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.
If your browser can't open the file, please download the file first and then open it
FU DepartmentDepartment of Mathematics and Computer Science
Other affiliation(s)Institut für Informatik
Year of publication2007
Type of documentMaps
Terms of use/Rights Nutzungsbedingungen
Created at2009-10-14 : 11:19:08
Last changed2014-01-23 : 04:21:32
Static URLhttp://edocs.fu-berlin.de/docs/receive/FUDOCS_document_000000003896