Robust feature curve detection in 3D surface models
Detekce významných křivek na 3D povrchových modelech
rigorous thesis (RECOGNIZED)
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Permanent link
http://hdl.handle.net/20.500.11956/80206Identifiers
Study Information System: 172250
CU Catalogue: 990020562370106986
Collections
- Kvalifikační práce [11983]
Faculty / Institute
Faculty of Mathematics and Physics
Discipline
Software Systems
Department
Department of Software Engineering
Date of defense
11. 1. 2016
Publisher
Univerzita Karlova, Matematicko-fyzikální fakultaLanguage
English
Grade
Recognized
Keywords (Czech)
povrchový model, detekce křivek, robustní metody, diferenciální geometrieKeywords (English)
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)