Abstract
In order to improve the accuracy of a special kind of facial expression recognition problem, a method for precise face detection and segmentation combined with the particle swarm optimization is proposed. The method uses three key technologies: skin color segmentation, particle swarm search and curve approximation. Firstly, the face contour is roughly obtained through skin color segmentation. Secondly, the accurate face position is detected by particle swarm optimization. Thirdly, the face contour is reduced and regulated further via the curve approximation. The experimental results show that this method can eliminate the interference factor, and then improve the accuracy of expression recognition.
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