Abstract
We propose a fast method for fitting planar B-spline curves to unorganized data points. In traditional methods, optimization of control points and foot points are performed in two alternating time-consuming steps in every iteration: 1) control points are updated by setting up and solving a linear system of equations; and 2) foot points are computed by projecting each data point onto a B-spline curve. Our method uses the L-BFGS optimization method to optimize control points and foot points simultaneously and therefore it does not need to solve a linear system of equations or performing foot point projection in every iteration. As a result, the proposed method is much faster than existing methods.
| Original language | English |
|---|---|
| Pages (from-to) | 448-462 |
| Number of pages | 15 |
| Journal | Computer Aided Geometric Design |
| Volume | 29 |
| Issue number | 7 |
| DOIs | |
| State | Published - Oct 2012 |
| Externally published | Yes |
Keywords
- B-spline curve
- Curve fitting
- L-BFGS
- Point cloud
- Quasi-Newton method
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