An iOS application on digital image correlation

In recent development of science and engineering, Digital Image Correlation (DIC) has been found to be a convenient and powerful way to evaluate displacement in various measurement tasks. There are a few outstanding algorithms in both academic aspects and industrial fields, which have been continuou...

Full description

Saved in:
Bibliographic Details
Main Author: Lin, Jun
Other Authors: Qian Kemao
Format: Final Year Project
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/63073
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-63073
record_format dspace
spelling sg-ntu-dr.10356-630732023-03-03T20:55:32Z An iOS application on digital image correlation Lin, Jun Qian Kemao School of Computer Engineering Game Lab DRNTU::Engineering::Computer science and engineering::Software::Software engineering In recent development of science and engineering, Digital Image Correlation (DIC) has been found to be a convenient and powerful way to evaluate displacement in various measurement tasks. There are a few outstanding algorithms in both academic aspects and industrial fields, which have been continuously refined and enhanced, showing high performance and accuracy. However, most of the algorithms are running on a desktop or workstation system, making them inconvenient to utilise from a mobile computation- enable device such as a mobile phone or a tablet. This report will discuss the design and implementation process on an iOS (Apple’s mobile device operating system) application that takes the advantage of a well-developed DIC algorithm on PC platform and transforms it into an elegant mobile application, based on the powerful Cocoa Touch framework and Xcode, the integrated development environment, provided by Apple. This report also provides the performance metrics for the algorithm running on the mobile devices, namely an iPhone 5S, an iPad Air 2, and an iPad mini 2. Finally, a summary of the feature highlights, limitations and future improvements will be given as well. Bachelor of Engineering (Computer Science) 2015-05-05T08:43:23Z 2015-05-05T08:43:23Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/63073 en Nanyang Technological University 55 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::Software::Software engineering
spellingShingle DRNTU::Engineering::Computer science and engineering::Software::Software engineering
Lin, Jun
An iOS application on digital image correlation
description In recent development of science and engineering, Digital Image Correlation (DIC) has been found to be a convenient and powerful way to evaluate displacement in various measurement tasks. There are a few outstanding algorithms in both academic aspects and industrial fields, which have been continuously refined and enhanced, showing high performance and accuracy. However, most of the algorithms are running on a desktop or workstation system, making them inconvenient to utilise from a mobile computation- enable device such as a mobile phone or a tablet. This report will discuss the design and implementation process on an iOS (Apple’s mobile device operating system) application that takes the advantage of a well-developed DIC algorithm on PC platform and transforms it into an elegant mobile application, based on the powerful Cocoa Touch framework and Xcode, the integrated development environment, provided by Apple. This report also provides the performance metrics for the algorithm running on the mobile devices, namely an iPhone 5S, an iPad Air 2, and an iPad mini 2. Finally, a summary of the feature highlights, limitations and future improvements will be given as well.
author2 Qian Kemao
author_facet Qian Kemao
Lin, Jun
format Final Year Project
author Lin, Jun
author_sort Lin, Jun
title An iOS application on digital image correlation
title_short An iOS application on digital image correlation
title_full An iOS application on digital image correlation
title_fullStr An iOS application on digital image correlation
title_full_unstemmed An iOS application on digital image correlation
title_sort ios application on digital image correlation
publishDate 2015
url http://hdl.handle.net/10356/63073
_version_ 1759855950411333632