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Facial Expression Recognition In The Wild Using Convolutional Neural Networks, Amir Hossein Farzaneh
Facial Expression Recognition In The Wild Using Convolutional Neural Networks, Amir Hossein Farzaneh
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
Facial Expression Recognition (FER) is the task of predicting a specific facial expression given a facial image. FER has demonstrated remarkable progress due to the advancement of deep learning. Generally, a FER system as a prediction model is built using two sub-modules: 1. Facial image representation model that learns a mapping from the input 2D facial image to a compact feature representation in the embedding space, and 2. A classifier module that maps the learned features to the label space comprising seven labels of neutral, happy, sad, surprise, anger, fear, or disgust. Ultimately, …