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undergraduate thesis
Automatsko raspoznavanje emocija iz slike lica
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. urn:nbn:hr:168:330056
Mrkalj, Antonela
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Mrkalj, A. (2014). Automatsko raspoznavanje emocija iz slike lica (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:330056

Mrkalj, Antonela. "Automatsko raspoznavanje emocija iz slike lica." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:330056

Mrkalj, Antonela. "Automatsko raspoznavanje emocija iz slike lica." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:330056

Mrkalj, A. (2014). 'Automatsko raspoznavanje emocija iz slike lica', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 03 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:330056

Mrkalj A. Automatsko raspoznavanje emocija iz slike lica [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2014 [cited 2024 July 03] Available at: https://urn.nsk.hr/urn:nbn:hr:168:330056

A. Mrkalj, "Automatsko raspoznavanje emocija iz slike lica", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:168:330056

Metadata
TitleAutomatsko raspoznavanje emocija iz slike lica
Title (english)Automatic emotion recognition from facial image
AuthorAntonela Mrkalj
MentorIgor Sunday Pandžić (mentor)
Committee memberIgor Sunday Pandžić (predsjednik povjerenstva)
Committee memberAleksandra Čereković (član povjerenstva)
Committee memberNenad Markuš (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2014-09-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U sklopu završnog rada provodi se eksperimentalno testiranje postojećeg programa za strojno učenje u vidu automatskog prepoznavanja emocija. Prilikom testiranja potrebno je pronaći bazu sa što više slika koje bi odgovarale traženoj temi te ih iskoristiti za učenje. Na temelju dobivenog klasifikatora ostvaruje se testiranje naučenog. Rezultat testiranja je procijenjena emocija, koja može biti točna ili pogrešna. Poboljšavanje točnosti ostvaruje se sa većom bazom, koja u ovim trenucima nije moguća.
Abstract (english)
As a part of this thesis, experimental testing of existing software for machine learning was implemented in terms of automatic emotion recognition. During period of testing, it was necessary to find a database with enough pictures which will be right for requested topic and use them for learning. Testing of what is learned is based on required clasificator. Result of testing is estimated emotion, which can be right or wrong. Accomplishing improvements of estimation is possible with bigger database, which, in this time, is not available.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:330056
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 on2018-02-05 17:46:18