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Description
  • An object of the present invention is to provide an image search method that is robust and fast (with computational complexity of logarithmic order relative to the number of models). An image search method of the present invention comprises a normalization step of extracting a plurality of regions from one or more model images and normalizing the regions as standard regions; a classification step of setting a specific region in each normalized standard region and classifying the plurality of standard regions under two or more subsets on the basis of a feature of the specific region; a recursive classification step of iteratively performing an operation of setting another specific region at a location different from that of the aforementioned specific region in each standard region classified in each subset and classifying the plurality of standard regions under still more subsets on the basis of a feature of the other specific region; and an output step of outputting the locations of the specific regions in the standard regions in the respective classifications and the features of the specific regions in the classifications.
  • An object of the present invention is to provide an image search method that is robust and fast (with computational complexity of logarithmic order relative to the number of models). An image search method of the present invention comprises a normalization step of extracting a plurality of regions from one or more model images and normalizing the regions as standard regions; a classification step of setting a specific region in each normalized standard region and classifying the plurality of standard regions under two or more subsets on the basis of a feature of the specific region; a recursive classification step of iteratively performing an operation of setting another specific region at a location different from that of the aforementioned specific region in each standard region classified in each subset and classifying the plurality of standard regions under still more subsets on the basis of a feature of the other specific region; and an output step of outputting the locations of the specific regions in the standard regions in the respective classifications and the features of the specific regions in the classifications. (en)
Title
  • IMAGE SEARCH METHOD AND DEVICE
  • IMAGE SEARCH METHOD AND DEVICE (en)
skos:prefLabel
  • IMAGE SEARCH METHOD AND DEVICE
  • IMAGE SEARCH METHOD AND DEVICE (en)
skos:notation
  • RIV/68407700:21230/12:00198523!RIV13-MSM-21230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770038)
http://linked.open...cisloPatentuVzoru
  • EP1930852
http://linked.open...eleniPatentuVzoru
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 140499
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/12:00198523
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • image search; image retrieval; affine-invariant frames (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [A1A9D0F043BD]
http://linked.open.../licencniPoplatek
http://linked.open...ydaniPatentuVzoru
  • Munich, The Hague, Berlin, Vienna, Brussels
http://linked.open...atelePatentuVzoru
  • Evropský patentový úřad
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Matas, Jiří
  • Sakai, K.
  • Obdržálek, Štěpán
http://linked.open...mniOchranaPatentu
http://linked.open...avai/riv/vlastnik
http://linked.open...itiJinymSubjektem
http://linked.open...uzitiPatentuVzoru
http://linked.open...n/vavai/riv/zamer
http://linked.open...stnikPatentuVzoru
  • ČVUT Praha 50% Toyota Jidosha Kabushiki Kaisha 50%
http://localhost/t...ganizacniJednotka
  • 21230
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