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undergraduate thesis
Pronalaženje grafičkih oblika
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:530451
Kurilovčan, Stjepan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Kurilovčan, S. (2017). Pronalaženje grafičkih oblika (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:530451

Kurilovčan, Stjepan. "Pronalaženje grafičkih oblika." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:530451

Kurilovčan, Stjepan. "Pronalaženje grafičkih oblika." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:530451

Kurilovčan, S. (2017). 'Pronalaženje grafičkih oblika', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:530451

Kurilovčan S. Pronalaženje grafičkih oblika [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 June 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:530451

S. Kurilovčan, "Pronalaženje grafičkih oblika", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:530451

Metadata
TitlePronalaženje grafičkih oblika
Title (english)Locating of graphical forms
AuthorStjepan Kurilovčan
MentorDragan Jevtić (mentor)
Committee memberDragan Jevtić (predsjednik povjerenstva)
Committee memberAleksandar Antonić (član povjerenstva)
Committee memberDarko Štriga (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U ovom je radu opisan postupak detektiranja objekata pomoću raznih metoda a navedene su i smetnje koje otežavaju samu detekciju . Tu je konkretno obrađena detekcijom lica i očiju. U tu svrhu je korištena Viola-Jones metoda za detekciju objekata. Pri implementaciji ove metode korištene su kaskade klasifikatora dobivene ojačavanjem slabih klasifikatora. Ti su klasifikatori direktno dobiveni iz Haar-ovih značajki. Implementacija programa je rađenja u programskom jeziku Python verzije 2.7.13 uz korištenje NumPy i OpenCV biblioteka.
Abstract (english)
In this paper, a concept of detecting objects using various methods was described and some issues that make detection harder were named. Specifically, face and eyes detection was described. Viola-Jones method was used for objects detection. Further, implementing this method, classifier cascades were used that were obtained by strengthening weak classifiers. These classifiers were directly obtained from Haar features. Program implementing was done in programming language Python, version 2.7.13, with the use of NumPy and OpenCV libraries.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:530451
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 on2019-03-13 22:08:32