Research on automatic facial expression recognition algorithm based on skin color and face movement

• Main Authors: Song Wanjuan, Dong Wenyong
• Format: Article
• Language: zho
• Published: National Computer System Engineering Research Institute of China 2018-05-01
• Series: Dianzi Jishu Yingyong
• Subjects: Pareto optimization algorithm; facial motion; skin color; genetic algorithm
• Online Access: http://www.chinaaet.com/article/3000083195

In this paper, the automatic facial expression based on the combination of skin color and face motion is studied. The image is transformed into YIQ color space by RGB, and the image data is extracted in the I dimension of YIQ, and the background and skin color are segmented in the two valued image. By using Pareto optimization algorithm to select facial expression feature, this algorithm has less calculation, simple structure, fast running speed, accurate detection and can track the obstructions of small angle face skin color, facial expression, face rotation and face. Experiments show that the algorithm can adapt to small angle rotation of human face. For human eyes, the algorithm is not affected, can better adapt to the rich facial expression changes and different skin colors, and has a certain stability.