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Face Warping

机译:面部翘曲

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摘要

Given a geometrically normalised 2D image of a face and the co-ordinates of the eyeballs' centre, we provide a method which creates the corresponding frontal face and gives a qualitative and quantilative measure of the horizontal tilt of the face, using the natural symmetry of the human head. By multiscale dynamic programming, we obtain the optical flow (2D warp) which transforms the input face into its mirror image, this mirror image being a good approximation of the same head that has undergone a 3D rotation. The frontal face is obtained by applying half of the magnitude of the optical flow, and any pose is obtained by applying a fraction of this optical flow. The nose axis, which gives a quantitative and qualitative tilt estimation, is obtained by the reverse optical flow applied on the symmetrical axis of the generated frontal face. Experimental results on 500 imgaes and on the Surrey database confirm the performance of this system.
机译:给定脸部的几何归一化2D图像和眼球中心的坐标,我们提供了一种方法,该方法可以创建相应的正面脸部,并使用自然的对称性对脸部的水平倾斜度进行定性和定量的测量人类的头。通过多尺度动态编程,我们获得了将输入面转换为其镜像的光流(2D扭曲),该镜像是经过3D旋转的同一头部的良好近似。正面是通过应用一半的光流来获得的,而任何姿势都可以通过应用此光流的一小部分来获得。通过施加在生成的正面的对称轴上的反向光流,可获得给出定量和定性倾斜估计的前轴。在500个图像和Surrey数据库上的实验结果证实了该系统的性能。

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