About: Epipolar Plane Images as a Tool to Seek Correspondences in a Dense Sequence     Goto   Sponge   NotDistinct   Permalink

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Description
  • We present a method seeking correspondences in a dense rectified image sequence, considered as a set of Epipolar Plane Images (EPI). The main idea is to employ dense sequence to get more information which could guide the correspondence algorithm. The method is intensity based, no features are detected. Our spatio-temporal volume analysis approach aims at accuracy and density of the correspondences. Two cost functions are used, quantifying the belief that given correspondence candidate is correct. The first one is based on projections of one scene point to the spatio-temporal data, while the second one uses two-dimensional neighborhood (in image plane) around such projections. The assumed opaque Lambertian surface without occlusions allows us to use a simple correspondence seeking algorithm based on minimization of a global criterion using dynamic programming.
  • We present a method seeking correspondences in a dense rectified image sequence, considered as a set of Epipolar Plane Images (EPI). The main idea is to employ dense sequence to get more information which could guide the correspondence algorithm. The method is intensity based, no features are detected. Our spatio-temporal volume analysis approach aims at accuracy and density of the correspondences. Two cost functions are used, quantifying the belief that given correspondence candidate is correct. The first one is based on projections of one scene point to the spatio-temporal data, while the second one uses two-dimensional neighborhood (in image plane) around such projections. The assumed opaque Lambertian surface without occlusions allows us to use a simple correspondence seeking algorithm based on minimization of a global criterion using dynamic programming. (en)
Title
  • Epipolar Plane Images as a Tool to Seek Correspondences in a Dense Sequence
  • Epipolar Plane Images as a Tool to Seek Correspondences in a Dense Sequence (en)
skos:prefLabel
  • Epipolar Plane Images as a Tool to Seek Correspondences in a Dense Sequence
  • Epipolar Plane Images as a Tool to Seek Correspondences in a Dense Sequence (en)
skos:notation
  • RIV/68407700:21230/03:03091297!RIV/2004/GA0/212304/N
http://linked.open.../vavai/riv/strany
  • 74 ; 81
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/03/0440), Z(MSM 212300013)
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
  • 606106
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/03:03091297
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • EPI;correspondence;epipolar plane image (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [3D5218475B91]
http://linked.open...v/mistoKonaniAkce
  • Groningen
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • CAIP 2003: Computer Analysis of Images and Patterns
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Hlaváč, Václav
  • Matoušek, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 3-540-40730-8
http://localhost/t...ganizacniJednotka
  • 21230
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