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undergraduate thesis
Implementacija algoritama računalnog vida za mobilne platforme
2019. urn:nbn:hr:168:802748
Ludvig, Lovro
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Ludvig, L. (2019). Implementacija algoritama računalnog vida za mobilne platforme (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:802748

Ludvig, Lovro. "Implementacija algoritama računalnog vida za mobilne platforme." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:802748

Ludvig, Lovro. "Implementacija algoritama računalnog vida za mobilne platforme." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:802748

Ludvig, L. (2019). 'Implementacija algoritama računalnog vida za mobilne platforme', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 20 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:802748

Ludvig L. Implementacija algoritama računalnog vida za mobilne platforme [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 April 20] Available at: https://urn.nsk.hr/urn:nbn:hr:168:802748

L. Ludvig, "Implementacija algoritama računalnog vida za mobilne platforme", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:802748

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Metadata
TitleImplementacija algoritama računalnog vida za mobilne platforme
Title (english)Implementation of Computer Vision Algorithms for Mobile Platforms
AuthorLovro Ludvig
MentorZoran Kalafatić (mentor)
Committee memberZoran Kalafatić (predsjednik povjerenstva)
Committee memberJosip Šarić (član povjerenstva)
Committee memberIvan Grubišić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu demonstriran je jedan od procesa strojnog učenja za detekciju lica. Za implementaciju je odabran kaskadni klasifikator zbog mogućnosti detekcije lica u stvarnom vremenu i bez velike procesorske moći. Detaljno je objašnjen algoritam kojim kaskadni klasifikator donosi odluku o detekciji. Opisan je princip implementacije OpenCV-a za Android mobilne uređaje. U konačnici, prikazani su rezultati na Android mobilnom uređaju, u ovisnosti o parametrima koji definiraju koliko će detekcija biti precizna.
Abstract (english)
This paper demonstrates one of the machine learning processes for face recognition. The final detection result is displayed on an Android mobile device. Cascade classifier is selected for the implementation due to the possibility of real-time detection and no requirements for huge processor power. Cascade classifier decision-making algorithm is explained in detail. Described principles for implementing OpenCV for Android Mobile Devices. Finally, different results are shown on an Android mobile device, depending on the parameters that determine how accurate detection will be.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:802748
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 on2020-01-07 19:49:41