摘要
如何准确地定位人脸是人脸识别中非常关键而且重要的一步。笔者提出一种基于OpenCV人眼定位的人脸检测方法。利用从摄像头得到的视频图像中随机获取的单帧图像作为待处理人脸图像,通过人眼定位、图像旋转、分割以及缩放得到标准化后的人脸图像,再经过ART2神经网络的学习认知,计算其识别率。对比实验说明此方法能够应用于人脸识别,并具有较快的识别速度和良好的识别率,特别方便于实际应用。
How to accurately locate the face is a very critical and important step in face recognition.This paper proposed a method of face detection based on eye location using OpenCV. Using the single frame image that was randomly got from the video images of the camera as the face image to be processed,a standardized face image can be received through eye location,image rotation,segmentation and scaling.Once more through the learning awareness of ART2 Neural Network,the rate of the recognition was calculated.The comparison experiments show that this method can be applied in face recognition and has relatively rapid speed of recognition and a good rate of recognition,which is particularly convenient in practical application.
出处
《北京石油化工学院学报》
2012年第4期48-53,共6页
Journal of Beijing Institute of Petrochemical Technology
关键词
人眼定位
人脸检测
视频图像
神经网络
人脸识别
eye location
face detection
video image
neural network
face recognition
