摘要
眨眼是人眼的重要特征。尝试了一种将双眼作为整体,利用Haar小波变换确定位置,然后利用人脸模型,分割出两个单眼,最后使用PCA方法判断出眨眼的检测方法。这种方法将双眼作为整体检测克服了人眼单眼定位的误差,并在双眼整体检测结果上运用PCA方法提取数据,检测眨眼,实验结果表明,此方法是可行和有效的。
Blink is an important feature of human eyes.The both eyes were treated as an entirety and the eye area was located by using Haar wavelet.The two eyes were obtained based on facial model,at last blink detection method were got by using PCA method.The method reduced error of eye location using single eye by treating the both eyes as a whole.And based on the result of eyes detection data extraction,blink detection can be done by using PCA method.The experimental results show the method is feasible and effective.
出处
《辽宁石油化工大学学报》
CAS
2010年第3期68-71,共4页
Journal of Liaoning Petrochemical University
关键词
HAAR小波
特征检测
特征眼
主元分析法
Haar wavelet
Feature detection
Eigeneye
Principal component analysis method
