Feature Extraction with Handcrafted Methods and Convolutional Neural Networks for Facial Emotion Recognition
This research compares the facial expression recognition accuracy achieved using image features extracted (a) manually through handcrafted methods and (b) automatically through convolutional neural networks (CNNs) from different depths, with and without retraining. The Karolinska Directed Emotional...
Main Authors: | Eleni Tsalera, Andreas Papadakis, Maria Samarakou, Ioannis Voyiatzis |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-08-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/17/8455 |
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