This HTML5 document contains 46 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n21http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n19http://purl.org/net/nknouf/ns/bibtex#
n6http://localhost/temp/predkladatel/
n15http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n13http://linked.opendata.cz/resource/domain/vavai/projekt/
n11http://linked.opendata.cz/ontology/domain/vavai/
n22https://schema.org/
n10http://linked.opendata.cz/resource/domain/vavai/zamer/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n4http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n20http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n16http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F68407700%3A21230%2F09%3A00163386%21RIV10-MSM-21230___/
n17http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n14http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n18http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n7http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n9http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F09%3A00163386%21RIV10-MSM-21230___
rdf:type
n11:Vysledek skos:Concept
dcterms:description
In this paper we present a pipeline for camera pose and trajectory estimation, and image stabilization and rectification for dense as well as wide baseline omnidirectional images. The input is a set of images taken by a single hand-held camera. The output is a set of stabilized and rectified images augmented by the computed camera 3D trajectory and reconstruction of feature points facilitating visual object recognition. The paper generalizes previous works on camera trajectory estimation done on perspective images to omnidirectional images and introduces a new technique for omnidirectional image rectification that is suited for recognizing people and cars in images. The performance of the pipeline is demonstrated on a real image sequence acquired in urban as well as natural environments. In this paper we present a pipeline for camera pose and trajectory estimation, and image stabilization and rectification for dense as well as wide baseline omnidirectional images. The input is a set of images taken by a single hand-held camera. The output is a set of stabilized and rectified images augmented by the computed camera 3D trajectory and reconstruction of feature points facilitating visual object recognition. The paper generalizes previous works on camera trajectory estimation done on perspective images to omnidirectional images and introduces a new technique for omnidirectional image rectification that is suited for recognizing people and cars in images. The performance of the pipeline is demonstrated on a real image sequence acquired in urban as well as natural environments.
dcterms:title
Omnidirectional Image Stabilization by Computing Camera Trajectory Omnidirectional Image Stabilization by Computing Camera Trajectory
skos:prefLabel
Omnidirectional Image Stabilization by Computing Camera Trajectory Omnidirectional Image Stabilization by Computing Camera Trajectory
skos:notation
RIV/68407700:21230/09:00163386!RIV10-MSM-21230___
n3:aktivita
n17:P n17:Z
n3:aktivity
P(7E09062), Z(MSM6840770038)
n3:dodaniDat
n9:2010
n3:domaciTvurceVysledku
n15:6245269 n15:1027832 n15:5043476
n3:druhVysledku
n7:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
331304
n3:idVysledku
RIV/68407700:21230/09:00163386
n3:jazykVysledku
n14:eng
n3:klicovaSlova
Structure from Motion; Omnidirectional Vision
n3:klicoveSlovo
n4:Structure%20from%20Motion n4:Omnidirectional%20Vision
n3:kontrolniKodProRIV
[E30CDEDB30D0]
n3:mistoKonaniAkce
Tokyo
n3:mistoVydani
Berlin
n3:nazevZdroje
PSIVT '09: Advances in Image and Video Technology: Third Pacific Rim Symposium
n3:obor
n18:JD
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n13:7E09062
n3:rokUplatneniVysledku
n9:2009
n3:tvurceVysledku
Torii, Akihiko Havlena, Michal Pajdla, Tomáš
n3:typAkce
n21:WRD
n3:wos
000263213300007
n3:zahajeniAkce
2009-01-13+01:00
n3:zamer
n10:MSM6840770038
s:issn
0302-9743
s:numberOfPages
12
n19:hasPublisher
Springer-Verlag
n22:isbn
978-3-540-92956-7
n6:organizacniJednotka
21230