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undergraduate thesis
Prepoznavanje detalja kože pri skeniranja lica
2020. urn:nbn:hr:168:008047
Franjić, Dorotea
University of Zagreb
Faculty of Electrical Engineering and Computing

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Franjić, D. (2020). Prepoznavanje detalja kože pri skeniranja lica (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:008047

Franjić, Dorotea. "Prepoznavanje detalja kože pri skeniranja lica." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:008047

Franjić, Dorotea. "Prepoznavanje detalja kože pri skeniranja lica." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:008047

Franjić, D. (2020). 'Prepoznavanje detalja kože pri skeniranja lica', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:008047

Franjić D. Prepoznavanje detalja kože pri skeniranja lica [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 April 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:008047

D. Franjić, "Prepoznavanje detalja kože pri skeniranja lica", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:008047

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Metadata
TitlePrepoznavanje detalja kože pri skeniranja lica
Title (english)Skin Detail Recognition in Face Scanning
AuthorDorotea Franjić
MentorMarina Bagić Babac (mentor)
Committee memberMarina Bagić Babac (predsjednik povjerenstva)
Committee memberMirjana Domazet-Lošo (član povjerenstva)
Committee memberIvica Botički (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj završni rad temelji se na mobilnoj aplikaciji koja korisniku omogućava kontinuirano praćenje stanja kože pri upotrebi kozmetičkih proizvoda. U fokusu rada je nadogradnja ove aplikacije s funkcionalnošću za praćenje poboljšanja stanja kože na temelju skeniranja lica. Nakon što korisnici odaberu sve potrebne parametre za svoj tip kože, nudi im se mogućnost skeniranja lica. Aplikacija omogućuje prijenos tih slika lica kako bi se identificirala problematična područja kože pomoću algoritma strojnog učenja koji radi na temelju baze podataka o objektima kože.
Abstract (english)
This thesis draws on a mobile application that relies mostly on the use of skin cosmetics, which allows a user to continuously monitor the results when using skin cosmetic products. The focus of this thesis is on upgrading this application with the functionality to monitor skin improvements based on face scanning. Once the users have selected all the necessary parameters for their skin type, they are offered the opportunity to scan their face. The application will allow for uploading these face images in order to identify problematic skin areas by using a machine learning algorithm that works upon a database of skin object images.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:008047
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 08:46:52