Modified progressive iterative approximation techniques for interoperable conversion of QT-Bézier and rational Bézier curve

This paper presents an in-depth evaluation of modified Progressive Iterative Approximation (PIA) methods for basis curve conversion and approximation, addressing critical challenges in Quadratic Trigonometric (QT) Bézier and rational Bézier curves. The novelty of this study lies in the introduction of two distinct modified PIA methods designed to efficiently transform these curves. PIA Type 1 provides a new approach for converting QT-Bézier curves into standard Bézier curves through degree elevation, solving interoperability issues across software platforms. PIA Type 2 introduces a novel method for optimizing the shape parameter m, enabling efficient conversion of rational Bézier curves into QT-Bézier curves. By dynamically adjusting m, PIA Type 2 improves curve approximation without adding extra control points, offering a more efficient alternative to traditional methods that typically increase control points to enhance accuracy. The study demonstrates that PIA Type 1 achieves highly accurate conversions with minimal errors, while PIA Type 2 highlights the significance of selecting the optimal shape parameter for effective transformations. Both methods are grounded in a robust mathematical framework, allowing precise local adjustments and enhancing both accuracy and computational efficiency. These contributions address a critical gap in curve representation by providing flexible and efficient solutions for curve conversion and approximation.

Authors

Publication Details

Journal
Ain Shams Engineering Journal
Published
2025-01-09
DOI
https://doi.org/10.1016/j.asej.2024.103256
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modified progressive iterative approximation techniques for interoperable conversion of QT-Bézier and rational Bézier curve

Md Yushalify Misro, Mattias Nordin
Ain Shams Engineering Journal
Advanced Numerical Analysis Techniques
article

Modified progressive iterative approximation techniques for interoperable conversion of QT-Bézier and rational Bézier curve

Md Yushalify Misro, Mattias Nordin
article en

Abstract

This paper presents an in-depth evaluation of modified Progressive Iterative Approximation (PIA) methods for basis curve conversion and approximation, addressing critical challenges in Quadratic Trigonometric (QT) Bézier and rational Bézier curves. The novelty of this study lies in the introduction of two distinct modified PIA methods designed to efficiently transform these curves. PIA Type 1 provides a new approach for converting QT-Bézier curves into standard Bézier curves through degree elevation, solving interoperability issues across software platforms. PIA Type 2 introduces a novel method for optimizing the shape parameter m, enabling efficient conversion of rational Bézier curves into QT-Bézier curves. By dynamically adjusting m, PIA Type 2 improves curve approximation without adding extra control points, offering a more efficient alternative to traditional methods that typically increase control points to enhance accuracy. The study demonstrates that PIA Type 1 achieves highly accurate conversions with minimal errors, while PIA Type 2 highlights the significance of selecting the optimal shape parameter for effective transformations. Both methods are grounded in a robust mathematical framework, allowing precise local adjustments and enhancing both accuracy and computational efficiency. These contributions address a critical gap in curve representation by providing flexible and efficient solutions for curve conversion and approximation.

Ain Shams Engineering JournalVol. 16(2)
Ministry of Higher Education, Malaysia, Universiti Sains Malaysia
Openalex Percentile: Top 99%
Advanced Numerical Analysis Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.