Facial expression recognition by deep learning
Facial expressions have been proven to be a key element in social interaction. With the increasing popularity of artificial intelligence, facial expression systems using various methods have been designed and studied. Traditional machine learning methods such as support vector machines are widely us...
Main Author: | Ding, Hong Wei |
---|---|
Other Authors: | Jiang Xudong |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/141030 |
Similar Items
-
Investigating the use of SIFT for facial expression recognition
by: Zhong, Nan.
Published: (2013) -
Local gradient increasing pattern for facial expression recognition
by: Zhou, Lubing, et al.
Published: (2013) -
Dynamic facial expression for emotion recognition
by: Peh, Raymond Jin Rui
Published: (2014) -
Facial recognition using PCA
by: Ngoh, Bernie Zhen Yuan
Published: (2020) -
Facial recognition I
by: Ting, Shou Xuan.
Published: (2013)