Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
|
|
SLO
|
ENG
|
Cookies and privacy
DKUM
EPF - Faculty of Business and Economics
FE - Faculty of Energy Technology
FERI - Faculty of Electrical Engineering and Computer Science
FF - Faculty of Arts
FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
FKBV - Faculty of Agriculture and Life Sciences
FKKT - Faculty of Chemistry and Chemical Engineering
FL - Faculty of Logistic
FNM - Faculty of Natural Sciences and Mathematics
FOV - Faculty of Organizational Sciences in Kranj
FS - Faculty of Mechanical Engineering
FT - Faculty of Tourism
FVV - Faculty of Criminal Justice and Security
FZV - Faculty of Health Sciences
MF - Faculty of Medicine
PEF - Faculty of Education
PF - Faculty of Law
UKM - University of Maribor Library
UM - University of Maribor
UZUM - University of Maribor Press
COBISS
Faculty of Business and Economic, Maribor
Faculty of Agriculture and Life Sciences, Maribor
Faculty of Logistics, Celje, Krško
Faculty of Organizational Sciences, Kranj
Faculty of Criminal Justice and Security, Ljubljana
Faculty of Health Sciences
Library of Technical Faculties, Maribor
Faculty of Medicine, Maribor
Miklošič Library FPNM, Maribor
Faculty of Law, Maribor
University of Maribor Library
Bigger font
|
Smaller font
Introduction
Search
Browsing
Upload document
For students
For employees
Statistics
Login
First page
>
Show document
Show document
Title:
AVTOMATSKO PREPOZNAVANJE UST IZ DIGITALNIH POSNETKOV
Authors:
ID
Leber, Žiga
(Author)
ID
Potočnik, Božidar
(Mentor)
More about this mentor...
Files:
UN_Leber_Ziga_2015.pdf
(2,52 MB)
MD5: 814AA69349A913A98C53CBFD41546EC4
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
Diplomsko delo se osredotoča na avtomatsko prepoznavanje ust iz digitalnih posnetkov. Pogledali smo obstoječe metode in na podlagi detektorja Viola-Jones ter aktivnih modelov oblike razvili lasten algoritem. Implementiran je bil v jeziku C++ s pomočjo knjižnice OpenCV. Delovanje je bilo preverjeno na ročno označenih slikah. Rezultati so pokazali, da algoritem v nadzorovanem okolju daje spodbudne rezultate. Dobro delovanje smo opazil, ko je oblika ust dovolj splošna in ima oster rob. Slabši rezultati so bili, ko so usta v kotih zelo tanka. Sklepamo lahko, da bi algoritem lahko bil uporabljen v praktični aplikaciji.
Keywords:
računalniški vid
,
prepoznavanje ust
,
aktivni modeli oblike
Place of publishing:
[Maribor
Publisher:
Ž. Leber
Year of publishing:
2015
PID:
20.500.12556/DKUM-54322
UDC:
004.93'1(043.2)
COBISS.SI-ID:
19153430
NUK URN:
URN:SI:UM:DK:IH4HDNDL
Publication date in DKUM:
23.10.2015
Views:
1672
Downloads:
112
Metadata:
Categories:
KTFMB - FERI
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
LEBER, Žiga, 2015,
AVTOMATSKO PREPOZNAVANJE UST IZ DIGITALNIH POSNETKOV
[online]. Bachelor’s thesis. Maribor : Ž. Leber. [Accessed 26 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=54322
Copy citation
Average score:
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
(0 votes)
Your score:
Voting is allowed only for
logged in
users.
Share:
Similar works from our repository:
High temperature resistant fly-ash and metakaolin-based alkali-activated foams
Evaluation of locally available amorphous waste materials as a source for alternative alkali activators
Microwave irradiation of alkali - activated metakaolin slurry
Characterization of fly ash alkali activated foams obtained using sodium perborate monohydrate as a foaming agent at room and elevated temperatures
Particle size manipulation as an influential parameter in the development of mechanical properties in electric arc furnace slag-based AAM
Similar works from other repositories:
No similar works found
Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.
Secondary language
Language:
English
Title:
AUTOMATIC MOUTH DETECTION IN DIGITAL IMAGES
Abstract:
This thesis is focused on automatic mouth detection in digital images. Existing methods were reviewed and a new algorithm was devised based on the Viola-Jones detector and active shape models. It was implemented with the help of the OpenCV library in the C++ programming language. Performance was tested on manually annotated images. Results have shown that the algorithm gives encouraging results in a controlled environment. Good accuracy has been observed with general mouth shapes with sharp borders. Conversely, images of faces with thin lips at the corners have produced lesser results. It can be concluded that the algorithm has potential to be used in an practical application.
Keywords:
computer vision
,
mouth detection
,
active shape models
Comments
Leave comment
You must
log in
to leave a comment.
Comments (0)
0 - 0 / 0
There are no comments!
Back
