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master's thesis
Metoda polunadziranog učenja za procjenu više osvjetljenja u sceni
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:392784
Salković, Matej
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Salković, M. (2022). Metoda polunadziranog učenja za procjenu više osvjetljenja u sceni (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:392784

Salković, Matej. "Metoda polunadziranog učenja za procjenu više osvjetljenja u sceni." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:392784

Salković, Matej. "Metoda polunadziranog učenja za procjenu više osvjetljenja u sceni." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:392784

Salković, M. (2022). 'Metoda polunadziranog učenja za procjenu više osvjetljenja u sceni', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:392784

Salković M. Metoda polunadziranog učenja za procjenu više osvjetljenja u sceni [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:392784

M. Salković, "Metoda polunadziranog učenja za procjenu više osvjetljenja u sceni", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:392784

Metadata
TitleMetoda polunadziranog učenja za procjenu više osvjetljenja u sceni
Title (english)Semi-supervised Learning Method for Estimation of Multiple Scene Illuminants
AuthorMatej Salković
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberMarko Subašić (član povjerenstva)
Committee memberTomislav Petković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Automatska procjena boje osvjetljenja scene je složen računalni problem. Važna je jer mnoge metode za klasifikaciju i segmentaciju jako ovise o bojama u slici. Problem dodatno otežavaju situacije u kojima u sceni postoji više od jedne boje osvjetljenja. Ovaj diplomski rad bavi se metodom polunadziranog učenja za procjenu dvije boje osvjetljenja, tj. boju osvjetljenja u osvijetljenom dijelu scene te boju osvjetljenja u sjeni. Implementirano je i testirano pet međusobno različitih arhitektura koje se baziraju na kombinaciji dviju metoda za procjenu jedne boje osvjetljenja. Prva metoda koristi nadzirano učenje, dok druga metoda koristi nenadzirano učenje. Stoga se metoda za procjenu dva osvjetljenja smatra metodom polunadziranog učenja.
Abstract (english)
Automatic illumination color estimation of a scene is a complex computational problem. It is important because many methods for classification and segmentation heavily depend on the colors in the image. The problem is further aggravated by situations in which there is more than one illumination color in the scene. This master thesis deals with the method of semi-supervised learning for the estimation of two illumination colors, i.e., the illumination color in the illuminated part of the scene and the illumination color in the shadow. Five mutually different architectures based on a combination of two methods for estimating a single lighting color were implemented and tested. The first method uses supervised learning, while the second method uses unsupervised learning. Therefore, the method for estimating two illuminations is considered to be a semi-supervised learning method.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:392784
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-01-14 09:53:21