2022
DOI: 10.31801/cfsuasmas.895598
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On the matrix representation of 5th order B\'{e}zier Curve and derivatives in E$^{3}$

Abstract: Using the matrix representation form, the first, second, third, fourth, and fifth derivatives of 5th order Bézier curves are examined based on the control points in E 3 . In addition to this, each derivative of 5th order Bézier curves is given by their control points. Further, a simple way has been given to find the control points of a Bézier curves and its derivatives by using matrix notations. An example has also been provided and the corresponding figures which are drawn by Geogebra v5 have been presented i… Show more

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Cited by 6 publications
(4 citation statements)
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References 7 publications
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“…Another feature of Bézier curves is their matrix representation, which allows for a straightforward calculation of the polynomial coefficients for functions B x (t) and B y (t). For a Bézier curve of order n, the matrix equation is defined by Equation (11) [36]:…”
Section: Bézier Curvesmentioning
confidence: 99%
See 2 more Smart Citations
“…Another feature of Bézier curves is their matrix representation, which allows for a straightforward calculation of the polynomial coefficients for functions B x (t) and B y (t). For a Bézier curve of order n, the matrix equation is defined by Equation (11) [36]:…”
Section: Bézier Curvesmentioning
confidence: 99%
“…To obtain the B y (t) polynomial of the Bézier curve, the y coordinates of control points P i must be considered in Equation (11). The matrix M Béz,n is an (n + 1) × (n + 1)-sized coupling matrix between the variable t and the control point's coordinates P. By evaluating the matrix M Béz,n for Bézier curves of orders of up to 6 [36,37], the general form of matrix M Béz,n for curves of order n is determined by Equation ( 12) [38]:…”
Section: Bézier Curvesmentioning
confidence: 99%
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“…For more detail see [8,15]. It is well known that Taylor series of a function is an infinite sum of the functions derivatives at a single point a, also a Maclaurin series is a taylor series where 0. a = For any function Taylor series expansion is:…”
Section:  =  mentioning
confidence: 99%