基于双目立体视觉和形变模型的人脸三维重建研究

Research on 3D Reconstruction of Face Based on Binocular Stereo Vision and Deformation Model

摘要: 人类通常对事物的感知是从三维的角度出发，要求计算机也能够利用二维人脸图像自动重建相应的三维形状模型。双目下基于形变模型的人脸三维重建，是通过SIFT算法进行特征点匹配、视差计算得到三维坐标，将三维坐标直接应用于人脸形变模型，克服了传统方法寻找二维与三维坐标的大致转换关系，精度低的缺点，从而重建出具有较强真实感的三维人脸模型。

Abstract: People usually perceive things from a three-dimensional perspective, requiring the computer to automatically reconstruct the corresponding three-dimensional shape model using two-dimensional human face images. The three-dimensional face reconstruction based on 3DMM under binocular vision is to use SIFT algorithm for feature point matching and disparity calculation to obtain three-dimensional coordinates. The three-dimensional coordinates are applied directly to the face deformation model, which overcomes the traditional method of finding two-dimensional and three-dimensional coordinates, convert the relationship, the disadvantage of low precision, thus reconstruct a three-dimensional face model with a strong sense of reality.