Curve Fitting with Bézier Cubics
✍ Scribed by Lejun Shao; Hao Zhou
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 347 KB
- Volume
- 58
- Category
- Article
- ISSN
- 1077-3169
No coin nor oath required. For personal study only.
✦ Synopsis
An image's outline cannot be fitted by a single cubic Be ´zier curve piece if it contains corners. Corners are points
In this paper, a new curve-fitting algorithm is presented. This algorithm can automatically fit a set of data points with at which the outline's directions take a sharp turn, or the piecewise geometrically continuous (G 1 ) cubic Be ´zier curves. outlines have discontinuous tangent values.
The algorithm consists of two steps. During the first step, sig-
- An image's outline cannot be fitted by a single cubic nificant points are identified from the given data set and are Be ´zier curve if it contains more than two inflection points.
further classified as either corners or joints. Curve fitting is
- An image's outline is difficult to be fitted by a single done in the second step. A weighted least-squares technique is used to find an optimal solution for the construction of piecewise piece of cubic Be ´zier curve if it has large curvature changes Be ´zier curves. The resulting Be ´zier curve segments will be along certain portion of the curve.
smoothly connected at all joint points. This algorithm has Therefore, in most cases, an image's outline will be fitted been applied to many digital images with good results.
📜 SIMILAR VOLUMES
Any segment between two points on a BCzier curve is itself a Bezier curve whose BCzier polygon is expressed explicitly in terms of the sides of the BCzier polygon associated with the original curve.
Using the same technique as for the C-B-splines, two other forms of C-Bézier curves and a reformed formula for the subdivisions are proposed. With these new forms, C-Bézier curves can unify the processes for both the normal cases, and the limiting case (α → 0) with precise results. Like the C-B-spli