An improved 3D intelligent dynamic face recognition algorithm based on computer vision

摘要：

　　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.

关键词： computer vision 3D intelligent dynamic face corner detection feature extraction

作者: Jie Ding Guotao Zhao

作者单位: College of Technology,Hubei Engineering University,Xiaogan,432000,China School of Foreign Languages,Hubei Engineering University,Xiaogan,432000,China

会议类型: 国际会议

会议名称: 2019 International Seminar on Automation,Intelligence,Computing, and Networking (ISAICN 2019) (2019自动化、智能、计算和网络国际研讨会)

会议地点: 浙江宁波

会议语种:英文

页码: 435-441

在线出版日期: 2019-07-06（万方平台首次上网日期，不代表论文的发表时间）