Hololens AR - Using Vuforia-based marker tracking together with text recognition in an assembly scenario

被引：8

作者：

Knopp, Sebastian ^{[1
]}

Klimant, Philipp ^{[1
]}

Schaffrath, Robert ^{[2
]}

Voigt, Eric ^{[2
]}

Fritzsche, Rayk ^{[2
]}

Allmacher, Christoph ^{[1
]}

机构：

[1] Tech Univ Chemnitz, Inst Machine Tools & Prod Proc, Chemnitz, Germany

[2] IWU, Fraunhofer Inst Machine Tools & Forming Technol, Chemnitz, Germany

来源：

ADJUNCT PROCEEDINGS OF THE 2019 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY (ISMAR-ADJUNCT 2019) | 2019年

关键词：

HoloLens; AR; Vuforia; Text recognition; Application showcase; Applied computing; Industry and manufacturing; Human-centered computing; Augmented Reality; Computer systems organization; Distributed architectures;

D O I：

10.1109/ISMAR-Adjunct.2019.00030

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：63 / 64

页数：2

共 5 条

[1]

Aleksy Markus, 2018, 2018 IEEE 32 INT C A

[2]

Haller Michael, 2006, EMERGING TECHNOLOGIE, P34

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Hu, S. J. ;

Zhu, X. ;

Wang, H. ;

Koren, Y. .

CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2008, 57 (01) :45-48

[4]

Nicolai Tom, 2006, PERV COMP COMM WORKS

[5]

PETERS P, 2016, DEV MICROSOFT HOLOLE, P153

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