Research on compound twill generation algorithm based on moving matrix
Xiaobo Yang, Helen Howard, Giulia Pascoletti, Giulia Pascoletti, Giulia Pascoletti
TL;DR
This paper introduces a new algorithm for generating compound twill patterns using a moving matrix to improve fabric simulation accuracy.
Contribution
A novel moving matrix algorithm for compound twill generation with higher efficiency and lower error than existing methods.
Findings
The proposed algorithm achieved 96.8% average fitting accuracy, outperforming Hilbert and Bezier curve algorithms.
The algorithm's efficiency was nearly 40% higher than other mainstream methods.
The average error of the algorithm was 33% less than competing approaches.
Abstract
To further enhance the authenticity of yarn simulation, we propose an algorithm for generating Compound Twills based on a moving matrix. Firstly, the key to designing composite twill is to determine the fly count. When the fly count of the twill is constantly changing, a composite twill can be obtained. Therefore, by utilizing the constantly changing characteristics of the fly count of the composite twill, a composite twill movement matrix model is established. Then, using this model, the appearance shape of complex fabrics can be reconstructed starting from simple composite twill. Finally, the Hilbert curve generation algorithm, the Bezier curve generation algorithm, and the proposed mobile matrix algorithm are selected for comparative experiments. After completing 8 steps of fitting for each of the three algorithms, their fitting accuracy is calculated. The average fitting accuracy of…
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Taxonomy
TopicsTextile materials and evaluations · Industrial Vision Systems and Defect Detection · 3D Shape Modeling and Analysis