Feature-based three-dimensional face modeling method

Abstract

The invention discloses a feature-based three-dimensional face modeling method, the steps are as follows: 1) divide the face into multiple areas; 2) extract the feature points of each area, and compare the preset Feature points, locally adjust the facial shape in each area; 3) Map the adjusted two-dimensional feature points from two-dimensional coordinates to a three-dimensional face model; 4) After completing the coordinate mapping, use B-splines for the feature points function to fit the B-spline curve; 5) use the smooth transition algorithm to splice each face area together. The face model generated by the feature-based three-dimensional face modeling method of the present invention has a higher degree of restoration, and the details from bones to contours to facial features are more realistic, which overcomes the lack of realism and stiff expressions of previous face modeling methods question.

Description

technical field [0001] The invention relates to the technical field of three-dimensional human body modeling, in particular to a feature-based three-dimensional face modeling method. Background technique [0002] The traditional 3D face modeling is to use a set of mesh face models composed of triangular faces, to compare and adjust each triangular face, and then use the smooth transition algorithm to polish the face model. The problem with this solution is that The granularity of the adjustment is too high, because the number of triangles in the entire model is fixed, so it is bound to appear that some areas cannot be adjusted to the desired pattern. Moreover, during the adjustment process of the model, what it adjusts is a piece of individual triangular faces. In some cases, the structure of the entire face may be cut into pieces. Even if the smooth transition algorithm is used, it is difficult to polish a complete and recognizable person. face model. Contents of the inv...

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Problems solved by technology

[0002] The traditional 3D face modeling is to use a set of mesh face models composed of triangular faces, to compare and adjust each triangular face, and then use the smooth transition algorithm to polish the face model. The problem with this solution is that The granularity of the adjustment is too high, because the number of triangular faces in the entire model is fixed, so it is bound to appear that some areas cannot be adjusted to the desired pattern.

Moreover, during the adjustment process of the model, what it adjusts is a piece of individual triangular faces. In some cases, the structure of the entire face may be cut into pieces. Even if the smooth transition algorithm is used, it is difficult to polish a complete and recognizable person. face model

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