Title:	A Comparative Study of Convex Combination and Inner Ordinate Methods For Scattered Data Interpolation Using Quartic Triangular Patch
Authors:	Tamin, Owen Karim, Samsul Ariffin Abdul Hasan, Mohammad Khatim
Citation:	WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 339-348.
Issue Date:	2024
Publisher:	Václav Skala - UNION Agency
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/57408
ISSN:	2464–4625 (online) 2464–4617 (print)
Keywords:	kvartický polynom;konvexní kombinace;vnitřní ordináty;rozptýlená data;interpolace;trojúhelníkový;plocha
Keywords in different language:	quartic polynomial;convex combination;inner ordinates;scattered data;interpolation;triangular;patch
Abstract in different language:	In this study, we perform a comparative evaluation and assessment for the scattered data interpolation using a quartic polynomial triangular patch with ten control points on a triangular domain. The comparison is made using two different convex combinations and inner ordinates methods, i.e., cross derivative and cubic precision. Statistical Goodness-fit measurements used are maximum error, coefficient of determination (R 2 ), CPU time (in seconds), and contour plot. From the result, the cubic precision method with linear convex combination methods gave better results with smaller CPU times and higher R 2 value. All numerical and graphical results are presented using MATLAB programming
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	WSCG 2024: Full Papers Proceedings

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