A study on facial expression recognition using Local Binary Pattern
How to get the proper combination of feature extraction and classification is still crucial in facial expression recognition, and it has been addressed conducted over two decades. Hence, if inadequate features are used, even the best classifier could fail to achieve the accurate recognition. Therefo...
Saved in:
Main Authors: | Kasim, Shahreen, Hassan, Rohayanti, Zaini, Nur Hadiana, Ahmad, Asraful Syifaa’, Ramli, Azizul Azhar, Saedudin, Rd. Rohmat |
---|---|
Format: | Article |
Published: |
Insight Society
2017
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/81229/ http://dx.doi.org/10.18517/ijaseit.7.5.3390 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Facial expressions emotional recognition with NAO robot
by: Mohamed, Ahmed Mahmoud
Published: (2018)
by: Mohamed, Ahmed Mahmoud
Published: (2018)
Facial expressions emotional recognition with nao robot
by: Mohamed, Ahmed Mahmoud
Published: (2018)
by: Mohamed, Ahmed Mahmoud
Published: (2018)
Similar Items
-
Development of a robust multi-scale featured local binary pattern for improved facial expression recognition
by: Suraiya, Y., et al.
Published: (2020) -
Live facial expression recognition
by: Tan, Wei Mun
Published: (2022) -
Comparative studies of facial emotion detection in online learning.
by: Ahmad, Asraful Syifaa', et al.
Published: (2023) -
Customer’s Spontaneous Facial Expression Recognition
by: Golam, Morshed, et al.
Published: (2021) -
Customer’s spontaneous facial expression recognition
by: Golam, Morshed, et al.
Published: (2021)