为了解决人脸在不同姿态下难以识别的问题，提出了一种基于改进的双目立体视觉的正面人脸合成算法. 针对人脸图像纹理平滑性对特征匹配带来的困难，设计了一套新的匹配算法，获得了更准确的人脸视差图. 根据视差图求出人脸的三维坐标，参照人眼特征点定位结果求出人脸偏转角度，并将人脸合成为正面图像. 实验结果表明，该方法比其他方法具有更高的真实性和准确性，同时具有较快的处理速度.
To improve the face recognition performance under different poses, we propose an improved frontal face synthesis method based on binocular stereo vision, which can effectively and quickly synthesize a frontal face. A modified matching algorithm is designed to deal with smoothness of faces. Then 3-D coordinates are generated according to the disparity image, and the pose angle of the face calculated according to the location of eyes. A frontal face is generated according to the pose angle using the method of binocular stereo vision.Experimental results show that the method is precise, practical, and fast.
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