Intelligent facial emotion recognition using a layered encoding cascade optimization model
A layered cascade optimization model is developed for facial emotion recognition. Two layered cascade-based evolutionary algorithms are proposed for feature selection. They focus on within-class and between-class variations for feature optimization. Both a neural network and an adaptive ensemble classifier are employed for expression recognition. Superior performance is shown in both frontal and 90 side-view expression recognition.
cascade optimization evolutionary algorithm feature selection ensemble classifier facial expression recognition layered representation structure