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Title:Primerjava algoritmov za registracijo 3D oblakov točk : diplomsko delo
Authors:ID Mohorič, Aljaž (Author)
ID Lipuš, Bogdan (Mentor) More about this mentor... New window
Files:.pdf UN_Mohoric_Aljaz_2022.pdf (1,61 MB)
MD5: 583BC914C9EF197F9284298D57D14487
PID: 20.500.12556/dkum/cb669923-3aca-482f-a1d8-1c1d9b3ea394
 
Language:Slovenian
Work type:Bachelor thesis/paper (mb11)
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Diplomsko delo je namenjeno primerjavi različic iterativnega algoritma najbližje točke in raziskovanju algoritma in njegovih različic. V nadaljevanju bomo predstavili začetke algoritma, njegovo delovanje, pomembne pojme ter delovanje in teoretično ozadje različic algoritma. Prikazali bomo tudi implementacijo štirih različic algoritma, ki so: iterativni algoritem najbližje točke, iterativni algoritem najbližje točke z uporabo normal, nelinearen iterativni algoritem najbližje točke in posplošen iterativni algoritem najbližje točke. Vse različice bomo testirali z različnimi parametri nad različnimi 3D oblaki točk. Rezultati kažejo, da sta algoritem najbližje točke in algoritem najbližje točke z uporabo normal najboljša za splošno uporabo.
Keywords:diplomska dela, algoritem, točke, registracija oblakov točk, 3D oblak točk
Year of publishing:2022
Place of performance:Maribor
Publisher:[A. Mohorič]
Number of pages:1 spletni vir (1 datoteka PDF (X, 56 f.))
Source:Maribor
PID:20.500.12556/DKUM-81126 New window
UDC:004.92.021(043.2)
COBISS.SI-ID:99843843 New window
Publication date in DKUM:16.02.2022
Views:444
Downloads:118
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:12.01.2022

Secondary language

Language:English
Title:Comparison of algorithms for 3D point cloud registration
Abstract:In our thesis we study and compare algorithms for aligning 3D point clouds called iterative closest point algorithms and different variants of it. First we explore the beginnings of the algorithm, the theory behind algorithm, important concepts and diffrent variants of the algorithm. We will get to know four variants of algorithm, which are: iterative closest point algorithm, iterative closest point algorithm with normals, nonlinear iterative closest point algorithm and generalised iterative closest point algorithm. All of them will be tested with diffrent parameters and diffrent 3D point clouds. The results show, that iterative closest point algorithm and iterative closest point algorithm with normals are the best in most cases.
Keywords:thesis, algorithm, points, registration of point clouds, 3D point cloud


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