2013
DOI: 10.5755/j01.itc.42.4.1707
|View full text |Cite
|
Sign up to set email alerts
|

An Improved Algorithm for the Approximation of a Cubic Bezier Curve and its Application for Approximating Quadratic Bezier Curve

Abstract: In this paper an improved version of an earlier proposed algorithm for approximating cubic Bezier curve by a set of circular arcs is presented. It is investigated how the improved algorithm fits for approximation of quadratic Bezier curves. These issues occur in CAD/CAM systems during data exchange into data formats which do not support Bezier curves. Experimental results on examples, widely used in the sources enlisted in references, are presented. Two typographical errors, made in the previous article, are c… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

0
4
0

Year Published

2014
2014
2022
2022

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 12 publications
(28 reference statements)
0
4
0
Order By: Relevance
“…For each component element, the data points detected directly by the ACE/SIS [STEREO-A/LET] in the original spectrum are relatively sparse. To obtain an extensive spectrum with denser data points, the interpolation with the Bezier Curves method ( 50 ) is applied to the original spectrum of each component element. However, only the nominal values of differential fluxes for these interpolated data points can be acquired based on this method.…”
Section: Resultsmentioning
confidence: 99%
“…For each component element, the data points detected directly by the ACE/SIS [STEREO-A/LET] in the original spectrum are relatively sparse. To obtain an extensive spectrum with denser data points, the interpolation with the Bezier Curves method ( 50 ) is applied to the original spectrum of each component element. However, only the nominal values of differential fluxes for these interpolated data points can be acquired based on this method.…”
Section: Resultsmentioning
confidence: 99%
“…Tables (2) and (3) show the four selected control points for both statements university of technology and computer sciences department in a consecutive manner, whilst figure (2) shows 2D virtual image using Bezier curves for those same statements. 6) and (7) show four selected control points for both university and department of electromechanical engineering statements followed by figure (4) representing 2D virtual image for the same statements. Finally, tables (8) and (9) show four selected control points for both university and department of chemical engineering statements followed by figure (5) representing 2D virtual image for the same statements.…”
Section: Resultsmentioning
confidence: 99%
“…In curve comparison or image matching, for example pattern recognition, curvature [17] is generally used as a feature for characterizing shapes. The curvature at any point of curve can be defined by the inverse of the radius of its osculating circle.…”
Section: Introductionmentioning
confidence: 99%