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Robustní verze metody RANSAC

dc.contributor.advisorMatas Jiří
dc.contributor.authorLebeda Karel
dc.date.accessioned2013-01-30T01:11:36Z
dc.date.available2013-01-30T01:11:36Z
dc.date.issued2013-01-30
dc.date.submitted2013-01-30 02:00:04.0
dc.identifier283429198205
dc.identifier.urihttp://hdl.handle.net/10467/14636
dc.description.abstractIn this thesis, the problem of robust estimation of a multiple view geometry in the computer vision is studied. The main focus is put on random sampling techniques for an estimation of two-view geometries, in particular homography and epipolar geometry, in a presence of outliers. After a thorough analysis of LO-RANSAC, several improvements are proposed to make it more robust to the selection of the inlier/outlier error threshold and to the number of points. A new estimator, faster, more accurate and more robust than the state-of-the-art is the result. The improvements were implemented in the framework of CMP WBS-Demo and extensively tuned and experimentally tested on diverse data, using a newly created testing framework. The LO-RANSAC implementation for homography and epipolar geometry estimation has been separated from the rest of WBS-Demo and is now publicly available. The datasets were made available as well, including new manually annotated ground truth point correspondences.
dc.publisherČeské vysoké učení technické v Praze. Vypočetní a informační centrum.cze
dc.rightsA university thesis is a work protected by the Copyright Act. Extracts, copies and transcripts of the thesis are allowed for personal use only and at one’s own expense. The use of thesis should be in compliance with the Copyright Act http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf and the citation ethics http://www.cvut.cz/sites/default/files/content/d1dc93cd-5894-4521-b799-c7e715d3c59e/cs/20160901-metodicky-pokyn-c-12009-o-dodrzovani-etickych-principu-pri-priprave-vysokoskolskych.pdf.eng
dc.rightsVysokoškolská závěrečná práce je dílo chráněné autorským zákonem. Je možné pořizovat z něj na své náklady a pro svoji osobní potřebu výpisy, opisy a rozmnoženiny. Jeho využití musí být v souladu s autorským zákonem http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf a citační etikou http://www.cvut.cz/sites/default/files/content/d1dc93cd-5894-4521-b799-c7e715d3c59e/cs/20160901-metodicky-pokyn-c-12009-o-dodrzovani-etickych-principu-pri-priprave-vysokoskolskych.pdf.cze
dc.titleRobust Sampling Consensus
dc.titleRobustní verze metody RANSAC
dc.typediplomová prácecze
dc.date.updated2013-01-30T01:11:36Z
dc.date.accepted2013-01-24 08:00:00.0
dc.contributor.refereeWerner Tomáš
dc.description.departmentkatedra kybernetikycze
theses.degree.nameIng.cze
theses.degree.disciplinePočítačové vidění a digitální obrazcze
theses.degree.grantorFakulta elektrotechnickácze
theses.degree.programmeOtevřená informatika, navazující (magisterský)cze
evskp.contactČVUTcze


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