Fit cuboids in 3D point data.
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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.
Cite As
Usama Mehmood (2026). Cuboid fit (RANSAC) (https://github.com/usamamehmood3/Cuboid-Fitting-RanSAC), GitHub. Retrieved .
General Information
- Version 1.0.4.5 (483 KB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 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 |
