Research and Application of 3D Face Modeling Algorithm Based on ICP Accurate Alignment

This paper focuses on 3D face modeling. First, the panorama is divided into faces. Then the segmented face depth map is filtered first and then registered. Finally, complete the process of modeling the human face. The face segmentation process is mainly to remove the background of the panoramic depth map, and then perform segmentation of the human head. In this paper, select the rough registration method based on SIFT feature point depth map.Use the optimized bidirectional matching algorithm to purify the matched feature point pairs. Then this paper uses the SVD algorithm to find the transformation matrix and complete the depth map rough registration. This paper mainly selects the improved ICP algorithm for accurate registration. The improvement strategy is mainly based on the search acceleration of the K-D tree. The experimental results show that the curvature of the human body changes greatly between the frontal and lateral surfaces of the human body. When the overlapping area is small, the face registration can be performed more accurately and complete face modeling can be performed.