计算机科学
任务(项目管理)
柜(室)
增强现实
人机交互
跟踪(教育)
磁道(磁盘驱动器)
计算机视觉
人工智能
计算机图形学(图像)
工程类
操作系统
系统工程
心理学
教育学
机械工程
作者
Sebastian Knopp,Philipp Klimant,Robert Schaffrath,Eric Voigt,Rayk Fritzsche,Christoph Allmacher
标识
DOI:10.1109/ismar-adjunct.2019.00030
摘要
Many real world applications for Microsoft HoloLens*-based applications suffer the problem of reliably recognizing and identifying movable objects within an environment. While the HoloLens is perfectly able to discern already known rooms, it still has troubles with reflecting surfaces or identically shaped objects. Using dedicated recognition libraries for each task poses the issue of shared resource access in the rather controlled HoloLens environment-In this poster we present a solution for scenario with hard to track objects and similarly shaped objects for an electrical cabinet assembly task, where the reflective cabinet is tagged with a marker and the prefabricated cables are differentiated by text-based labels.
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