Zobrazit minimální záznam



dc.contributor.authorChum, Ondřej
dc.contributor.authorWerner, Tomáš
dc.contributor.authorMatas, Jiří
dc.date.accessioned2012-06-07T11:30:49Z
dc.date.available2012-06-07T11:30:49Z
dc.date.issued2004-08
dc.identifier.citationOndrej Chum, Tomáš Werner, and Jirí Matas. Epipolar geometry estimation via RANSAC benefits from the oriented epipolar constraint. In Mark Nixon Josef Kittler, Maria Petrou, editor, Proceedings of ICPR 2004 17th International Conference on Pattern Recognition, volume 1, pages 112-115, 10662 Los Vaqueros Circle, P.O.Box 3014, CA 90720-1314, Los Alamitos, USA, August 2004. IEEE, IEEE Computer Society.cze
dc.identifier.urihttp://hdl.handle.net/10467/9493
dc.description.abstractThe efficiency of epipolar geometry estimation by RANSAC is improved by exploiting the oriented epipolar constraint. Performance evaluation shows that the enhancement brings up to a two-fold speed-up. The orientation test is simple to implement, is universally applicable and takes negligible fraction of time compared with epipolar geometry computation.eng
dc.language.isocescze
dc.publisherIEEEcze
dc.rights© 2004 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.eng
dc.titleEpipolar Geometry Estimation via RANSAC Benefits from the Oriented Epipolar Constraintcze
dc.typepříspěvek z konference - elektronickýcze
dc.identifier.doi10.1109/ICPR.2004.1334020


Soubory tohoto záznamu



Tento záznam se objevuje v následujících kolekcích

Zobrazit minimální záznam