Overview

The Landmark-Driven Facial Expression Recognition system is a method based on the SCN backbone intended for facial expression recognition (FER). This method does not use official FER module implementations and is designed for research purposes. The integration of facial landmark detection algorithms into the FER framework has shown improved accuracy in experimental results, eliminating the need for pretrained models.

Features

Landmark-driven method for Facial Expression Recognition
Utilizes robust and efficient facial landmark detection algorithms
Combines facial landmark detection and FER tasks in one framework
Experimental results show the improvement of FER accuracy with facial landmarks
Data from FER2013 dataset with image properties of 48x48 pixels and labels for different expressions

Summary

The Landmark-Driven Facial Expression Recognition system offers a novel approach to FER by integrating facial landmark detection algorithms. By avoiding the use of pretrained models and leveraging the accuracy enhancement provided by facial landmarks, this method demonstrates promising results on the FER2013 dataset. Researchers interested in exploring FER with a landmark-driven approach can utilize this system for experimental purposes.

Rainbowrui

Landmark Driven Facial Expression Recognition