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master's thesis
Metode antropometrijskih mjerenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:181437
Vrpoljac, Martin
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Vrpoljac, M. (2021). Metode antropometrijskih mjerenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:181437

Vrpoljac, Martin. "Metode antropometrijskih mjerenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:181437

Vrpoljac, Martin. "Metode antropometrijskih mjerenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:181437

Vrpoljac, M. (2021). 'Metode antropometrijskih mjerenja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 01 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:181437

Vrpoljac M. Metode antropometrijskih mjerenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 June 01] Available at: https://urn.nsk.hr/urn:nbn:hr:168:181437

M. Vrpoljac, "Metode antropometrijskih mjerenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:181437

Metadata
TitleMetode antropometrijskih mjerenja
Title (english)Methods of Anthropometric Measurements
AuthorMartin Vrpoljac
MentorTomislav Pribanić (mentor)
Committee memberTomislav Pribanić (član povjerenstva)
Committee memberMarko Subašić (član povjerenstva)
Committee memberTomislav Petković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-02-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovome radu opisali smo metode pronalaska antropometrijskih mjera pomoću sustava baziranih na računalnom vidu i dubokom učenju. Rezultati tih sustava moguće je primijeniti na različitim područjima, kao što su odjevna industrija, medicina i u proizvodnji anatomskog namještaja (kao što su uredske stolice i stolovi). Sustavi se automatiziraju kako bi se ubrzala i olakšala mjerenja, jer za sami proces ručnog mjerenja mjeritelj mora biti osposobljen locirati antropometrijske lokacije. Implementirani sustav omogućava pronalazak antropometrijskih mjera promatrane osobe iz njene fotografije, te se znatno ubrzava i olakšava način pronalaska istih, što je kasnije moguće implementirati u daljnje sustave.
Abstract (english)
In this work, we describe methods for finding anthropometric measurements using systems based on computer vision and deep learning. The results of those systems can be applied in various fields, such as clothing industry, medicine and in production of anatomical furniture (such as office chairs and desks). The systems are automated to speed up and facilitate anthropometric measurements, because for getting manual measurements, measurer must have knowledge to be able to locate anthropometric locations correctly, which takes time and experience. The implemented system enables easier discovery of anthropometric measures of observed person from her photograph, and significantly speeds up process of finding them, which can later be implemented in larger systems.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:181437
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
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Created on2023-01-13 10:52:39