Research on facial expression recognition of video stream based on OpenCV Online publication date: Tue, 05-Jan-2021
by Feng Gao; Daizhong Luo; Xinqiang Ma
International Journal of Biometrics (IJBM), Vol. 13, No. 1, 2021
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%.
Online publication date: Tue, 05-Jan-2021
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biometrics (IJBM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com