Fitting of Continuous Line Segments with Arc Paths
Jiangang Li, Xi‐Qing Sun, Ye Liu
Abstract
Jiangang Li, Xi‐Qing Sun, Ye Liu
Abstract
In this paper, we propose a half-constraint least squares algorithm to fit the continuous line segments with arc paths. In particular, we develop a method to calculate the nodes, with which the fitting algorithm is more robust against the noise and the arc path contains more arcs. Moreover, the tolerance of the first-order derivative is considered for the nodes, so that the arc path becomes smoother. Numerical simulations and experiments are conducted to verify the validity of the proposed method and to show the improved performance in the sense of high precision.
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In this paper, we propose a half-constraint least squares algorithm to fit the continuous line segments with arc paths. In particular, we develop a method to calculate the nodes, with which the fitting algorithm is more robust against the noise and the arc path contains more arcs. Moreover, the tolerance of the first-order derivative is considered for the nodes, so that the arc path becomes smoother. Numerical simulations and experiments are conducted to verify the validity of the proposed method and to show the improved performance in the sense of high precision.
Key concepts: Arc (geometry), Path (computing), Algorithm, Constraint (computer-aided design), Line (geometry), Noise (video), Line segment, Computer science