Phase-Based Motion Magnification in outdoor conditions: Robustness and Natural Frequency extraction
Date published
2021-12
Free to read from
2025-07-10
Authors
Supervisor/s
Journal Title
Journal ISSN
Volume Title
Publisher
Cranfield University
Department
SATM
Course name
MSc by Research in Aerospace
Type
Thesis
ISSN
Format
Citation
Abstract
In this study, Phase-Based Motion Magnification is combined with 2D Point Tracking to enhance data extraction under noisy outdoor conditions. The aim is to investigate whether the use of Phase Based Motion Magnification along with 2D PT can increase accuracy of frequencies extracted in robust conditions. The study presents three experiments: a fixed wing on a shaker machine, a light pole and a building. Frequencies are extracted in all three experiments and compared against previous research and finite element analysis. Finally, the study touches on ways to automate the suggested procedure.
Description
Zanotti Fragonara, Luca - Associate Supervisor
Software Description
Software Language
Github
Keywords
2D Point Tracking, Convolutional Neural Networks, Denoising, Automation, data extraction, frequency accuracy
DOI
Rights
© Cranfield University, 2021. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder.