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undergraduate thesis
Automatsko raspoznavanje osmjeha iz slike lica
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. urn:nbn:hr:168:487920
Jaić, Dario
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Jaić, D. (2016). Automatsko raspoznavanje osmjeha iz slike lica (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:487920

Jaić, Dario. "Automatsko raspoznavanje osmjeha iz slike lica." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:487920

Jaić, Dario. "Automatsko raspoznavanje osmjeha iz slike lica." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:487920

Jaić, D. (2016). 'Automatsko raspoznavanje osmjeha iz slike lica', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:487920

Jaić D. Automatsko raspoznavanje osmjeha iz slike lica [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2016 [cited 2024 June 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:487920

D. Jaić, "Automatsko raspoznavanje osmjeha iz slike lica", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:168:487920

Metadata
TitleAutomatsko raspoznavanje osmjeha iz slike lica
Title (english)Automatic smile recognition from facial image
AuthorDario Jaić
MentorIgor Sunday Pandžić (mentor)
Committee memberIgor Sunday Pandžić (predsjednik povjerenstva)
Committee memberMiroslav Frljak (član povjerenstva)
Committee memberNenad Markuš (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2016-09-06, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Korištena su dva algoritma za raspoznavanje osmjeha iz slike lica. Jednostavniji algoritam računa ako je udaljenost manja od zadanog parametra, onda se osoba ne smije, a ako je veća osoba se smije. Metoda se temelji na činjenici da, kada se osoba smije, usta se šire i ekstremne točke ustiju se približavaju očima. Složeni algoritam radi po principu određivanja tzv. Patcheva na licu, dobavljanja odgovarajućih podataka Local Binary Pattern (LBN), računanja histograma (59-bin), te sastavljanja feature vectora za tu sliku. Nakon toga se trenira tzv. Support Vector Machine pomoću kojega računalo "nauči" razlikovati feature vektore slika s osmijehom i slika bez osmijeha.
Abstract (english)
Two algorithms were used for smile recognition from the facial image. A simpler algorithm account if the distance is less than a given parameter, then the person is not smiling, and if it is higher person is smiling. The method is based on the fact that, when a person laughs, mouth spread and extreme points of mouth are approaching eyes. A complex algorithm works on the principle of determining the so-called. Patches on the face, they supply the appropriate data Local Binary Pattern (LBN), computing a histogram (59-bin), and making Feature Vector for the image. Then the Support Vector Machine is being trained with which the computer "learn" to distinguish between feature vectors picture with a smile and without smile.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:487920
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 on2019-03-19 14:28:56