基于单幅正面照片的三维人脸重建方法

三维人脸重建算法需要多张照片实现重建且重建效率低下。针对上述问题，提出一种利用单幅正面照片重建三维人脸的方法。采用薄板样条函数对数据库中的三维人脸确立点对点的对应关系，建立平均三维人脸模型，利用LMA算法优化形状系数以恢复其三维形状，人脸颜色纹理信息可通过垂直投影得到。实验结果表明，利用该方法重建得到的三维人脸逼真且时间效率高。

3D Face Reconstruction Method Based on Single Frontal Photo

3D face reconstruction algorithms require more than one image to realize reconstruction and their efficiency is low. Aiming at the problems, this paper proposes a 3D face reconstruction algorithm based on single frontal photo. It uses Thin Plate Spline(TPS) function to build 3D face model by establishing the point-to-point correspondence among 3D faces in the database, so that an average 3D face model is built. It uses Levenberg-Marquardt Algorithm(LMA) to optimize the shape coefficients. The input image is projected orthogonally to the 3D shape to generate the face texture. Experimental results show that the method can generate realistic 3D faces efficiently.