Hybrid markerless augmented reality tracking method for planar surface

Markerless tracking for augmented reality should not only accurate but also fast enough to provide a seamless synchronization between real and virtual beings. Current methods showed that a vision-based tracking is accurate but requires high computational power. This paper proposes a real-time hybrid...

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Main Author:	Afif, Fadhil Noer
Format:	Thesis
Published:	2013
Subjects:	QA76 Computer software
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id	my-utm-ep.41646
record_format	uketd_dc
spelling	my-utm-ep.416462020-06-23T04:38:15Z Hybrid markerless augmented reality tracking method for planar surface 2013 Afif, Fadhil Noer QA76 Computer software Markerless tracking for augmented reality should not only accurate but also fast enough to provide a seamless synchronization between real and virtual beings. Current methods showed that a vision-based tracking is accurate but requires high computational power. This paper proposes a real-time hybrid-based method for tracking unknown environments in markerless augmented reality. The proposed method provides collaboration of vision-based approach with accelerometers and gyroscopes sensors as camera pose predictor. To align the augmentation relative to camera motion, the tracking method is done by substituting feature-based camera estimation with combination of inertial sensors with complementary filter to provide more dynamic response. The proposed method managed to track unknown environment with faster processing time compared to feature-based approach. Moreover, the proposed method can sustain its estimation in a situation where feature-based tracking loses its track. The collaboration of sensor tracking managed to perform the task for about 22,97 FPS, up to five times faster than feature-based tracking method used as comparison. Therefore, the proposed method can be used to track unknown environments without depending on amount of features on scene, while requiring lower computational cost. 2013 Thesis http://eprints.utm.my/id/eprint/41646/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:77754?queryType=vitalDismax&query=Hybrid+markerless+augmented+reality+tracking+method&public=true masters Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	QA76 Computer software
spellingShingle	QA76 Computer software Afif, Fadhil Noer Hybrid markerless augmented reality tracking method for planar surface
description	Markerless tracking for augmented reality should not only accurate but also fast enough to provide a seamless synchronization between real and virtual beings. Current methods showed that a vision-based tracking is accurate but requires high computational power. This paper proposes a real-time hybrid-based method for tracking unknown environments in markerless augmented reality. The proposed method provides collaboration of vision-based approach with accelerometers and gyroscopes sensors as camera pose predictor. To align the augmentation relative to camera motion, the tracking method is done by substituting feature-based camera estimation with combination of inertial sensors with complementary filter to provide more dynamic response. The proposed method managed to track unknown environment with faster processing time compared to feature-based approach. Moreover, the proposed method can sustain its estimation in a situation where feature-based tracking loses its track. The collaboration of sensor tracking managed to perform the task for about 22,97 FPS, up to five times faster than feature-based tracking method used as comparison. Therefore, the proposed method can be used to track unknown environments without depending on amount of features on scene, while requiring lower computational cost.
format	Thesis
qualification_level	Master's degree
author	Afif, Fadhil Noer
author_facet	Afif, Fadhil Noer
author_sort	Afif, Fadhil Noer
title	Hybrid markerless augmented reality tracking method for planar surface
title_short	Hybrid markerless augmented reality tracking method for planar surface
title_full	Hybrid markerless augmented reality tracking method for planar surface
title_fullStr	Hybrid markerless augmented reality tracking method for planar surface
title_full_unstemmed	Hybrid markerless augmented reality tracking method for planar surface
title_sort	hybrid markerless augmented reality tracking method for planar surface
granting_institution	Universiti Teknologi Malaysia, Faculty of Computing
granting_department	Faculty of Computing
publishDate	2013
_version_	1747816589050249216

Hybrid markerless augmented reality tracking method for planar surface

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