Abstract: In recent years, curve fitting technology has been widely used in image processing, engineering experiments and other fields. Among them, B-spline curve fitting is the most common method in curve fitting, the method of B-spline curve fitting has the advantages of locality, continuity but the fitting precision is relatively low. In practical application, B-spline curve fitting requires higher accuracy and speed. In order to increase the speed of planar B-spline curve fitting, Anderson acceleration is applied to the method of planar B-spline curve fitting. And then a quasi-Newton method based on Anderson acceleration is proposed. Firstly, an initial shape is set, and then the position parameters of the projection point of each data point are found according to the initial shape. Then, the corresponding position of control points is calculated by Anderson acceleration, and the above two steps are iterated until the result converges. The experimental results show that the proposed method in this paper outperforms other methods with respect to convergence speed and iteration time.

Key words: B-spline fitting, Anderson acceleration, quasi-Newton method, curve fitting, spline approach