计算机视觉在人脸识别领域中的应用研究

Application of Computer Vision in Face Recognition

随着人工智能的发展,需要自动人脸识别的场景会越来越多,采用计算机视觉快速准确地检测并识别出目标人脸成为必然趋势。使用摄像头采集到的人脸图像,通过灰度化的方法进行预处理,经过预处理后的图像更容易进行特征提取。该方法能够快速检测到人脸,有效提取人脸面目特征,并且准确识别出相应的人脸,主要应用在静态图像的人脸识别中,基本上满足了人脸检测和识别的实时性要求,应用前景广阔。

With the development of artificial intelligence,more and more scenes need automatic face recognition.It is an inevitable trend to use computer vision to detect and recognize the target face quickly and accurately.The face image collected by camera is preprocessed by grayscale method,and the image after preprocessing is easier to extract features.This method can detect the face quickly,extract the face features effectively,and recognize the corresponding face accurately.It is mainly used in the face recognition of static image,which basically meets the real-time requirements of face detection and recognition,and has a broad application prospect.