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undergraduate thesis
Samo-nadzirano učenje procjene dubine za nekalibrirane kamere.
2022. urn:nbn:hr:168:087391
Pašalić, Ante
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Pašalić, A. (2022). Samo-nadzirano učenje procjene dubine za nekalibrirane kamere. (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:087391

Pašalić, Ante. "Samo-nadzirano učenje procjene dubine za nekalibrirane kamere.." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:087391

Pašalić, Ante. "Samo-nadzirano učenje procjene dubine za nekalibrirane kamere.." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:087391

Pašalić, A. (2022). 'Samo-nadzirano učenje procjene dubine za nekalibrirane kamere.', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 30 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:087391

Pašalić A. Samo-nadzirano učenje procjene dubine za nekalibrirane kamere. [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 November 30] Available at: https://urn.nsk.hr/urn:nbn:hr:168:087391

A. Pašalić, "Samo-nadzirano učenje procjene dubine za nekalibrirane kamere.", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:087391

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Metadata
TitleSamo-nadzirano učenje procjene dubine za nekalibrirane kamere.
Title (english)Self-supervised learning of depth estimation for uncalibrated cameras.
AuthorAnte Pašalić
MentorIvan Marković (mentor)
Committee memberIvan Marković (član povjerenstva)
Committee memberLuka Petrović (član povjerenstva)
Committee memberKarlo Koledić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-09-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom Završnom radu opisani su koncepti umjetnih neuronskih mreža te konvo- lucijskih neuronskih mreža. Opisan je naˇcin treniranja neuronskih mreža, te prikladnih skupova podataka za treniranje tih mreža. Osim toga, navedeni su temeljni koncepti kalibracije kamere. Tako ̄der je opisana struktura projekta Monodepth2 za procjenu dubine slike, koja je zatim nadogra ̄dena koriste ́ci zasebnu konvolucijsku neuronsku mrežu za kalibraciju kamere.
Abstract (english)
In this BSc Thesis, the concepts of artificial neural networks and convolutional neural networks are described. Aside from that, the method of training neural networks and suitable datasets for training those networks are described. In addition, the basic concepts of camera calibration are outlined. Also described is the structure of the Monodepth2 project for image depth estimation, which was then upgraded using an additional convolutional neural network for camera calibration.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:087391
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-15 10:58:29