3D Face Reconstruction Based on Fast Aggregation and Pre-registration
In order to improve the time efficiency of 3D face reconstruction,a 3D reconstruction method based on fast aggrega-tion and pre-registration is proposed.Firstly,binocular stereo vision system is constructed with two ordinary cameras.The camera parameters and face image pair are acquired by calibrating the cameras,and image pair correction,facial feature point detection and foreground extraction are conducted.Secondly,the appropriate disparity search range is obtained according to the facial feature points,which can avoid the manual setting.The fast cost aggregation method is used to improve the efficiency in the assurance of ac-curacy.The holds are filled with a multi-angle hold filling algorithm,which can obtain smoother disparity map.Next,the facial fea-ture points are extracted and registered from the restored 3D point cloud based on the facial feature point cloud registration,which can further improve the accuracy and efficiency of the registration.Finally,the Possion reconstruction method is used to recover the face surface.The experimental results show that the average time efficiency of the improved method is increased by 26.45%,the time efficiency is high,and the reconstructed 3D face contour is real and the structure is clear.
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