The cuspidal curve from the intersection of bisector

Zulkaini, Nurzulaikha and Raseli, Siti Sarah (2023) The cuspidal curve from the intersection of bisector. In: Research Exhibition in Mathematics and Computer Sciences (REMACS 6.0). Faculty of Computer and Mathematical Sciences, UiTM Cawangan Perlis, pp. 217-218. ISBN 978-629-97440-5-4

Abstract

Bezier curves, especially quartic Bezier curves, are used in the study to help create cuspidal curves. The goal is to design a cuspidal curve and calculate the control points of the quartic Bezier curve using the bisector of a triangle. To construct cuspidal curves, a novel technique is presented that blends quartic Bezier curves with the intersection of angle bisectors. Mathematical computations and geometric transformations are used to precisely calculate the sites of bisector crossings and create the related quartic Bezier curves. Control points on the triangle are defined using the intersection of angle bisectors, and the control points necessary to create the quartic Bezier curve are determined. By presenting a unique approach to creating cuspidal curves using quartic Bezier curves and angle bisector intersections, this paper contributes significantly to curve theory and singularity analysis. The discoveries provide to a better knowledge of the evolution and characteristics of cuspidal curves, as well as significant insights for applications in computer graphics, industrial design, and robotics.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Zulkaini, Nurzulaikha
UNSPECIFIED
Raseli, Siti Sarah
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Geometry. Trigonometry. Topology
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences
Page Range: pp. 217-218
Keywords: Cuspidal curve, quartic bezier curve, intersection of bisector, mathematical computations, geometric properties.
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/138979
Edit Item
Edit Item

Download

[thumbnail of 138979.pdf] Text
138979.pdf

Download (76kB)

ID Number

138979

Indexing

Statistic

Statistic details