Frustration Free Pose Computation for Spatial AR Devices in Industrial Scenario

Naik H, Bahaa M, Tombari F, Keitler P, Navab N (2017)

Publication Type: Conference contribution

Publication year: 2017

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 121-122

Conference Proceedings Title: Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016

Event location: Merida, Yucatan, MEX

ISBN: 9781509037407

DOI: 10.1109/ISMAR-Adjunct.2016.0056

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.

Involved external institutions

LMU Klinikum DE Germany (DE) University of Bologna / Università di Bologna IT Italy (IT) Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Naik, H., Bahaa, M., Tombari, F., Keitler, P., & Navab, N. (2017). Frustration Free Pose Computation for Spatial AR Devices in Industrial Scenario. In Eduardo Veas, Raphael Grasset, Tobias Langlotz, Alejandro Martin, Jose Martinez-Carranza, Maki Sugimoto (Eds.), Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016 (pp. 121-122). Merida, Yucatan, MEX: Institute of Electrical and Electronics Engineers Inc..

MLA:

Naik, Hemal, et al. "Frustration Free Pose Computation for Spatial AR Devices in Industrial Scenario." Proceedings of the 15th Adjunct IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016, Merida, Yucatan, MEX Ed. Eduardo Veas, Raphael Grasset, Tobias Langlotz, Alejandro Martin, Jose Martinez-Carranza, Maki Sugimoto, Institute of Electrical and Electronics Engineers Inc., 2017. 121-122.

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