2014
DOI: 10.1016/j.eswa.2014.04.029
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Wavelets based quantitative design of B-spline curves

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Cited by 3 publications
(3 citation statements)
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“…Furthermore, because B-spline functions F m and F n are already known, if scale factors m and n are determined, then a (n + 3) 3 (m + 3) inner product matrix ½hF n jF m i could be calculated. Assume that E = ½hF n jF m i and X = Q mn , then equation 9is transformed into the solution of null space, as expressed in equation (10). Here, E is the coefficient matrix of null space…”
Section: Description Of Wavelet Constructionmentioning
confidence: 99%
See 1 more Smart Citation
“…Furthermore, because B-spline functions F m and F n are already known, if scale factors m and n are determined, then a (n + 3) 3 (m + 3) inner product matrix ½hF n jF m i could be calculated. Assume that E = ½hF n jF m i and X = Q mn , then equation 9is transformed into the solution of null space, as expressed in equation (10). Here, E is the coefficient matrix of null space…”
Section: Description Of Wavelet Constructionmentioning
confidence: 99%
“…By constructing the length-preserving projection of curves, Wang et al 9 deduced the double-scale subdivision equations of multi-scale functions and multi-scale wavelets, and constructed the multi-wavelets on some smooth plane curves. In order to control the better deformation of the curves and obtain the more accurate modeling, Wang and Zhao 10 initially introduced a new concept of reference index of modeling (RIOM) based on wavelet theory. Compared to traditional algorithms, this one takes RIOM as objective function and objective shape, which can quantitatively evaluate objective function value determined by RIOM and ensure the overall shape of the curve at the same time.…”
Section: Introductionmentioning
confidence: 99%
“…This is an advantage over the traditional algorithms [4,6,7] for multi-resolution representation of one surface. So, the new algorithm can be applied in wavelet-based model editing to filter out unwanted frequency noise while preserving the geometric features of the boundaries [19,20].…”
mentioning
confidence: 99%