Author(s)

Jie Ding，Guotao Zhao

Corresponding Author

Guotao Zhao

Abstract

In order to improve the ability of 3D intelligent dynamic face recognition, a classification and location recognition algorithm for 3D intelligent dynamic face in computer vision based on Harris corner detection is proposed. The Harris corner detection algorithm is used to calibrate the information of 3D intelligent dynamic facial miniscule feature points. The accurate classification and location is realized. Simulation results show that this algorithm has high accuracy for 3D intelligent dynamic face classification and location recognition, and has a good effect on feature extraction and location recognition of 3D intelligent dynamic face. It has high application value in 3D intelligent dynamic face recognition and computer vision monitoring.

Keywords

Computer vision, 3D intelligent dynamic face, corner detection, feature extraction