Article

Development of a real time image based object recognition method for mobile AR-devices

Authors:

Juergen Gausemeier,

Juergen Fruend,

Carsten Matysczok,

Beat Bruederlin,

David BeierAuthors Info & Claims

AFRIGRAPH '03: Proceedings of the 2nd international conference on Computer graphics, virtual Reality, visualisation and interaction in Africa

Pages 133 - 139

https://doi.org/10.1145/602330.602355

Published: 03 February 2003 Publication History

Abstract

In this paper we describe an image based object recognition and tracking method for mobile AR-devices and the correlative process to generate the required data. The object recognition and tracking base on the 3D-geometries of the related objects. Correspondings between live camera images and 3D-models are generated and used to determine the location and orientation of objects in the current scene. The required data for the object recognition is generated from common 3D-CAD-files using a dedicated process model.The object recognition and tracking method as well as the correlative generation process for the needed data are developed within the AR-PDA project. The AR-PDA is a personal digital assistant (e.g. PDA or 3rd generation mobile phone with an integrated camera), which uses AR technology to efficiently support consumers and service forces during their daily tasks.

References

[1]

AR-PDA. http://www.ar-pda.de/

[2]

ARVIKA. http://www.arvika.de/

[3]

Barsky, B., Cheng, F., Sun, J. and Wang, X. 1996. Boundary Representation, Intersection, and Evaluation of NURB Based Non-manifold Objects. In Proceedings of the 1996 ASME Design for Manufacturing Conference (ASME DTC-96 DFMC). August, Irvine, CA.

[4]

Behringer, R., Klinker, G. and Mizell, D. 1999. Augmented Reality - Placing Artificial Objects in Real Scenes. In Proceedings of the IWAR 1998. San Francisco, California.

[5]

Gausemeier, J., Ebbesmeyer, P. and Kallmeyer, F. Produktinnovation - Strategische Planung und Entwicklung der Produkte von morgen. Carl Hanser Verlag.

[6]

Gausemeier, J., Fruend, J. and Matysczok, C. 2002. Development of a Process Model for Efficient Content Creation for Mobile Augmented Reality Applications. In Proceedings of the CAD 2002. Dresden.

Digital Library

[7]

Geiger, C., Kleinjohann, B., Reimann, C. and Stichling, D. 2001. Interaktive VR/AR-Inhalte auf mobilen Endgeraeten, In Informatik 2001, Workshop 22, Synergien zwischen virtueller Realitaet und Computerspielen: Anforderungen, Design, Technologien. Wien.

[8]

Geiger, C., Kleinjohann, B., Reimann, C. and Stichling, D. 2001. Mobile AR4All. In Proceeding of the Second IEEE and ACM International Symposium on Augmented Reality. New York.

Digital Library

[9]

Girod, B., Greiner, G. and Niemann, H. 2000. Principles of 3D Image Analysis and Synthesis. Kluwer Academic Publishers, Boston, USA.

Digital Library

[10]

Kanade, T. and Uenohara, M. 1995. Vision-Based Object Registration for Real-Time Image Overlay. In Proceedings of Computer Vision, Virtual Reality and Robotics in Medicine.

Digital Library

[11]

Lanser, S. and Zierl, C. 1996. On the Use of topological Constraints within Object Recognition Tasks. In ICPR Volume 1.

Digital Library

[12]

Mesihovic, S. and Malmaqvist, J. 2000. Product Data Management (PDM) System Support for the Engineering Configuration Process. In ECAI 2000, Configuration Workshop. Berlin.

[13]

Mirmehdi, M., Palmer, P. L. and Kittler, J. 1998. Optimizing the Complete Image Feature Extraction Chain. In Proceedings of the 3rd Asian Conference on Computer Vision.

Digital Library

[14]

Milgram, P., Takemura, H., Utsumi, A. and Kishino, F. 1994. Augmented Reality: A Class of Displays on the Reality-Virtuality Continuum. In Proceedings of SPIE Conference on Telemanipulator and Telepresence Technologies SPIE. Boston, MA.

[15]

Parker, J. 1997. Algorithms for Images Processing and Computer Vision. John Wiley and Sons, New York, USA.

[16]

Prasad, R., Mohr, W. and Konhaeuser, W. 2000. Third Generation Mobile Communication Systems. Artech House Publishers.

Digital Library

[17]

Rives, G., Dohme, M., Richetin, M. and Lapreste, J.-T. 1989. Determination of the Attitude of 3D-Objects from a Single Perspective view.

Cited By

Qiu YHe XLi ZPeng ZHuang YYu X(2024)Wearable Sensors for Motion and Electrophysiological Signal Tracking in XRKorean Journal of Chemical Engineering10.1007/s11814-024-00227-wOnline publication date: 20-Jul-2024
https://doi.org/10.1007/s11814-024-00227-w
Chatzopoulos DBermejo CHuang ZHui P(2017)Mobile Augmented Reality Survey: From Where We Are to Where We GoIEEE Access10.1109/ACCESS.2017.26981645(6917-6950)Online publication date: 2017
https://doi.org/10.1109/ACCESS.2017.2698164
Nivedha S. Hemalatha S. (2015)Enhancing user experience through physical interaction in handheld Augmented Reality2015 International Conference on Computer Communication and Informatics (ICCCI)10.1109/ICCCI.2015.7218127(1-7)Online publication date: Jan-2015
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cover image ACM Conferences

AFRIGRAPH '03: Proceedings of the 2nd international conference on Computer graphics, virtual Reality, visualisation and interaction in Africa

February 2003

184 pages

ISBN:1581136439

DOI:10.1145/602330

Conference Chairs:
James Gain
University of Cape Town
,
Alan Chalmers
University of Bristol

Copyright © 2003 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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Association for Computing Machinery

New York, NY, United States

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Published: 03 February 2003

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AFRIGRAPH03: 2nd International Conference on Computer Graphics, Virtual Reality, Visualization and Interaction in Africa

February 3 - 5, 2003

Cape Town, South Africa

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AFRIGRAPH '03 Paper Acceptance Rate 24 of 40 submissions, 60%;

Overall Acceptance Rate 47 of 90 submissions, 52%

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Cited By

Qiu YHe XLi ZPeng ZHuang YYu X(2024)Wearable Sensors for Motion and Electrophysiological Signal Tracking in XRKorean Journal of Chemical Engineering10.1007/s11814-024-00227-wOnline publication date: 20-Jul-2024
https://doi.org/10.1007/s11814-024-00227-w
Chatzopoulos DBermejo CHuang ZHui P(2017)Mobile Augmented Reality Survey: From Where We Are to Where We GoIEEE Access10.1109/ACCESS.2017.26981645(6917-6950)Online publication date: 2017
https://doi.org/10.1109/ACCESS.2017.2698164
Nivedha S. Hemalatha S. (2015)Enhancing user experience through physical interaction in handheld Augmented Reality2015 International Conference on Computer Communication and Informatics (ICCCI)10.1109/ICCCI.2015.7218127(1-7)Online publication date: Jan-2015
https://doi.org/10.1109/ICCCI.2015.7218127
(2014)BibliographySemantic Multimedia Analysis and Processing10.1201/b17080-21(421-512)Online publication date: 18-Jun-2014
https://doi.org/10.1201/b17080-21
Altwaijry HMoghimi MBelongie S(2014)Recognizing locations with Google Glass: A case studyIEEE Winter Conference on Applications of Computer Vision10.1109/WACV.2014.6836105(167-174)Online publication date: Mar-2014
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Ruotsalainen LKuusniemi H(2013)Visual Positioning in a SmartphoneImage Processing10.4018/978-1-4666-3994-2.ch030(575-603)Online publication date: 2013
https://doi.org/10.4018/978-1-4666-3994-2.ch030
Kao CJan KChen R(2013)A Cloud-Based Framework to Enhance Augmented RealityProceedings of the 2013 Seventh International Conference on Complex, Intelligent, and Software Intensive Systems10.1109/CISIS.2013.22(78-82)Online publication date: 3-Jul-2013
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Ruotsalainen LKuusniemi H(2012)Visual Positioning in a SmartphoneUbiquitous Positioning and Mobile Location-Based Services in Smart Phones10.4018/978-1-4666-1827-5.ch006(130-158)Online publication date: 2012
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Abate ANarducci FRicciardi S(2012)An augmented interface to audio-video componentsProceedings of the International Working Conference on Advanced Visual Interfaces10.1145/2254556.2254603(254-257)Online publication date: 21-May-2012
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Maamar HBoukerche APetriu E(2012)3-D Streaming Supplying Partner Protocols for Mobile Collaborative Exergaming for HealthIEEE Transactions on Information Technology in Biomedicine10.1109/TITB.2012.220611616:6(1079-1095)Online publication date: 1-Nov-2012
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