Texture mapping method in three-dimensional virtual head and face modeling

Abstract

The invention provides a texture mapping method in three-dimensional virtual human head and face modeling, and the method comprises the steps: cutting a front view and a side view of a real human face of a to-be-mapped person according to the position of a feature point through building a personalized human face model, and calculating the offset and the offset angle of each flush region; performing shear transformation on the cut side view according to the offset and the offset angle to obtain a side view after shear transformation; and introducing a Laplacian pyramid algorithm to fuse the mirror image of the cut front view, the mirror image of the side view after the shear transformation and the mirror image of the side view after the shear transformation, and mapping the fused image into the personalized face model to obtain a texture mapping face model of the to-be-mapped figure. Texture cracks can be effectively reduced under the condition of ensuring low data acquisition cost, so that the mapped texture mapping face model is more vivid.

Description

technical field [0001] The invention belongs to the technical field of image processing and computer graphics, in particular to a texture mapping method in three-dimensional virtual human head and face modeling. Background technique [0002] Texture mapping is an important stage of 3D virtual face modeling. Realistic 3D virtual face reconstruction is based on good texture mapping. However, there are the following problems in practice: [0003] (1) Although the use of 3D scanning data to perform geometric reconstruction and texture feature restoration on the face can obtain an ideal face effect and high model accuracy, the scanning equipment is expensive, the operation is complicated, and it is difficult to popularize; [0004] (2) When using the front and side photos of the person to generate the head panoramic texture map, the texture comes from different photos, so there will be gaps due to the color difference of the texture source image, so it is necessary to perform col...

AI Technical Summary

Problems solved by technology

[0003] (1) Although the geometric reconstruction and texture feature restoration of the human face using 3D scanning data can obtain an ideal human face effect and high model accuracy, the scanning equipment is expensive and the operation is complicated, so it is difficult to popularize;

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