Tetrahedralization Method for 3D Mesh Model
A three-dimensional grid, tetrahedral technology, applied in 3D modeling, image data processing, instruments, etc., can solve the problems of lack of geometric factors, cumbersome operation, unsatisfactory grid shape, etc., to improve quality and optimize quality. Effect
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Embodiment 1
[0088] Such as Figure 1-7 as shown, figure 1 As the initial model, the method for tetrahedralizing the three-dimensional grid disclosed by the present invention is used for processing, and the specific algorithm steps are as follows:
[0089] (1), model initial position preprocessing
[0090] 3D model principal component analysis (PCA) is a commonly used method in model processing, because it can effectively extract the main components and structure of the model, and remove noise and interference to a certain extent, so it has become the most important method for 3D models. The base transformation that applies other subsequent operations. Usually, when the PCA operation is applied to the model, the 3D degrees of freedom of the model need to meet the following basic requirements: translation invariance, rotation invariance, and scaling invariance. When performing PCA analysis, translation and scaling invariance are relatively easy to achieve, so the differences between vari...
Embodiment 2
[0123] Such as Figure 19-24 as shown, Figure 19 It is the initial model of the rabbit, which is processed by using the tetrahedralization method of the three-dimensional grid disclosed in the present invention:
[0124] (1), model initial position preprocessing
[0125] 3D model principal component analysis (PCA) is a commonly used method in model processing, because it can effectively extract the main components and structure of the model, and remove noise and interference to a certain extent, so it has become the most important method for 3D models. The base transformation that applies other subsequent operations. Usually, when the PCA operation is applied to the model, the 3D degrees of freedom of the model need to meet the following basic requirements: translation invariance, rotation invariance, and scaling invariance. When performing PCA analysis, translation and scaling invariance are relatively easy to achieve, so the differences between various methods mainly foc...
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