Resource independent marker based augmented reality using quick response code

This thesis proposes the use of QR code as a medium to store 3D model information and textures. This will make the AR system independent of storage and internet connection. Hence, this system is called the Resource Independent Marker based Augmented Reality (RIMBAR). Different models formats are tes...

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Main Author: Suhaifi, Syazani
Format: Thesis
Published: 2013
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spelling my-mmu-ep.57862014-10-21T09:30:32Z Resource independent marker based augmented reality using quick response code 2013-07 Suhaifi, Syazani HF Commerce QA75.5-76.95 Electronic computers. Computer science This thesis proposes the use of QR code as a medium to store 3D model information and textures. This will make the AR system independent of storage and internet connection. Hence, this system is called the Resource Independent Marker based Augmented Reality (RIMBAR). Different models formats are tested to find out the optimal format for 3D model and texture storage. Currently available text compression algorithms are then applied to test its effectiveness in reducing the size of the data. An exploitable redundancy test is carried out to find out the patterns of exploitable redundancy that can be used to shrink the data further. Based on the findings of the exploitable redundancy test, multiple compression methods are applied to the texts to provide better text compression compared to the current algorithms. The combination of this compression method is called the RIMBAR algorithm and RIMBAR 2 Algorithm. For information that still would not fit, it is split to multiple QR codes. A new way to detect multiple QR codes in the AR environment is created to support the tracking of multiple QR codes for Augmented Reality. 2013-07 Thesis http://shdl.mmu.edu.my/5786/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php masters Multimedia University Faculty of Computing and Informatics
institution Multimedia University
collection MMU Institutional Repository
topic HF Commerce
HF Commerce
spellingShingle HF Commerce
HF Commerce
Suhaifi, Syazani
Resource independent marker based augmented reality using quick response code
description This thesis proposes the use of QR code as a medium to store 3D model information and textures. This will make the AR system independent of storage and internet connection. Hence, this system is called the Resource Independent Marker based Augmented Reality (RIMBAR). Different models formats are tested to find out the optimal format for 3D model and texture storage. Currently available text compression algorithms are then applied to test its effectiveness in reducing the size of the data. An exploitable redundancy test is carried out to find out the patterns of exploitable redundancy that can be used to shrink the data further. Based on the findings of the exploitable redundancy test, multiple compression methods are applied to the texts to provide better text compression compared to the current algorithms. The combination of this compression method is called the RIMBAR algorithm and RIMBAR 2 Algorithm. For information that still would not fit, it is split to multiple QR codes. A new way to detect multiple QR codes in the AR environment is created to support the tracking of multiple QR codes for Augmented Reality.
format Thesis
qualification_level Master's degree
author Suhaifi, Syazani
author_facet Suhaifi, Syazani
author_sort Suhaifi, Syazani
title Resource independent marker based augmented reality using quick response code
title_short Resource independent marker based augmented reality using quick response code
title_full Resource independent marker based augmented reality using quick response code
title_fullStr Resource independent marker based augmented reality using quick response code
title_full_unstemmed Resource independent marker based augmented reality using quick response code
title_sort resource independent marker based augmented reality using quick response code
granting_institution Multimedia University
granting_department Faculty of Computing and Informatics
publishDate 2013
_version_ 1747829591636967424