基于YUV颜色空间的脸部区域特征点定位方法

为了实现面部主要特征点的精确定位,提出了一种融合YUV颜色空间与差分投影技术的人脸区域主要特征点定位方法。利用直方图拟合技术,实现了人脸区域的定位;在YUV颜色空间内,利用红色调像素点集的相位分布完成了嘴部区域的定位;利用差分投影技术求取脸部区域的横、纵向灰度差之和,并结合嘴唇区域的定位结果完成眼部区域的垂直定位与水平定位,为进行面部姿态识别奠定基础。试验结果表明,该方法可以有效地实现面部主要特征点地定位,具有准确率高,鲁棒性好,简单易行的特点。

Human face feature points detection method based on YUV color space

To realize the accurate detection of facial features,a YUV color space and difference projection theory combined method was presented.The histogram curve fitting method was used to identify the location of the face;in the YUV color space,lip regions was got from the projection of images according to its red chrominance;vertical and horizontal difference projection theory was carried out to detect the eye regions and it was the foundation of facial expression recognition.Experimental results show that the method presented could realize the feature detection effectively,regardless of light changes.They also show that the algorithm is of high precision,robust and easy to use.