2006
DOI: 10.1016/j.amc.2006.01.034
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A simple matrix form for degree reduction of Bézier curves using Chebyshev–Bernstein basis transformations

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Cited by 29 publications
(14 citation statements)
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“…So, for a given error tolerance, the number of subdivisions cannot be known before degree reduction is conducted. Furthermore, our approach shares the common limitation of known methods using the basis transformation matrices [1,3,4,7,8,14,15,18,20,23]: although the transformation matrices are well-conditioned, degree reduction by them may be ill-conditioned (see Remark 2). It is an inherent limitation, since the Bernstein coefficients must be transferred to the specific forms before degree reduction and back after degree reduction.…”
Section: Conclusion and Discussionmentioning
confidence: 96%
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“…So, for a given error tolerance, the number of subdivisions cannot be known before degree reduction is conducted. Furthermore, our approach shares the common limitation of known methods using the basis transformation matrices [1,3,4,7,8,14,15,18,20,23]: although the transformation matrices are well-conditioned, degree reduction by them may be ill-conditioned (see Remark 2). It is an inherent limitation, since the Bernstein coefficients must be transferred to the specific forms before degree reduction and back after degree reduction.…”
Section: Conclusion and Discussionmentioning
confidence: 96%
“…In general, degree reduction cannot be done exactly so that it invokes approximation problems. Thus in recent twenty years, many works [1][2][3][4][6][7][8][13][14][15][16]18,20,21,23] relevant to the degree reduction of Bézier curves have been published.…”
Section: Introductionmentioning
confidence: 99%
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“…Also, by computing one more coefficient, the approximating polynomial of degree n can be easily computed from the approximating polynomial of matrix T n , the basis transformation matrices and the degree reduction matrix are derived. The Legendre-Bernstein basis transformation [15] and the Chebyshev-Bernstein basis transformation [17] become special cases.…”
Section: Introductionmentioning
confidence: 99%
“…The Chebyshev polynomials have many applications in science and engineering; the best uniform approximation is characterized by the Chebyshev polynomials of first kind, the weighted least squares approximations are characterized by the relevant weight of Chebyshev polynomials of first, second, third, and fourth kinds. In Computer Aided Design (CAD), the weighted degree reduction of the Bézier curves is handled by the Chebyshev polynomials.For more details about the Chebyshev polynomials of the fourth kind and their applications, see [4,5,12]. Other related applications and properties are found in [13][14][15][16][17][18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%