The program can be used to fit cuboids in 3D point data. The inlier and outlier sets are also returned. The 3D point-cloud and the cuboid model are displayed in a figure. The heuristic is based on Random Sample Consensus.
Sample 3D point data is also included for immediate testing. Use runme.m to execute the example.
Refer to Readme.md for instructions to run the code.
Citation pour cette source
Usama Mehmood (2025). Cuboid fit (RANSAC) (https://github.com/usamamehmood3/Cuboid-Fitting-RanSAC), GitHub. Extrait(e) le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
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- Mathematics and Optimization > Mapping Toolbox > Coordinate Reference Systems >
- Radar > Mapping Toolbox > Coordinate Reference Systems >
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| Version | Publié le | Notes de version | |
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| 1.0.4.5 | Updated Title |
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| 1.0.4.4 | .. |
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| 1.0.4.3 | Updated description |
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| 1.0.4.2 | Updated description |
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| 1.0.4.1 | Notes updated |
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| 1.0.4.0 | Updated to Matlab's convex-hull function in minset(),
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| 1.0.3.0 | Reformatted the input to RANSAC function.
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| 1.0.2.0 | Updated title |
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| 1.0.1.0 | Detail on how to run the code is added. |
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| 1.0.0.0 |
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