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undergraduate thesis
Automatsko raspoznavanje oblika lica
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:046674
Raguž, Jakov
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Raguž, J. (2020). 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:168:046674

Raguž, Jakov. "Automatsko raspoznavanje oblika lica." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:046674

Raguž, Jakov. "Automatsko raspoznavanje oblika lica." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:046674

Raguž, J. (2020). 'Automatsko raspoznavanje oblika lica', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 05 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:046674

Raguž J. Automatsko raspoznavanje oblika lica [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 July 05] Available at: https://urn.nsk.hr/urn:nbn:hr:168:046674

J. Raguž, "Automatsko raspoznavanje oblika lica", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:046674

Metadata
TitleAutomatsko raspoznavanje oblika lica
Title (english)Automatic Face Shape Recognition
AuthorJakov Raguž
MentorIgor Sunday Pandžić (mentor)
Committee memberIgor Sunday Pandžić (predsjednik povjerenstva)
Committee memberDemijan Grgić (član povjerenstva)
Committee memberIvana Slošić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-15, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Automatsko raspoznavanje oblika lica iz slike u ovome radu temeljeno je na tri koraka: detekcija lica i njegovih karakterističnih točaka, segmentacija lica iz slike te u konačnici detekcija oblika iz prethodno pripremljenih predložaka. Za detekciju lica korištene su javno dostupne biblioteke Dlib i OpenCV. Segmentacija lica iz zadane slike provedena je u dva dijela: preko karakterističnih točaka lica te uspoređujući BGR vrijednosti boje lica. Klasifikacija oblika temeljila se na preklapanju segmentirane slike s predlošcima te računanje broja preklopljenih piksela. Na temelju toga lice se svrstava u jedan od četiri osnovna oblika: srcoliki, ovalni, okrugli ili četvrtasti. Raspravljeni su glavni problemi prilikom implementacije kao i moguća poboljšanja.
Abstract (english)
Automatic face shape recognition from the image in discussed in this paper is based on three steps: detection of the face and its characteristic points, segmentation of the face from the image and finally detection of the shape from the previously prepared templates. Publicly available Dlib and OpenCV libraries were used for face detection. Facial segmentation from a given image was performed in two parts: over characteristic facial points and comparing BGR values of facial color. The classification of shapes was based on overlapping a segmented image with templates and calculating the number of overlapping pixels. Based on this, the face is classified into one of four basic shapes: heart, oval, round, or square. The main problems during implementation as well as possible improvements were also discussed.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:046674
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 09:48:14