About: Matching of Images of Non-planar Objects with View Synthesis     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
rdfs:seeAlso
Description
  • We explore the performance of the recently proposed two-view image matchin g algorithms using affine view synthesis ASIFT (Morel and Yu, 2009) [14] and MODS (Mishkin, Perdoch and Matas, 2013) [10] on images of objects that do not have significant local texture and that are l ocally not well approximated by planes. Experiments show that view synthesis improves matching resul ts on images of such objects, but the number of useful synthetic views is lower than for planar objects matching. The best detector for matching images of 3D objects is the Hessian-Affine in the Sparse configuration. The iterative MODS matcher performs comparably confirming it is a robust, generic method for two view matching that performs well for different types of scenes and a wide range of viewing conditions.
  • We explore the performance of the recently proposed two-view image matchin g algorithms using affine view synthesis ASIFT (Morel and Yu, 2009) [14] and MODS (Mishkin, Perdoch and Matas, 2013) [10] on images of objects that do not have significant local texture and that are l ocally not well approximated by planes. Experiments show that view synthesis improves matching resul ts on images of such objects, but the number of useful synthetic views is lower than for planar objects matching. The best detector for matching images of 3D objects is the Hessian-Affine in the Sparse configuration. The iterative MODS matcher performs comparably confirming it is a robust, generic method for two view matching that performs well for different types of scenes and a wide range of viewing conditions. (en)
Title
  • Matching of Images of Non-planar Objects with View Synthesis
  • Matching of Images of Non-planar Objects with View Synthesis (en)
skos:prefLabel
  • Matching of Images of Non-planar Objects with View Synthesis
  • Matching of Images of Non-planar Objects with View Synthesis (en)
skos:notation
  • RIV/68407700:21230/14:00218867!RIV15-GA0-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GBP103/12/G084)
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
  • 27531
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/14:00218867
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • feature detectors; view synthesis; image matching (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7CAFE773B6AA]
http://linked.open...v/mistoKonaniAkce
  • High Tatras
http://linked.open...i/riv/mistoVydani
  • Cham
http://linked.open...i/riv/nazevZdroje
  • SOFSEM 2014: Theory and Practice of Computer Science
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
  • Matas, Jiří
  • Mishkin, Dmytro
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000342283300004
http://linked.open.../riv/zahajeniAkce
issn
  • 0302-9743
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-319-04298-5_4
http://purl.org/ne...btex#hasPublisher
  • Springer International Publishing AG
https://schema.org/isbn
  • 978-3-319-04297-8
http://localhost/t...ganizacniJednotka
  • 21230
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 35 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software