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Conference Paper

Frustration Free Pose Computation For Spatial AR Devices in Industrial Scenario

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Citation

Naik, H., Bahaa, M., Tombari, F., Keitler, P., & Navab, N. (2016). Frustration Free Pose Computation For Spatial AR Devices in Industrial Scenario. In E. {Veas, T. Langlotz, J. Martinezcarranza, R. Grasset, M. Sugimoto, & A. Martin (Eds.), ADJUNCT PROCEEDINGS OF THE 2016 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY (ISMAR-ADJUNCT) (pp. 121-122).


Cite as: https://hdl.handle.net/21.11116/0000-0007-5B91-F
Abstract
The quest for finding the killer application for Industrial Augmented
Reality(IAR) is still active. The existing solutions are ingenious but
most can not be directly integrated with the existing industrial
workflows. Generally, IAR applications require modifications in the
industrial workflows depending on the tracking methodology. These
modifications end up being an overhead for the users and deter them from
using AR solutions. In this poster we propose a resourceful solution to
achieve end-to-end workflow integration with minimum effort from the
user end. The solution is suited for laser guided Spatial Augmented
Reality(SAR) systems mainly preferred for industrial manufacturing
applications. We also introduce a new concept for pose computation,
which is inspired from existing mechanical concept of part alignment.
The accuracy of our method is comparable to the classical marker based
methods. The complete process of pose computation, from initialisation
to refinement, is designed to be plug and play.