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Description
  • Presented here is a method for pattern recognition. The pattern in this context is a set of points represented as a set of pairs of coordinates. Given a register of template patterns and an image pattern the method assigns a quantity to each template pattern expressing the similarity between that template pattern and the image pattern. The method uses an invariant description of the patterns unaffected by pattern transformations (translation, rotation, noise perturbations in coordinates or point deletion/addition). We performed a test to estimate some properties of the method, i.e. the probability that a wrong template pattern could be assigned to a given image pattern. The method can be used for object recognition in cases where an object can be represented as a point pattern, i.e. stars in the sky. Included is a brief note about the implementation in Matlab.
  • Presented here is a method for pattern recognition. The pattern in this context is a set of points represented as a set of pairs of coordinates. Given a register of template patterns and an image pattern the method assigns a quantity to each template pattern expressing the similarity between that template pattern and the image pattern. The method uses an invariant description of the patterns unaffected by pattern transformations (translation, rotation, noise perturbations in coordinates or point deletion/addition). We performed a test to estimate some properties of the method, i.e. the probability that a wrong template pattern could be assigned to a given image pattern. The method can be used for object recognition in cases where an object can be represented as a point pattern, i.e. stars in the sky. Included is a brief note about the implementation in Matlab. (en)
Title
  • Point Pattern Recognition.
  • Point Pattern Recognition. (en)
skos:prefLabel
  • Point Pattern Recognition.
  • Point Pattern Recognition. (en)
skos:notation
  • RIV/68407700:21220/10:00170954!RIV11-MSM-21220___
http://linked.open...avai/riv/aktivita
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  • S
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
  • 279544
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21220/10:00170954
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • pattern recognition; point set; object identification (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F23F162D514F]
http://linked.open...v/mistoKonaniAkce
  • Bratislava
http://linked.open...i/riv/mistoVydani
  • Bratislava
http://linked.open...i/riv/nazevZdroje
  • Technical Computing Bratislava 2010
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Rošický, Jiří
  • Studenovský, P.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • RT systems, s.r.o
https://schema.org/isbn
  • 978-80-970519-0-7
http://localhost/t...ganizacniJednotka
  • 21220
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