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undergraduate thesis
Trodimenzionalna rekonstrukcija čovjeka dubokim modelom
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:073895
Matošević, Manuel
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Matošević, M. (2021). Trodimenzionalna rekonstrukcija čovjeka dubokim modelom (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:073895

Matošević, Manuel. "Trodimenzionalna rekonstrukcija čovjeka dubokim modelom." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:073895

Matošević, Manuel. "Trodimenzionalna rekonstrukcija čovjeka dubokim modelom." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:073895

Matošević, M. (2021). 'Trodimenzionalna rekonstrukcija čovjeka dubokim modelom', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 16 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:073895

Matošević M. Trodimenzionalna rekonstrukcija čovjeka dubokim modelom [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 June 16] Available at: https://urn.nsk.hr/urn:nbn:hr:168:073895

M. Matošević, "Trodimenzionalna rekonstrukcija čovjeka dubokim modelom", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:073895

Metadata
TitleTrodimenzionalna rekonstrukcija čovjeka dubokim modelom
Title (english)3D Human Reconstruction Using Deep Learning
AuthorManuel Matošević
MentorTomislav Pribanić (mentor)
Committee memberTomislav Pribanić (predsjednik povjerenstva)
Committee memberKristijan Bartol (član povjerenstva)
Committee memberDavid Bojanić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-09-02, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Duboko učenje kao dio strojnog učenja koristi se u brojnim aspektima ljudskoga života. Automatizirani sustavi za raspoznavanje ljudskoga tijela oslanjanju se na brojne metode čiji je cilj postiči što višu stopu točnosti pri raspoznavanju, nadilazeći brojne probleme s kojima se sustavi suočavaju. Pri procesu treniranja pojavili su se raznorazni problemi koji su značajno skalirali složenost rada. U konačnici, uspješno se poveže 3D oblik tijela sa 2D slikom, ali se teži k poboljšanju modela. Napredak po tom pitanju moguće je ostvariti proširivanjem skupa podataka i poboljšavanjem modela (isprobavanje različitih vrijednosti hiperparametara, drugačijom arhitekturom mreže,...) koje je isprobano u ovom radu.
Abstract (english)
Deep learning as part of machine learning is used in many aspects of human life. Automated systems for recognizing the human body rely on a number of methods aimed at achieving the highest possible rate of recognition accuracy, overcoming a number of problems faced by the process. During the training process, various problems arose that significantly scaled the complexity of the work. Ultimately, they successfully associate the 3D body shape with the 2D image, but also model strives for improvement. Progress in this regard can be achieved by expanding the data set and improving the model (testing different values of hyperparameters, different network architecture, ...) which has been tested in this paper
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:073895
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 on2023-01-14 21:09:25