AVTOMATSKO PREPOZNAVANJE UST IZ DIGITALNIH POSNETKOV S POMOČJO AKTIVNIH MODELOV

Frančič, Aljaž

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Title:	AVTOMATSKO PREPOZNAVANJE UST IZ DIGITALNIH POSNETKOV S POMOČJO AKTIVNIH MODELOV
Authors:	ID Frančič, Aljaž (Author) ID Potočnik, Božidar (Mentor) More about this mentor... ID Šavc, Martin (Comentor)
Files:	UN_Francic_Aljaz_2015.pdf (2,74 MB) MD5: 03FB110DDF8ECB3DC0E51A3AB102B731
Language:	Slovenian
Work type:	Bachelor thesis/paper
Typology:	2.11 - Undergraduate Thesis
Organization:	FERI - Faculty of Electrical Engineering and Computer Science
Abstract:	V diplomskem delu so raziskane metode računalniškega vida za avtomatsko prepoznavanje ust iz digitalnih posnetkov, pri čemer so v ospredje postavljeni aktivni modeli. V uvodu so natančneje predstavljeni problem, cilji, omejitve in struktura diplomskega dela. Preučene so tri metode, ki temeljijo na aktivnih modelih: aktivni modeli kontur, aktivni modeli oblike in aktivni modeli izgleda. Poudarek je na slednjima in njuna uporaba je v delu tudi demonstrirana. Predstavljen je nov pristop za detekcijo ustnic, imenovan dvofazni aktivni model izgleda. Za aktivni model izgleda je sintetizirana lastna učna in testna množica vzorcev tako za eno-, kot tudi dvofazni model. V zaključnih poglavjih sta podani še kvalitativna in kvantitativna primerjava treh podanih algoritmov, pri čemer je kot ena izmed metrik uporabljena Hausdorffova razdalja. Najboljši rezultati na naši lastni testni množici so doseženi z dvofaznim aktivnim modelom izgleda.
Keywords:	prepoznavanje ust, aktivni modeli kontur, aktivni modeli oblike, aktivni modeli izgleda, OpenCV, računalniški vid, razpoznavanje vzorcev
Place of publishing:	Maribor
Publisher:	[A. Frančič]
Year of publishing:	2015
PID:	20.500.12556/DKUM-48527
UDC:	004.932´1(043.2)
COBISS.SI-ID:	19089174
NUK URN:	URN:SI:UM:DK:Z8HQPZFT
Publication date in DKUM:	17.07.2015
Views:	2401
Downloads:	328
Metadata:
Categories:	KTFMB - FERI
:	FRANČIČ, Aljaž, 2015, AVTOMATSKO PREPOZNAVANJE UST IZ DIGITALNIH POSNETKOV S POMOČJO AKTIVNIH MODELOV [online]. Bachelor’s thesis. Maribor : A. Frančič. [Accessed 26 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=48527 Copy citation

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Secondary language

Language:	English
Title:	AUTOMATIC MOUTH DETECTION FROM DIGITAL IMAGES BY USING ACTIVE MODELS
Abstract:	Herein, methods of computer vision for automatic mouth detection from digital images are explored, with prominence given to active models. In the introduction, details concerning the tackled problem, goals, limitations and the structure of the diploma thesis, are presented. Three methods based on active models are examined: active contour models, active shape models and active appearance models. The latter two are explored to a greater extent, including demonstration of usage. A novel approach for lip detection is unveiled, dubbed the two-phase active appearance model. Training and validation sets are synthesized for both the one- and the two-phase active appearance model. In the concluding chapters, the qualitative and quantitative comparison between the three presented algorithms is given, using the Hausdorff distance as one of the metrics. The best results using our validation set were achieved by the two-phase active appearance model.
Keywords:	mouth detection, active contour models, active shape models, active appearance models, OpenCV, computer vision, patter recognition

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