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  • PROBLEM TO BE SOLVED: To provide a robust and high speed (calculation quantity of a logarithmic order for the number of models) image retrieval method. SOLUTION: The image retrieval method includes an extraction process for extracting a plurality of specific areas each having a property capable of normalizing shapes from one or more sheets of learning images regardless of affine transformation thereof as affine invariant areas, a calculation process for calculating, as a set, other affine invariant areas near an affine invariant area as a reference, a deformation process for deforming the nearby affine invariant area by using the transformation to normalize the shape of the affine invariant area as the reference, and an output process for outputting the deformed shape of the nearby affine invariant area together with the combination of the affine invariant area as the reference and the nearby affine invariant area.
  • PROBLEM TO BE SOLVED: To provide a robust and high speed (calculation quantity of a logarithmic order for the number of models) image retrieval method. SOLUTION: The image retrieval method includes an extraction process for extracting a plurality of specific areas each having a property capable of normalizing shapes from one or more sheets of learning images regardless of affine transformation thereof as affine invariant areas, a calculation process for calculating, as a set, other affine invariant areas near an affine invariant area as a reference, a deformation process for deforming the nearby affine invariant area by using the transformation to normalize the shape of the affine invariant area as the reference, and an output process for outputting the deformed shape of the nearby affine invariant area together with the combination of the affine invariant area as the reference and the nearby affine invariant area. (en)
Title
  • IMAGE RETRIEVAL METHOD AND DEVICE
  • IMAGE RETRIEVAL METHOD AND DEVICE (en)
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  • IMAGE RETRIEVAL METHOD AND DEVICE
  • IMAGE RETRIEVAL METHOD AND DEVICE (en)
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  • RIV/68407700:21230/11:00180522!RIV12-MSM-21230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0567), Z(MSM6840770038)
http://linked.open...cisloPatentuVzoru
  • JP4721830
http://linked.open...eleniPatentuVzoru
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 203553
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/11:00180522
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • computer vision (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [AA78C1142BB8]
http://linked.open.../licencniPoplatek
http://linked.open...ydaniPatentuVzoru
  • Tokyo
http://linked.open...atelePatentuVzoru
  • Japan Patent Office (JPO)
http://linked.open...in/vavai/riv/obor
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http://linked.open...ydaniPatentuVzoru
http://linked.open...iv/tvurceVysledku
  • Matas, Jiří
  • Chum, Ondřej
  • Sakai, K.
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
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  • ČVUT Praha 50%, Toyota Motor Company 50%
http://localhost/t...ganizacniJednotka
  • 21230
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