摘要
人脸检测在现今社会中具有巨大的应用意义,它是视频监测、人机交互、人脸识别等工作的基础。而人眼的准确提取是人脸检测中的关键步骤,提出了融合图像灰度和小波信息提取人眼特征的算法。实验表明,该算法具有较高的检测率,能够满足复杂背景图像中人脸检测的需要。
Human face detection is important in nowadays, which is the first step in applications such as video surveillance, human computer interface and face recognition. How to extract eyes exactly is the key processes in face detection. This paper puts forward a arithmetic for extracting eyes, which based on the grayscale image and wavelet transform. The experiment shows that the arithmetic has a high rate of detection, which is adapted to human face detection in the case of complicated backgrounds.
出处
《微处理机》
2007年第2期54-56,共3页
Microprocessors
基金
天津市自然科学基金资助(05YFJMC09200)
关键词
人脸检测
眼睛提取
灰度
小波变换
Human face detection
Extract eyes
gray
Wavelet transform
