Original title: Detekce významných křivek na 3D povrchových modelech
Translated title: Robust feature curve detection in 3D surface models
Authors: Hmíra, Peter ; Dupej, Ján (advisor) ; Pelikán, Josef (referee)
Document type: Master’s theses
Year: 2015
Language: eng
Abstract: [eng] [cze]
Most current algorithms typically lack in robustness to noise or do not handle T-shaped curve joining properly. There is a challenge to not only detect features in the noisy 3D-data obtained from the digital scanners. Moreover, most of the algorithms even when they are robust to noise, they lose the feature information near the T-shaped junctions as the triplet of lines ``confuses'' the algorithm so it treats it as a plane. Powered by TCPDF (www.tcpdf.org) Väčšina algoritmov zaoberajúcich sa detekciou črtov, nemá dostatočnú robustnosť voči šumu alebo nezvládajú vhodne spoje na povrchu v tvare písmena T. Prináša to nové výzvy navrhnúť taký algoritmus, ktorý nielen nájde črty na zašumených 3D-dátach získaných pomocou 3D-skenera. Dnešné algoritmy aj keď sú dostatočne robustné voči šumu, v okolí spojov v tvare T stratia dôležité informácie o črtoch, nakoľko trojicu čiar alebo kriviek vyhodnotia ako rovinu. Powered by TCPDF (www.tcpdf.org)
Keywords: curve detection; differential geometry; robust methods; surface models; detekce křivek; diferenciální geometrie; povrchový model; robustní metody

Institution: Charles University Faculties (theses) (web)
Document availability information: Available in the Charles University Digital Repository.
Original record: http://hdl.handle.net/20.500.11956/77687

Permalink: http://www.nusl.cz/ntk/nusl-347205


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Universities and colleges > Public universities > Charles University > Charles University Faculties (theses)
Academic theses (ETDs) > Master’s theses