ChirikjianLab/Marching-Primitives
[CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function
This tool helps engineers and researchers simplify complex 3D shapes into basic geometric primitives like superquadrics. You input a signed distance function (SDF) of a 3D object, and it outputs a more compact, primitive-based representation. This is ideal for those working in robotics, computer graphics, or physics simulations who need efficient ways to handle 3D object data.
144 stars.
Use this if you need to abstract detailed 3D object models into simpler, computationally efficient geometric shapes for tasks like collision detection or manipulation planning.
Not ideal if you require a highly detailed, polygonal mesh representation of a 3D object, as this tool focuses on abstraction and simplification.
Stars
144
Forks
8
Language
MATLAB
License
MIT
Category
Last pushed
Mar 19, 2026
Commits (30d)
0
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