基于彩色和深度信息的头部活动度测量

Measurement of the cephalic active degree based on color and depth information

为在远程无接触的条件下精确、实时地获取人体头部活动度,提出了一种基于彩色和深度信息来测量头部活动度的方法。在彩色图像预处理阶段,先将图像转化为灰度图像并调节对比度,再通过高斯平滑和最大类间方差法分别进行图像的去噪和二值化处理,接着通过灰度投影法划分人脸区域并进一步提取特征点。在此基础上,结合深度信息形成三维坐标,通过向量旋转计算出旋转角度。测量结果证明,这种测量方法在一定活动范围内,可以取得较为准确的头部活动度参数。

In order to get the cephalic active degree accurately in real time under the condition of remote non-contact,a method of measuring cephalic active degree based on color and depth information is proposed.In the process of color image preprocessing,the image is transformed into a gray image and the contrast is adjusted.Then the image denoising and two value processing are processed by the Gauss smoothing and the maximum inter class variance method.Then,face regions are further divided by gray projection method and feature points are further extracted.On this basis,the three-dimensional coordinates are formed with the depth information,and the rotation angle is calculated by the rotation of the vector.The measurement results show that this measurement method can obtain more accurate cephalic active degree within a certain range of activity.