Dynamic Facial Expression Understanding Using Deep Spatiotemporal LDSP On Spark
Facial expressions are the most common medium for expressing human emotions. Due to the wide range of real-world applications, facial expression understanding has received extensive attention from researchers. One of the most vital issues of facial expression recognition is the extraction and modeli...
Main Authors: | Md Azher Uddin, Joolekha Bibi Joolee, Kyung-Ah Sohn |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9330541/ |
Similar Items
-
Dynamic Scene Recognition Using Spatiotemporal Based DLTP on Spark
by: Md Azher Uddin, et al.
Published: (2018-01-01) -
A CNN-LSTM BASED DEEP NEURAL NETWORKS FOR FACIAL EMOTION DETECTION IN VIDEOS
by: Arnold Sachith A Hans, et al.
Published: (2021-06-01) -
Spatio-Temporal Abnormal Behavior Prediction in Elderly Persons Using Deep Learning Models
by: Meriem Zerkouk, et al.
Published: (2020-04-01) -
Human Action Recognition Using Adaptive Local Motion Descriptor in Spark
by: Md Azher Uddin, et al.
Published: (2017-01-01) -
Clustering With Orthogonal AutoEncoder
by: Wei Wang, et al.
Published: (2019-01-01)