prikaz prve stranice dokumenta Automatsko raspoznavanje oblika lica
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undergraduate thesis
Automatsko raspoznavanje oblika lica
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. urn:nbn:hr:168:331615
Kušan, Margareta
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Kušan, M. (2014). Automatsko raspoznavanje oblika lica (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:331615

Kušan, Margareta. "Automatsko raspoznavanje oblika lica." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:331615

Kušan, Margareta. "Automatsko raspoznavanje oblika lica." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:331615

Kušan, M. (2014). 'Automatsko raspoznavanje oblika lica', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:331615

Kušan M. Automatsko raspoznavanje oblika lica [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2014 [cited 2024 July 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:331615

M. Kušan, "Automatsko raspoznavanje oblika lica", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:168:331615

Metadata
TitleAutomatsko raspoznavanje oblika lica
Title (english)Automatic face shape recognition
AuthorMargareta Kušan
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 country2014-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Automatsko raspoznavanje oblika lica iz slike u ovom radu temelji se na tri koraka: detekcija značajki lica, segmentacija lica iz slike i detekcija oblika lica pomoću predložaka i funkcije preklapanja. Za detekciju značajki lica korišten je FaceDetector iz Visage|SDK razvojnog okruženja. Segmentacija lica izvedena je klasifikacijom piksela na temelju svojstava boja RGB modela. Detekcija oblika lica izvedena je računajući preklapanja predloška i segmentirane slike u funkciji preklapanja. Za klasifikaciju oblika lica korištena su 4 osnovna oblika: ovalno, četvrtasto, okruglo i srcoliko. Opisani su problemi i ograničenja ove implementacije i ovakvog pristupa, te su predložena poboljšanja detekcije oblika lica.
Abstract (english)
Implementation of automatic face recognition from still image described in this paper is based on three steps: facial features detection, face segmentation and face shape detection. Facial features are detected using Visage|SDK FaceDetect package developed by Visage Technologies. Face segmentation uses color pixel classification. Face shape recognition is implemented using template matching method based on 4 basic face shapes: oval, square, round and heart. Problems and limitations within used approach are analysed and described in this paper alongside with the results. Possible improvements are given and briefly described.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:331615
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 17:39:51