Path-independent digital image correlation for mobile smart devices

Digital Image Correlation (2D DIC) techniques has been one of the most popular and important research topics in optical processing, and was applied to measure deformation of an object. Over the past three decades, many 2D DIC applications have been deployed into various platforms. However, none or f...

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Main Author: Cai, Lianjiang
Other Authors: Qian Kemao
Format: Final Year Project
Language:English
Published: 2015
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Online Access:http://hdl.handle.net/10356/62796
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-627962023-03-03T20:40:10Z Path-independent digital image correlation for mobile smart devices Cai, Lianjiang Qian Kemao School of Computer Engineering DRNTU::Engineering::Computer science and engineering Digital Image Correlation (2D DIC) techniques has been one of the most popular and important research topics in optical processing, and was applied to measure deformation of an object. Over the past three decades, many 2D DIC applications have been deployed into various platforms. However, none or few of the application have been deployed into mobile devices platform. The Path-independent DIC is a computational heavy algorithm, which is capable of achieving high accuracy, and time efficiency in full-field measurement of deformation by using of Fast Fourier Transform (FFT) to estimate initial guess for Inverse Compositional Gauss-Newton (IC-GN) algorithm. In order to improve the mobility and usability of this algorithm, a mobile application is designed and implemented for users to have an interactive data analysis experience through touch screen image manipulation. Although there is an impression that the mobile devices are limited in the capability to manipulate heavy computational task, this project demonstrates that with current multi-core design of the devices, it is capable to handle the processing of heavy algorithms, which may not be possible in the past. The details of the algorithm used and technical implementation information will be elaborated in this report. Furthermore, the experimental results will also be presented to illustrate correctness and efficiency of this current application. Bachelor of Engineering (Computer Science) 2015-04-29T03:51:57Z 2015-04-29T03:51:57Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/62796 en Nanyang Technological University 60 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Cai, Lianjiang
Path-independent digital image correlation for mobile smart devices
description Digital Image Correlation (2D DIC) techniques has been one of the most popular and important research topics in optical processing, and was applied to measure deformation of an object. Over the past three decades, many 2D DIC applications have been deployed into various platforms. However, none or few of the application have been deployed into mobile devices platform. The Path-independent DIC is a computational heavy algorithm, which is capable of achieving high accuracy, and time efficiency in full-field measurement of deformation by using of Fast Fourier Transform (FFT) to estimate initial guess for Inverse Compositional Gauss-Newton (IC-GN) algorithm. In order to improve the mobility and usability of this algorithm, a mobile application is designed and implemented for users to have an interactive data analysis experience through touch screen image manipulation. Although there is an impression that the mobile devices are limited in the capability to manipulate heavy computational task, this project demonstrates that with current multi-core design of the devices, it is capable to handle the processing of heavy algorithms, which may not be possible in the past. The details of the algorithm used and technical implementation information will be elaborated in this report. Furthermore, the experimental results will also be presented to illustrate correctness and efficiency of this current application.
author2 Qian Kemao
author_facet Qian Kemao
Cai, Lianjiang
format Final Year Project
author Cai, Lianjiang
author_sort Cai, Lianjiang
title Path-independent digital image correlation for mobile smart devices
title_short Path-independent digital image correlation for mobile smart devices
title_full Path-independent digital image correlation for mobile smart devices
title_fullStr Path-independent digital image correlation for mobile smart devices
title_full_unstemmed Path-independent digital image correlation for mobile smart devices
title_sort path-independent digital image correlation for mobile smart devices
publishDate 2015
url http://hdl.handle.net/10356/62796
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