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master's thesis
Usporedba metoda procjene dubine pri praćenju lica
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:807293
Bunić, Luka
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Bunić, L. (2022). Usporedba metoda procjene dubine pri praćenju lica (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:807293

Bunić, Luka. "Usporedba metoda procjene dubine pri praćenju lica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:807293

Bunić, Luka. "Usporedba metoda procjene dubine pri praćenju lica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:807293

Bunić, L. (2022). 'Usporedba metoda procjene dubine pri praćenju lica', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 24 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:807293

Bunić L. Usporedba metoda procjene dubine pri praćenju lica [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 June 24] Available at: https://urn.nsk.hr/urn:nbn:hr:168:807293

L. Bunić, "Usporedba metoda procjene dubine pri praćenju lica", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:807293

Metadata
TitleUsporedba metoda procjene dubine pri praćenju lica
Title (english)Comparison of Depth Estimation Methods in Face Tracking
AuthorLuka Bunić
MentorIgor Sunday Pandžić (mentor)
Committee memberIgor Sunday Pandžić (predsjednik povjerenstva)
Committee memberMirko Sužnjević (član povjerenstva)
Committee memberKrešimir Pripužić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Procjena udaljenosti lica od kamere je problem čija rješenja imaju široku primjenu. Kako bi detektirali lice potrebno je upotrijebiti neki od brojnih algoritama za detekciju, te iskoristiti dobivene pozicije u svrhu procjene dubine. U slučaju jedne kamere rješenje se nalazi u mjerenju poznatih dimenzija lica na slici. Detekcijom više značajki, moguće je i rekonstruirati i cijelu 3D pozu lica, te tako dobiti preciznije vrijednosti dubine. Međutim, uporabom dvije kalibrirane kamere možemo dobiti dubinu bilo koje točke vidljive na obje kamere, te se udaljenost lica svodi na mjerenje otklona iste točke na licu.
Abstract (english)
Face depth estimation in camera scene is an engineering problem whose solutions have widespread use. To measure face depth, we first must detect its presence in camera scene. We accomplish this using one of many facial detection algorithms to determine its position on screen and subsequently calculate its depth. In case of one camera, solution lies in measuring dimensions of one or more facial features on screen. Detecting and measuring multiple features to reconstruct 3D facial pose, yields greater precision in depth estimation. Using two cameras it is possible to estimate depth of any point visible on two screens and face depth estimation can be resolved by measuring disparity of the selected point on face.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:807293
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-01-13 14:39:42