bachelor's thesis
Abstract
Identifying human facial expressions (FER or Face expression Recognition)
is a complex and very important challenge in the spectre of social communication that researches and scientists have been tackling over the last few
decades. One of the most obvious and simple ways for humans to express
their feelings without speaking to each other are facial expressions. Facial
expressions are crucial components for non-verbal communication between
people. In contrast with the most FER systems found in research papers
that only identify a small number of facial expressions, my thesis provides
an automatic system for emotion detection on images that is capable of recognizing eight basic human expressions - neutral, angry, happy, sad, fear,
disgust and contempt. I also describe and explain other FER approaches in
this thesis as well as their contributions. We compare systems by a simple
measure - number of correctly detected expressions on images.
Keywords
machine learning;computer vision;face recognition;computer science;diploma;
Data
Language: |
English |
Year of publishing: |
2022 |
Typology: |
2.11 - Undergraduate Thesis |
Organization: |
UL FRI - Faculty of Computer and Information Science |
Publisher: |
[P. Djindjic] |
UDC: |
004.93(043.2) |
COBISS: |
121627907
|
Views: |
13 |
Downloads: |
6 |
Average score: |
0 (0 votes) |
Metadata: |
|
Other data
Secondary language: |
Slovenian |
Secondary title: |
Prepoznavanje čustev ljudi iz slik s strojnim učenjem |
Secondary abstract: |
Prepoznavanje čustev ljudi je zapleten in zelo pomemben izziv v spektru
družbenega komuniciranja, s katerim se raziskovalci in znanstveniki ukvarjajo
zadnjih nekaj desetletij. Eden izmed najbolj očitnih in preprostih načinov,
da ljudje izrazijo svoja čustva brez pogovarjanja drug z drugim, so sami
izrazi obraza (čustev). Obrazna mimika je ključna sestavina neverbalne komunikacije med ljudmi. V nasprotju z večino sistemov FER, ki jih najdemo
v raziskovalnih člankih, ki identificirajo le majhno število obraznih izrazov,
moj diplomski seminar zagotavlja samodejni sistem za zaznavanje čustev na
slikah ki je sposoben prepoznati osem osnovnih človeških izrazov - nevtralen,
jezen, vesel, žalosten, strah, gnus in prezir. V diplomskem delu opisujem in
razlagam tudi druge pristope FER ter njihove prispevke. Sisteme primerjamo s preprostim merilom - številom pravilno zaznanih izrazov na slikah. |
Secondary keywords: |
prepoznavanje obraza;prepoznavanje čustev;visokošolski strokovni študij;diplomske naloge;Samodejno prepoznavanje čustev;Računalniški vid;Strojno učenje;Računalništvo;Univerzitetna in visokošolska dela; |
Type (COBISS): |
Bachelor thesis/paper |
Study programme: |
1000470 |
Embargo end date (OpenAIRE): |
1970-01-01 |
Thesis comment: |
Univ. v Ljubljani, Fak. za računalništvo in informatiko |
Pages: |
49 str. |
ID: |
16448522 |