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The functions of this menu enable you to use various interpolation and approximation methods to smooth polylines. These are methods that replace a given polyline by a smooth, continually differentiable curve arc. Unlike the circular arc approximation, this curve arc cannot be processed or identified.
Spline methods can be applied to all polylines of the active part. A spline method does not change polylines consisting of only one line or any circular and conic section arcs.
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This function enables you to use third-degree polynomials to smooth polylines. If the interpolating splines method is used to smooth a polyline, the smoothed curve goes exactly through all support nodes of the polyline. This already defines the precision of the resolution. If the polyline is closed, the curve is automatically closed with a smooth transition in the common start and end point. |
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This function enables you to use third-degree polynomials to smooth polylines. The tangent is determined from the direction of the second point to the penultimate point. |
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An Akima-spline is a local spline type which can represent divided straight lines exactly. |
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In an approximating Akima-spline, the path of the spline can be manipulated by changing the locality and the midpoint index. |
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The geometry of the Bezier curve is created by means of a sequence or a mesh of Bezier points with global behaviour and non-interpolating. |
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The geometry of the B-spline is created by means of a sequence or a mesh of De-Boor points with local behaviour and non-interpolating. |
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Edit Splines (2-D) • New Graphical Elements (2-D)
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