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undergraduate thesis
Prepoznavanje lica korištenjem računala Raspberry Pi i biblioteke Open CV
2019. urn:nbn:hr:166:329520
Bajić, Ana
University of Split
Faculty of Science
Department of Informatics

Cite this document

Bajić, A. (2019). Prepoznavanje lica korištenjem računala Raspberry Pi i biblioteke Open CV (Undergraduate thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:329520

Bajić, Ana. "Prepoznavanje lica korištenjem računala Raspberry Pi i biblioteke Open CV." Undergraduate thesis, University of Split, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:166:329520

Bajić, Ana. "Prepoznavanje lica korištenjem računala Raspberry Pi i biblioteke Open CV." Undergraduate thesis, University of Split, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:166:329520

Bajić, A. (2019). 'Prepoznavanje lica korištenjem računala Raspberry Pi i biblioteke Open CV', Undergraduate thesis, University of Split, Faculty of Science, accessed 16 April 2024, https://urn.nsk.hr/urn:nbn:hr:166:329520

Bajić A. Prepoznavanje lica korištenjem računala Raspberry Pi i biblioteke Open CV [Undergraduate thesis]. Split: University of Split, Faculty of Science; 2019 [cited 2024 April 16] Available at: https://urn.nsk.hr/urn:nbn:hr:166:329520

A. Bajić, "Prepoznavanje lica korištenjem računala Raspberry Pi i biblioteke Open CV", Undergraduate thesis, University of Split, Faculty of Science, Split, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:166:329520

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Metadata
TitlePrepoznavanje lica korištenjem računala Raspberry Pi i biblioteke Open CV
Title (english)Face recognition using Raspberry Pi and Open CV
AuthorAna Bajić
MentorNikola Marangunić (mentor)
MentorJelena Nakić (pomoć pri izradi, neposredni voditelj)
Committee memberNikola Marangunić (predsjednik povjerenstva)
Committee memberJelena Nakić (član povjerenstva)
Committee memberMarin Aglić Čuvić (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Informatics)
Split
Defense date and country2019-09-27, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Prepoznavanje lica vrlo je važno područje u prepoznavanju objekata s posebnom primjenom u sigurnosnim sustavima. Od početaka razvoja algoritama za prepoznavanje lica 60-ih godina 20. stoljeća, pa sve do danas, pojavilo se mnogo metoda koje se koriste za svrstavanje željene fotografije u klasu fotografija koje pripadaju pojedincu. U ovom radu je opisan općeniti pristup prepoznavanju lica, kao i primjena algoritama za prepoznavanje lica; ukratko su opisana djelovanja i povijest OpenCV biblioteka i mikroračunala Raspberry Pi. Napravljena je aplikacija za prepoznavanje lica korištenjem računala Raspberry Pi i biblioteke OpenCV.
Abstract (english)
Face recognition is a very important area in identifying objects with special applications in security systems. From the beginnings of the development of facial recognition algorithms in the 1960s to the present day, many methods have emerged that are used to classify a desired photo into a class of photographs that belong to an individual. This paper describes a general approach to face recognition as well as the application of face recognition algorithms; the activities and history of the OpenCV libraries and Raspberry Pi microcomputers are briefly described. A face recognition application has been created using computer Raspberry Pi and the OpenCV library.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:329520
Study programmeTitle: Mathematics and Computer Science
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) matematike i informatike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) matematike i informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2019-12-18 13:21:18