Global Face Pose Detection Based on an Improved PSO-SVM Method
Shuyun Li · Proceedings of the 2020 International Conference on Aviation Safety and Information Technology · 2020
Face detection is widely used in various image and video processing technologies. The detection of face direction is also one of the functions of face detection, but it is not possible to obtain an effective face direction under poor data labeling conditions. This paper proposes an improved global optimal particle swarm optimization method, in which PSO completes the global optimization of SVM parameters during the training phase. The improved PSO-SVM is mainly adjusted for the regularization parameters and kernel parameters of the SVM, and the goal is the global optimal parameter combination. The experimental results show that the improved PSO-SVM has a good effect on positive sample judgment and 45-degree face judgment.