Frustration Free Pose Computation for Spatial AR Devices in Industrial Scenario

Hemal Naik; Mahmoud Bahaa; Federico Tombari; Peter Keitler; Nassir Navab

doi:10.1109/ISMAR-Adjunct.2016.0056

Frustration Free Pose Computation for Spatial AR Devices in Industrial Scenario

Hemal Naik, Mahmoud Bahaa, Federico Tombari, Peter Keitler, Nassir Navab

Informatics 16 - Chair of Computer Aided Medical Procedures

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016
Editors	Eduardo Veas, Raphael Grasset, Tobias Langlotz, Alejandro Martin, Jose Martinez-Carranza, Maki Sugimoto
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	121-122
Number of pages	2
ISBN (Electronic)	9781509037407
DOIs	https://doi.org/10.1109/ISMAR-Adjunct.2016.0056
State	Published - 30 Jan 2017
Event	15th Adjunct IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016 - Merida, Yucatan, Mexico Duration: 18 Sep 2016 → 23 Sep 2016

Publication series

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

Conference

Conference	15th Adjunct IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016
Country/Territory	Mexico
City	Merida, Yucatan
Period	18/09/16 → 23/09/16

Keywords

Alignment
Industrial AR
Laser
Manufacturing
Production
Stereo

Access to Document

10.1109/ISMAR-Adjunct.2016.0056

Cite this

Naik, H., Bahaa, M., Tombari, F., Keitler, P., & Navab, N. (2017). Frustration Free Pose Computation for Spatial AR Devices in Industrial Scenario. In E. Veas, R. Grasset, T. Langlotz, A. Martin, J. Martinez-Carranza, & M. Sugimoto (Eds.), Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016 (pp. 121-122). Article 7836477 (Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISMAR-Adjunct.2016.0056

Naik, Hemal ; Bahaa, Mahmoud ; Tombari, Federico et al. / Frustration Free Pose Computation for Spatial AR Devices in Industrial Scenario. Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016. editor / Eduardo Veas ; Raphael Grasset ; Tobias Langlotz ; Alejandro Martin ; Jose Martinez-Carranza ; Maki Sugimoto. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 121-122 (Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016).

@inproceedings{f39dc25d67a94e58a4c542bd4b1a6a8d,

title = "Frustration Free Pose Computation for Spatial AR Devices in Industrial Scenario",

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.",

keywords = "Alignment, Industrial AR, Laser, Manufacturing, Production, Stereo",

author = "Hemal Naik and Mahmoud Bahaa and Federico Tombari and Peter Keitler and Nassir Navab",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 15th Adjunct IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016 ; Conference date: 18-09-2016 Through 23-09-2016",

year = "2017",

month = jan,

day = "30",

doi = "10.1109/ISMAR-Adjunct.2016.0056",

language = "English",

series = "Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "121--122",

editor = "Eduardo Veas and Raphael Grasset and Tobias Langlotz and Alejandro Martin and Jose Martinez-Carranza and Maki Sugimoto",

booktitle = "Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016",

}

Naik, H, Bahaa, M, Tombari, F, Keitler, P & Navab, N 2017, Frustration Free Pose Computation for Spatial AR Devices in Industrial Scenario. in E Veas, R Grasset, T Langlotz, A Martin, J Martinez-Carranza & M Sugimoto (eds), Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016., 7836477, Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016, Institute of Electrical and Electronics Engineers Inc., pp. 121-122, 15th Adjunct IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016, Merida, Yucatan, Mexico, 18/09/16. https://doi.org/10.1109/ISMAR-Adjunct.2016.0056

Frustration Free Pose Computation for Spatial AR Devices in Industrial Scenario. / Naik, Hemal; Bahaa, Mahmoud; Tombari, Federico et al.
Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016. ed. / Eduardo Veas; Raphael Grasset; Tobias Langlotz; Alejandro Martin; Jose Martinez-Carranza; Maki Sugimoto. Institute of Electrical and Electronics Engineers Inc., 2017. p. 121-122 7836477 (Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Frustration Free Pose Computation for Spatial AR Devices in Industrial Scenario

AU - Naik, Hemal

AU - Bahaa, Mahmoud

AU - Tombari, Federico

AU - Keitler, Peter

AU - Navab, Nassir

PY - 2017/1/30

Y1 - 2017/1/30

N2 - 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.

AB - 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.

KW - Alignment

KW - Industrial AR

KW - Laser

KW - Manufacturing

KW - Production

KW - Stereo

UR - http://www.scopus.com/inward/record.url?scp=85015174278&partnerID=8YFLogxK

U2 - 10.1109/ISMAR-Adjunct.2016.0056

DO - 10.1109/ISMAR-Adjunct.2016.0056

M3 - Conference contribution

AN - SCOPUS:85015174278

T3 - Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016

SP - 121

EP - 122

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

A2 - Veas, Eduardo

A2 - Grasset, Raphael

A2 - Langlotz, Tobias

A2 - Martin, Alejandro

A2 - Martinez-Carranza, Jose

A2 - Sugimoto, Maki

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th Adjunct IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016

Y2 - 18 September 2016 through 23 September 2016

ER -

Naik H, Bahaa M, Tombari F, Keitler P, Navab N. Frustration Free Pose Computation for Spatial AR Devices in Industrial Scenario. In Veas E, Grasset R, Langlotz T, Martin A, Martinez-Carranza J, Sugimoto M, editors, Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 121-122. 7836477. (Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016). doi: 10.1109/ISMAR-Adjunct.2016.0056

Frustration Free Pose Computation for Spatial AR Devices in Industrial Scenario

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this