Recognition and Analysis of Human Facial Expression: A PSO Optimization Method

摘要

A method for precise face detection and segmentation combining with the particle swarm optimization is proposed. The method uses three key technologies: skin color segmentation, particle swarm search and curve approximation. The experimental results show that this method can eliminate the interference factor, and improve the accuracy of expression recognition, especially well for some single expression recognition.