Prepoznavanje lica iz niza slika

Lipošćak, Zdravko

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scientific master's theses

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Prepoznavanje lica iz niza slika

Zdravko Lipošćak (2000)

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electronic Systems and Information Processing

Cite this document...

APA 6th Edition

Lipošćak, Z. (2000). Prepoznavanje lica iz niza slika (Scientific master's theses). Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:918196

MLA 8th Edition

Lipošćak, Zdravko. "Prepoznavanje lica iz niza slika." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2000. https://urn.nsk.hr/urn:nbn:hr:168:918196

Chicago 17th Edition

Lipošćak, Zdravko. "Prepoznavanje lica iz niza slika." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2000. https://urn.nsk.hr/urn:nbn:hr:168:918196

Harvard

Lipošćak, Z. (2000). 'Prepoznavanje lica iz niza slika', Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 June 2019, https://urn.nsk.hr/urn:nbn:hr:168:918196

Vancouver

Lipošćak Z. Prepoznavanje lica iz niza slika [Scientific master's theses]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2000 [cited 2019 June 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:918196

IEEE

Z. Lipošćak, "Prepoznavanje lica iz niza slika", Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2000. Available at: https://urn.nsk.hr/urn:nbn:hr:168:918196

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:918196

Metadata

Title	Prepoznavanje lica iz niza slika
Author	Zdravko Lipošćak
Mentor	Sven Lončarić (mentor)
Committee member	Sven Lončarić (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing (Department of Electronic Systems and Information Processing) Zagreb
Defense date and country	2000, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Electrical Engineering Electronics
Universal decimal classification (UDC)	621.3 APPLIED SCIENCES. MEDICINE. TECHNOLOGY Electrical engineering
Abstract	U ovom radu predstavljena je metoda za automatsko segmentiranje i prepoznavanje lica iz niza slika u boji. Metoda se sastoji od četiri glavna koraka: detekcija područja boje kože lica i detekcija promjena unutar tih područja uzrokovanih kretnjama lica. U slijedeća dva koraka koristi se Karhunen-Loeve (KL) transformacija, a zatim i Fisher Linear Discriminant (FLD) metoda za predviđanje i verificiranje rezultata segmentacije lica i transformiranje slike lica u svojstveni vektor. Provedena je eksperimentalna validacija predložene metode, a dobiveni rezultati su prezentirani i diskutirani. Na kraju rada dan je stupanj prepoznavanja metode i navedeni su zaključci rada.
Abstract (english)	This paper presents a segmentation and recognition scheme for automatically detecting and recognition human face in colour image sequence. The system relies on a process with four steps which first detects regions which are likely to contain human skin in the colour image and then detects differences in this regions produced by motion in the video sequence. In next two steps Karhunen-Loeve (KL) projection and Fisher Linear Discriminant (FLD) technique are used to predict and verified segmentation result and to transform face image in feature vector. Experimental results are presented and discussed. Finally, recognition rate and conclusions are given.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:168:918196
Study programme	Title: Elektrotehnika Study programme type: sveučilišni Study level: poslijediplomski znanstveni (magistarski) Academic / professional title: Magistar znanosti elektrotehnike (Magistar znanosti elektrotehnike)
Type of resource	text
File origin	Born digital
Access conditions	Closed access
Terms of use
Repository	FER Repository
Created on	2019-04-18 09:13:52