PI3MFT

版本 1.0 (33.7 KB) 作者: Nicolas Douillet
Printable Iterative 3D Meshed Fractal Toolbox
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5.0 次下载
更新时间 2024/1/22
在 GitHub 上查看许可证
Please first chech the header of main_PI3MFT.m to view the list off possible shapes and options.
Then choose a pattern (pattern_id number) and one shape option.
Example #1
[V,T] = main_PI3MFT(1, 2, true);
gives you the Menger cube at iteration #2, displays it, and stores vertex and triangle sets in V and T output data.
Example #2
[V,T] = main_PI3MFT(2, 3, true);
gives you the cube base koch snowflake at iteration #3, displays it, and stores vertex and triangle sets in V and T output data.
Example #3
[V,T] = main_PI3MFT(16, 3, true); % with torus_shape = true;
gives you the Sierpinki torus at iteration #3, displays it, and stores vertex and triangle sets in V and T output data.
Once you have vertex V and triangle T data output sets, you will need a writer to a 3D printable format (.ply ore .stl writers for instance), which are not included in this toolbox. Beware of the format you use to register your file; some formats (e.g .stl) may mess up the triangulation and waste the 3D printable property.
Normals may not be all coherently oriented; to reorient all them coherently just use reorient_all_faces_coherently function from my mesh processing toolbox or my mesh generation toolbox.
Please don't forget to rate if this code helped and you enjoyed it ! ;-)
3D printed examples created with this code
Cube base Koch snowflake iteration #2
Sierpinski tetrahedron iteration #3
Sierpinski octahedron iteration #3

引用格式

Nicolas Douillet (2024). PI3MFT (https://github.com/NicolasDouillet/PI3MFT/releases/tag/v1.0), GitHub. 检索来源 .

MATLAB 版本兼容性
创建方式 R2019b
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Sierpinski_based_shapes

cube_coordinates

cube_face_indices

cube_transformations

other_shapes

tools

版本 已发布 发行说明
1.0

要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。
要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。