中文摘要：

人脸深度旋转是人脸识别领域的一个瓶颈问题．首先探讨了不同方向、尺度的Gabor滤波器对于判别不同朝向的人脸姿势的性能，然后提出了一个基于Gabor滤波和分数幂多项式核Fisher判别准则的人脸姿势判别方法，最后利用改进的点点对应算法和线性物体类的原理构造正脸合成的算法．实验结果表明，新提出的姿势判别和合成方法是有效的．

英文摘要：

Facial pose under depth rotation is a tough problem in human face recognition. In this paper, it is firstly discussed that orientation and size of Gabor filter have the optimal capability to discriminate face pose. Secondly, a Gabor-based KFDA（kernel Fisher discriminant analysis） method coupled with fractional power polynomial model is proposed to serve as the face pose classifier. Finally, an integrity human face synthesis method is presented based on a new full-correspondence algorithm and linear object classes. The experiment results show that the proposed method is efficient.