Three-dimensional cellular automaton based lightweight model and optimizing method
A lightweight model and three-dimensional cell technology, which is applied in the field of lightweight model generation and optimization based on three-dimensional cellular automata, and can solve the problem of unclear target structure generation.
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Embodiment 1
[0056] see figure 1 , a method for generating and optimizing a lightweight model based on a three-dimensional cellular automata, characterized in that the operation steps are as follows: 1) space division. Input the grid model, and perform spatial division on the input grid model. 2) Cellular evolution based on neighborhood information. 3) Feedback evolution based on FEA analysis. 4) Surface reconstruction. Surface reconstruction of internal structures is performed on the resulting lightweight voxel model. 5) Parameter verification. Verify the parameters of the lightweight model generated by evolution.
Embodiment 2
[0058] This embodiment is basically the same as Embodiment 1, and the special features are as follows:
[0059] Step 1) Space division: In order to generate a lightweight structural model driven by a cellular automata, the present invention proposes a method for generating and optimizing a lightweight model based on a three-dimensional cellular automata. The lightweight implementation of the model is realized by using C++ language in the VisualStudio2013 development environment. The preferred instance of the input stl triangular mesh model cat (see figure 2 ), use the octree method to space-divide the input grid model, construct the bounding box of the triangular mesh model, use the octree to subdivide the mesh model adaptively, and after the triangular mesh is voxelized, based on the projection vector method Determine the internal / external nodes of the voxel, traverse the position value of the hexahedral voxel generated by the mark, and divide the model into three cases: ex...
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