(Created page with " == Abstract == For Augmented Reality to succeed in industrial appliances, industries demand not only robust and reliable tracking techniques, but also a scalable and perform...")
 
m (Scipediacontent moved page Draft Content 349278675 to Schmitt et al 2016a)
 
(No difference)

Latest revision as of 21:37, 28 January 2021

Abstract

For Augmented Reality to succeed in industrial appliances, industries demand not only robust and reliable tracking techniques, but also a scalable and performant pipeline, that is easy-to-integrate within the existing data- and content environment and that enables vendors to create tracking solutions on their own. In our demo, we present recent advances of our model tracking pipeline and tracking technology, which on the one hand is easy use and easy to integrate, while on the other hand robust enough during difficult environmental conditions and which delivers high accuracy for the industrial domain. We showcase our results inside an AR-manual scenario.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1109/ismar-adjunct.2016.0114
https://dblp.uni-trier.de/db/conf/ismar/ismar2016a.html#WuestEWSK16,
https://academic.microsoft.com/#/detail/2585899104
Back to Top

Document information

Published on 01/01/2016

Volume 2016, 2016
DOI: 10.1109/ismar-adjunct.2016.0114
Licence: CC BY-NC-SA license

Document Score

0

Views 1
Recommendations 0

Share this document

claim authorship

Are you one of the authors of this document?