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undergraduate thesis
Određivanje dubine scene primjenom dubokog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. urn:nbn:hr:168:849900
Kliman, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Kliman, I. (2018). Određivanje dubine scene primjenom dubokog učenja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:849900

Kliman, Ivan. "Određivanje dubine scene primjenom dubokog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:849900

Kliman, Ivan. "Određivanje dubine scene primjenom dubokog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:849900

Kliman, I. (2018). 'Određivanje dubine scene primjenom dubokog učenja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:849900

Kliman I. Određivanje dubine scene primjenom dubokog učenja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 November 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:849900

I. Kliman, "Određivanje dubine scene primjenom dubokog učenja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:849900

Metadata
TitleOdređivanje dubine scene primjenom dubokog učenja
Title (english)Estimation of the Scene Depth Using Deep Learning
AuthorIvan Kliman
MentorTomislav Hrkać (mentor)
Committee memberTomislav Hrkać (predsjednik povjerenstva)
Committee memberDarijan Marčetić (član povjerenstva)
Committee memberMarin Oršić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu obrađena je procjena dubine scene tehnikama dubokog učenja. Korištene su konvolucijske mreže U-net mrežne arhitekture. Kao rezultat dobiva se mapa dispariteta lijeve ulazne slike. Prikazani su rezultati na validacijskom skupu mreže.
Abstract (english)
This paper shows estimation of scene depth using deep learning. Convolutional neural networks were used with U-net architecture. Left picture disparity map is shown as a result. Shown results are tested on validation set of network.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:849900
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 on2019-03-13 21:34:50