Detekcija i raspoznavanje lica u slikama

undergraduate thesis

• Title (english): Face Detection and Recognition in Images
• Author: Domagoj Jakšić
• Mentor: Zoran Kalafatić (mentor)
• Committee member: Zoran Kalafatić (predsjednik povjerenstva)
• Committee member: Josip Šarić (član povjerenstva)
• Committee member: Petra Bevandić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2019-07-12, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U prvom dijelu rada su opisane metode detekcije lica na slikama te je predstavljen implementirani sustav koji koristi umjetnu neuronsku mrežu. Opisana je arhitektura mreže te skup podataka za učenje neuronske mreže. Pružen je uvid u postupak učenja neuronske mreže te su prikazani rezultati testiranja implementiranog sustava. U drugom dijelu rada su predstavljene metode raspoznavanja lica te je opisan implementirani sustav za raspoznavanje lica na slikama. Pružen je uvid u arhitekturu sustava koji se sastoji od dvije umjetne neuronske mreže. Predstavljeni su skupovi podataka za učenje neuronskih mreža te je objašnjen način na koji ove neuronske mreže uče. Na kraju poglavlja su prikazani rezultati testiranja sustava. Mogućnosti primjene ovakvih sustava u svakodnevnom životu su predstavljene na kraju rada.

Abstract (english)

The first part of the paper describes the methods for face detection in the images and introduces an implemented system that uses an artificial neural network. The architecture of the system and the data set for the neural network training are also described in this chapter. This paper provides an insight into the training process of this neural network. The test results of the implemented system are presented. In the second part of the paper, face recognition methods are presented and an implemented system for face recognition is described. This chapter provides an insight into the system architecture consisting of two artificial neural networks. Data sets for training neural networks are presented and the way neural networks are trained is explained. Test results are shown at the end of the chapter. Finally, this paper presents possible applications of these systems in everyday life.

• Keywords: računalni vid; detekcija lica; raspoznavanje lica; neuronska mreža
• Keywords (english): computer vision; face detection; face recognition; neural network
• Language: croatian
• URN:NBN: urn:nbn:hr:168:238754
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2020-01-07 18:35:45