视频人脸的器官快速定位

传统的人脸器官定位算法系统运算时间较长，不适于视频人脸的器官定位.运用了Adaboost从视频图像中检测出人脸区域并确定其位置，将人脸区域进行肤色分割并确定出器官位置：首先对视频相邻两帧的人脸肤色区域差分初步确定眼部区域，再根据人脸器官的几何分布特征精确的定位眼部区域.最后利用伪H分量的数据分布确定嘴唇区域.通过实验表明本文的视频人脸检测算法处理时间较短和定位准确率较高.

Fast apparatus location in video face

Traditional face apparatus location need more time to compute, it is not fit for apparatus location in video face.The authors use Adaboost algorithm to detect the face region from video images and get the position, divide the skin region from the face region and then do apparatus location as: first ,the authors can find the eye region by getting the difference of image from the two adjacent face skin regions, then the authors can confirm the exact eye region depending on the distribution character of the apparatus . At last, the authors use the distribution in pseudo hue level to divide the lip region from the face. Proven by the experiments, the method in this paper could detect the apparatus region quickly and precisely.