Research On 3D Reconstruction of Face Based on Binocualr Stereo Vision

Abstract

People usually perceive things from a three-dimensional real world, 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 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 its coordinates, convert the relationship, the disadvantage of low precision, thus reconstruct a three-dimensional face model with a strong sense of reality.The experimental results show that the algorithm can be stably matched under illumination, blur, noise, near and far, and the experimental error of Zhang zheng you's calibration method is controlled within 0.4 pixel, and accuracy to meet the general application requirements.The three-dimensional reconstruction of the indoor scene can also learn from this method.