Abstract
This paper discusses the construction of scattered data interpolation scheme based on rational quartic triangular patches with C1 continuity. The C1 sufficient condition is derived on each adjacent triangle. We employ rational corrected scheme comprising three local schemes defined on each triangle. The final scheme is then being applied for scattered data interpolation. In this study, we tested the proposed scheme on regular and irregular scattered data. For regular data, we used 36, 65 and 100 data sets, while for irregular data, we used some real data sets. Besides that, we compared the performance between the proposed scheme with cubic Ball and cubic BA©zier schemes. We measure the error analysis by calculating the Root Mean Square Error (RMSE), maximum error (Max error), coefficient of determination (R²) and CPU time (in seconds). Based on the comparisons, our proposed scheme performs better than the other two existing schemes. Furthermore, for large scattered data sets, the proposed scheme requires less computation time than existing schemes. The free parameters in the description of the proposed scheme provide greater flexibility in controlling the quality of the final interpolating surface. This is very useful in the designing processes. © 2013 IEEE.
Highlights
Scattered data interpolation refers to the problem of surface reconstruction from irregular data points which is applied in many areas of sciences and engineering
This paper has discussed the application of rational quartic triangular patches of Zhu et al [32] for scattered data interpolation
We construct rational corrected scheme comprising three local schemes that blended via convex combination
Summary
Scattered data interpolation refers to the problem of surface reconstruction from irregular data points which is applied in many areas of sciences and engineering. Che Draman et al.: Scattered Data Interpolation Using Rational Quartic Triangular Patches With Three Parameters of Peninsular Malaysia Their scheme requires more computation time in order to produce the interpolating surface. Saaban et al [27] have proposed positivity preserving schemes to visualize scattered data by using cubic and quartic triangular Bézier patches with C1 continuity. These two methods do not have free parameters for shape modification. (a) In Zhu et al [32], they have proposed rational quartic spline with three free parameters They derived only G1 condition for two adjacent triangles and their scheme is not tested to scattered data interpolation.
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