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Detekce významných křivek na 3D povrchových modelech
dc.creatorHmíra, Peter
dc.date.accessioned2021-05-20T14:07:55Z
dc.date.available2021-05-20T14:07:55Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/20.500.11956/80206
dc.description.abstractMost 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)cs_CZ
dc.description.abstractMost 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)en_US
dc.languageEnglishcs_CZ
dc.language.isoen_US
dc.publisherUniverzita Karlova, Matematicko-fyzikální fakultacs_CZ
dc.subjectsurface modelsen_US
dc.subjectcurve detectionen_US
dc.subjectrobust methodsen_US
dc.subjectdifferential geometryen_US
dc.subjectpovrchový modelcs_CZ
dc.subjectdetekce křivekcs_CZ
dc.subjectrobustní metodycs_CZ
dc.subjectdiferenciální geometriecs_CZ
dc.titleRobust feature curve detection in 3D surface modelsen_US
dc.typerigorózní prácecs_CZ
dcterms.created2016
dcterms.dateAccepted2016-01-11
dc.description.departmentKatedra softwarového inženýrstvícs_CZ
dc.description.departmentDepartment of Software Engineeringen_US
dc.description.facultyFaculty of Mathematics and Physicsen_US
dc.description.facultyMatematicko-fyzikální fakultacs_CZ
dc.identifier.repId172250
dc.title.translatedDetekce významných křivek na 3D povrchových modelechcs_CZ
dc.identifier.aleph002056237
thesis.degree.nameRNDr.
thesis.degree.levelrigorózní řízenícs_CZ
thesis.degree.disciplineSoftware Systemsen_US
thesis.degree.disciplineSoftwarové systémycs_CZ
thesis.degree.programComputer Scienceen_US
thesis.degree.programInformatikacs_CZ
uk.thesis.typerigorózní prácecs_CZ
uk.taxonomy.organization-csMatematicko-fyzikální fakulta::Katedra softwarového inženýrstvícs_CZ
uk.taxonomy.organization-enFaculty of Mathematics and Physics::Department of Software Engineeringen_US
uk.faculty-name.csMatematicko-fyzikální fakultacs_CZ
uk.faculty-name.enFaculty of Mathematics and Physicsen_US
uk.faculty-abbr.csMFFcs_CZ
uk.degree-discipline.csSoftwarové systémycs_CZ
uk.degree-discipline.enSoftware Systemsen_US
uk.degree-program.csInformatikacs_CZ
uk.degree-program.enComputer Scienceen_US
thesis.grade.csUznánocs_CZ
thesis.grade.enRecognizeden_US
uk.abstract.csMost 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)cs_CZ
uk.abstract.enMost 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)en_US
uk.file-availabilityV
uk.grantorUniverzita Karlova, Matematicko-fyzikální fakulta, Katedra softwarového inženýrstvícs_CZ
thesis.grade.codeU
uk.publication-placePrahacs_CZ
uk.thesis.defenceStatusU
dc.identifier.lisID990020562370106986


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