Date of Award
2023
Document Type
Thesis
Terms of Use
© 2023 Michelle Zhuang. This work is freely available courtesy of the author. It may be used under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. For all other uses, please contact the copyright holder.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Degree Name
Bachelor of Arts
Department
Engineering Department
First Advisor
Matthew A. Zucker
Abstract
This senior design project is the application of computer vision to project sewing patterns onto fabric. Utilizing key concepts of computer vision such as homographies, affine transformations, keypoint detection, and feature mapping a final demonstration script has been implemented to project patterns onto fabric in real time. Keypoints are detected from real time camera feed of the fabric’s movement to establish the affine transformation between the two. The projected pattern can then be warped to fit the fabric’s new position. This project aims to be a solution better than the current system, which requires tracing and then cutting patterns onto fabric, by allowing patterns to directly be projected onto the fabric, shifting as necessary.
Recommended Citation
Zhuang, Michelle , '23, "Application of Computer Vision to Project Sewing Patterns onto Fabric" (2023). Senior Theses, Projects, and Awards. 302.
https://works.swarthmore.edu/theses/302