Block, Marco ;  Ramírez Ortegón, Marte ;  Seibert, Alexander ;  Kretzschmar, Jan ;  Rojas, Raúl ;  Universität <Berlin, Freie Universität> / Fachbereich Mathematik und Informatik

Main titleSITT
Subtitlea simple robust scaleinvariant text feature detector
AuthorBlock, Marco
AuthorRamírez Ortegón, Marte
AuthorSeibert, Alexander
AuthorKretzschmar, Jan
AuthorRojas, Raúl
InstitutionUniversität <Berlin, Freie Universität> / Fachbereich Mathematik und Informatik
No. of Pages4 S.
Series Freie Universität Berlin, Fachbereich Mathematik und Informatik : Ser. B, Informatik ; [20]07,02
Classification (DDC)005 Computer programming, programs, data
AbstractIn 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.
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FU DepartmentDepartment of Mathematics and Computer Science
Other affiliation(s)Institut für Informatik
Year of publication2007
Type of documentWorking paper
Terms of use/Rights Nutzungsbedingungen
Created at2009-10-14 : 11:19:08
Last changed2015-03-03 : 01:30:43
Static URLhttp://edocs.fu-berlin.de/docs/receive/FUDOCS_document_000000003896