HF,
                 Histogram, SVM, Feature maps, Ffirst},
 project =     {GACR P103/12/G084,SGS13/142/OHK3/2T/13},