Research on facial expression recognition of video stream based on OpenCV. (15th December 2020)

• Record Type: Journal Article
• Authors: Gao, Feng; Luo, Daizhong; Ma, Xinqiang
• Is Part Of: International journal of biometrics. Volume 13:Number 1(2021)
• Page Start: 114
• Page End: 129
• Publication Date: 2020-12-15
• Subjects: OpenCV -- video stream -- face -- facial expression recognition; Biometric identification -- Periodicals; Biometry -- Periodicals; 570.15195
• Languages: English
• ISSNs: 1755-8301

Abstract

In order to overcome the poor performance of expression similarity measurement in traditional video stream facial expression recognition methods, an OpenCV based facial expression recognition method is proposed. In this method, the video stream face detection image is obtained by the window detection of various features in each position for the video stream image through the cascade classifier, and the image preprocessing is implemented. Based on OpenCV, the most important eyes and mouth in the facial expression are modeled, the eye feature model and mouth feature model are constructed, and the facial expression recognition of the video stream is realised through the constructed model. The experimental results show that the performance of expression similarity measurement is better, and the recognition rate of different expressions is more than 90%.