matlab-point-cloud-registration
Register 3-D point clouds using ICP, NDT, LOAM, FGR, phase correlation, and CPD algorithms. Use when registering or aligning 3-D point clouds, choosing a registration algorithm, tuning registration parameters, preprocessing point clouds for registration or combining point clouds after registration.
npx skills add matlab/matlab-agentic-toolkit --skill matlab-point-cloud-registration --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Point Cloud Registration Select `pcregistericp` with `Metric="planeToPlane"` as the starting point, evaluate algorithm accuracy using RMSE, and align the point clouds using `pcalign`. ## When to Use - User asks to register, align or match 3-D point clouds represented as `pointCloud` objects - User needs to choose or tune a registration algorithm - User wants to build a map from multiple lidar scans - User wants to combine or merge registered point clouds - User asks about initial transformation estimation for registration - User asks to preprocess point clouds before registration ## When NOT to Use - User wants to register 2-D point clouds (use `matchScans`, `matchScansGrid`, or `matchScansLine`) - User wants image registration (use `imregtform` or `imregcorr` from Image Processing Toolbox) ## Required Toolboxes - Computer Vision Toolbox - Lidar Toolbox ## Legacy Patterns to Avoid | Do NOT use | Use instead | Why | |------------|-------------|-----| | `rigid3d` for InitialTransform | `rigidtform3d` | `rigidtform3d` uses the premultiply transformation convention, which is more commonly used.| ## Algorithm Selection Guide ### Local Registration If you have an initial transformation
- When to Use
- When NOT to Use
- Required Toolboxes
- Legacy Patterns to Avoid
- Algorithm Selection Guide
- Local Registration
- Ground Data Registration
- Global Registration
- General Guidelines
- Preprocessing Steps
- Parameter Tuning
- Combining Point Clouds
- Interactive Comparison
- Patterns
What does the matlab-point-cloud-registration skill do?
Register 3-D point clouds using ICP, NDT, LOAM, FGR, phase correlation, and CPD algorithms. Use when registering or aligning 3-D point clouds, choosing a registration algorithm, tuning registration parameters, preprocessing point clouds for registration or combining point clouds after registration.
How do I install it?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-point-cloud-registration --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From matlab/matlab-agentic-toolkit, a repository with 868 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.