dc.contributor.author
Block, Marco
dc.contributor.author
Ramírez Ortegón, Marte
dc.contributor.author
Seibert, Alexander
dc.contributor.author
Kretzschmar, Jan
dc.contributor.author
Rojas, Raúl
dc.date.accessioned
2018-06-08T07:24:49Z
dc.date.available
2009-10-14T11:19:08.824Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/17896
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-21616
dc.description.abstract
In this paper we present SITT, a simple robust scaleinvariant text feature
detector for document mosaicing. Digital image stitching has been studied for
several decades. SIFT-Features in combination with RANSAC algorithm are
established to produce good panoramas. The main problem of realtime text
document stitching is the size of the feature set created by SIFT-Features. We
introduce SITT-Features to solve this problem. Our experiments denote that for
document images SITT-Features produce faster good results than SIFT-Features.
de
dc.relation.ispartofseries
urn:nbn:de:kobv:188-fudocsseries000000000021-2
dc.rights.uri
http://www.fu-berlin.de/sites/refubium/rechtliches/Nutzungsbedingungen
dc.subject.ddc
000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::005 Computerprogrammierung, Programme, Daten
dc.title.subtitle
a simple robust scaleinvariant text feature detector
refubium.affiliation
Mathematik und Informatik
de
refubium.affiliation.other
Institut für Informatik
refubium.mycore.fudocsId
FUDOCS_document_000000003896
refubium.resourceType.isindependentpub
no
refubium.series.name
Freie Universität Berlin, Fachbereich Mathematik und Informatik
refubium.series.reportNumber
07-2
refubium.mycore.derivateId
FUDOCS_derivate_000000000740
dcterms.accessRights.openaire
open access
