Metoda za procjenu dubine scene temeljena na dubokom učenju

Veić, Matej

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master's thesis

Metoda za procjenu dubine scene temeljena na dubokom učenju

2022. urn:nbn:hr:168:678371

Veić, Matej

University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

APA 6th Edition

Veić, M. (2022). Metoda za procjenu dubine scene temeljena na dubokom učenju (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:678371

MLA 8th Edition

Veić, Matej. "Metoda za procjenu dubine scene temeljena na dubokom učenju." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:678371

Chicago 17th Edition

Veić, Matej. "Metoda za procjenu dubine scene temeljena na dubokom učenju." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:678371

Harvard

Veić, M. (2022). 'Metoda za procjenu dubine scene temeljena na dubokom učenju', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:678371

Vancouver

Veić M. Metoda za procjenu dubine scene temeljena na dubokom učenju [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 December 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:678371

IEEE

M. Veić, "Metoda za procjenu dubine scene temeljena na dubokom učenju", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:678371

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:678371

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Metadata

Title	Metoda za procjenu dubine scene temeljena na dubokom učenju
Title (english)	Scene Depth Estimation Method Based on Deep Learning
Author	Matej Veić
Mentor	Sven Lončarić (mentor)
Committee member	Sven Lončarić (predsjednik povjerenstva)
Committee member	Marko Subašić (član povjerenstva)
Committee member	Tomislav Petković (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing Zagreb
Defense date and country	2022-07-07, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing
Abstract	Procjena dubine na slici važan je problem računalnog vida koji se obično rješava korištenjem stereo vida. Problem je također moguće riješiti korištenjem samo jedne slike scene. Rad istražuje nekoliko različitih modela za procjenu dubine na temelju jedne slike. To su redom U-Net, ResNet, DenseNet i EfficientNet. Performanse modela ispitane su na dva skupa podataka te su detaljno dokumentirani rezultati.
Abstract (english)	Depth estimation on images is an importan computer vision task. It is usually being solved using stereo cameras. However, it is possible to estimate depth of a scene using only a single image. This thesis explores a couple of common models used for monocular depth estimation. Those are: U-Net, ResNet, DenseNet and EfficientNet. Performances of those models were examined on two separate datasets and results were documented in detail.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:168:678371
Study programme	Title: Computing Study programme type: university Study level: graduate Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resource	Text
File origin	Born digital
Access conditions	Closed access
Terms of use
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Created on	2023-01-14 10:11:30