Hi Odysseas,
What I understand from your issue is that you want to generate control points for you curve. So, there isn't a singular standardized approach for this. However, there are several techniques you can employ, such as interpolation or approximation methods. Here are a couple of possible options listed below:
- Interpolation: Interpolation techniques, including linear, polynomial (e.g., Lagrange or Newton polynomials), or spline interpolation (e.g., cubic splines), can be utilized to determine control points that approximate the given collection of points.
- Approximation: Approximation methods aim to find a simplified representation of the provided points. Techniques such as least squares fitting (e.g., polynomial fitting or regression) or curve fitting algorithms (e.g., utilizing the least squares method with B-splines) can be employed to generate control points that best fit the data.
Here are some resources that provide more information about these methods:
These resources will provide you with more detailed explanations, examples, and usage instructions for generating control points from a given collection of points using interpolation or approximation techniques.
Hope this helps!