文章基本信息

标题：6DoF Object Tracking based on 3D Scans for Augmented Reality Remote Live Support
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作者：Jason Rambach ; Alain Pagani
期刊名称：Computers
电子版ISSN：2073-431X
出版年度：2018
卷号：7
期号：1
页码：6
DOI：10.3390/computers7010006
语种：English
出版社：MDPI Publishing
摘要：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.
关键词：augmented reality; object tracking; 6DoF pose; remote live support; edge computing augmented reality ; object tracking ; 6DoF pose ; remote live support ; edge computing