Robust feature curve detection in 3D surface models
Detekce významných křivek na 3D povrchových modelech
rigorózní práce (UZNÁNO)
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Trvalý odkaz
http://hdl.handle.net/20.500.11956/80206Identifikátory
SIS: 172250
Katalog UK: 990020562370106986
Kolekce
- Kvalifikační práce [11987]
Fakulta / součást
Matematicko-fyzikální fakulta
Obor
Softwarové systémy
Katedra / ústav / klinika
Katedra softwarového inženýrství
Datum obhajoby
11. 1. 2016
Nakladatel
Univerzita Karlova, Matematicko-fyzikální fakultaJazyk
Angličtina
Známka
Uznáno
Klíčová slova (česky)
povrchový model, detekce křivek, robustní metody, diferenciální geometrieKlíčová slova (anglicky)
surface models, curve detection, robust methods, differential geometryMost 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)
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)