prikaz prve stranice dokumenta Prepoznavanje lica iz niza slika
No public access
scientific master's theses
Prepoznavanje lica iz niza slika
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2000. urn:nbn:hr:168:918196
Lipošćak, Zdravko
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electronic Systems and Information Processing

Cite this document

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

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

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

Lipošćak, Z. (2000). 'Prepoznavanje lica iz niza slika', Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 18 June 2021, https://urn.nsk.hr/urn:nbn:hr:168:918196

Lipošćak Z. Prepoznavanje lica iz niza slika [Scientific master's theses]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2000 [cited 2021 June 18] Available at: https://urn.nsk.hr/urn:nbn:hr:168:918196

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

Islandora Bookmark - Please login to use this feature
Metadata
TitlePrepoznavanje lica iz niza slika
AuthorZdravko Lipošćak
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Electronic Systems and Information Processing)
Zagreb
Defense date and country2000, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Electronics
Universal decimal classification
(UDC)		621.3 - 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)
Languagecroatian
URN:NBNurn:nbn:hr:168:918196
Study programmeTitle: Postgraduate master programme in electrical engineering
Study programme type: university
Study level: postgraduate
Academic / professional title: Magistar znanosti elektrotehnike (Magistar znanosti elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
RepositoryFER Repository
Created on2019-04-18 09:13:52

(©) Nacionalna i sveučilišna knjižnica u Zagrebu 2015. Sva prava pridržana. | Hrvatske bratske zajednice 4 p.p. 550, 10000 Zagreb, Hrvatska Tel. ++ 385 1 616-4040
OIB: 84838770814 | IBAN: HR66 2340 0091 1000 1008 1, Porezni broj (PDV identifikacijski broj) - VAT Number: HR84838770814
Prijava u repozitorij