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Computers 2018, 7(1), 6; https://doi.org/10.3390/computers7010006

6DoF Object Tracking based on 3D Scans for Augmented Reality Remote Live Support

1
German Research Center for Artificial Intelligence (DFKI), Augmented Vision Department, 67663 Kaiserslautern, Germany
2
Bosch Rexroth AG, Research and Development, 97816 Lohr am Main, Germany
3
Robert Bosch GmbH, Corporate Research Department, 71272 Renningen, Germany
Current address: Trippstadterstr. 122 D-67663 Kaiserslautern, Germany
*
Author to whom correspondence should be addressed.
Received: 30 November 2017 / Revised: 22 December 2017 / Accepted: 29 December 2017 / Published: 2 January 2018
(This article belongs to the Special Issue Advances in Mobile Augmented Reality)
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Abstract

Tracking the 6DoF pose of arbitrary 3D objects is a fundamental topic in Augmented Reality (AR) research, having received a large amount of interest in the last decades. The necessity of accurate and computationally efficient object tracking is evident for a broad base of today’s AR applications. In this work we present a fully comprehensive pipeline for 6DoF Object Tracking based on 3D scans of objects, covering object registration, initialization and frame to frame tracking, implemented to optimize the user experience and to perform well in all typical challenging conditions such as fast motion, occlusions and illumination changes. Furthermore, we present the deployment of our tracking system in a Remote Live Support AR application with 3D object-aware registration of annotations and remote execution for delay and performance optimization. Experimental results demonstrate the tracking quality, real-time capability and the advantages of remote execution for computationally less powerful mobile devices. View Full-Text
Keywords: augmented reality; object tracking; 6DoF pose; remote live support; edge computing augmented reality; object tracking; 6DoF pose; remote live support; edge computing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Rambach, J.; Pagani, A.; Schneider, M.; Artemenko, O.; Stricker, D. 6DoF Object Tracking based on 3D Scans for Augmented Reality Remote Live Support. Computers 2018, 7, 6.

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