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Erschienen in: KI - Künstliche Intelligenz 4/2014

01.11.2014 | Doctoral and Postdoctoral Dissertations

Modeling Reality for Camera Registration in Augmented Reality Applications

verfasst von: Alain Pagani

Erschienen in: KI - Künstliche Intelligenz | Ausgabe 4/2014

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Excerpt

One of the central problems of Augmented Reality is to make reality and virtual objects coincide in some way. Any technique aiming at solving this problem requires an internal way of representing the real objects of interest, i.e. the objects that the system expects to see. We name these representations Reality Models and take in this work a closer look at the various ways of representing reality in the context of AR. We propose a classification of AR applications based on the requirements on Reality Models. AR applications can be first classified into applications where the full 6DOF camera pose is recovered and applications where a 2D object localization in the image space is sufficient. We further detail the classification by providing examples of planar fiducials and textured objects in the first case and object detection and local pose estimation in the second case. In all provided examples we extend the state of the art by providing new Reality Models or better ways to construct and use existing ones. …

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The Scientific journal "KI – Künstliche Intelligenz" is the official journal of the division for artificial intelligence within the "Gesellschaft für Informatik e.V." (GI) – the German Informatics Society - with constributions from troughout the field of artificial intelligence.

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Literatur
1.
Zurück zum Zitat Pagani A (2014) Reality Models for efficient registration in Augmented Reality. Ph.D. thesis, University of Kaiserslautern, Dr. Hut Verlag. Pagani A (2014) Reality Models for efficient registration in Augmented Reality. Ph.D. thesis, University of Kaiserslautern, Dr. Hut Verlag.
2.
Zurück zum Zitat Pagani A, Gava C, Cui Y, Krolla B, Hengen JM, Stricker D (2011) Dense 3D point cloud generation from multiple high-resolution spherical images. In: Proceedings of the International Symposium on Virtual Reality, Archaeology and Cultural Heritage (VAST) Pagani A, Gava C, Cui Y, Krolla B, Hengen JM, Stricker D (2011) Dense 3D point cloud generation from multiple high-resolution spherical images. In: Proceedings of the International Symposium on Virtual Reality, Archaeology and Cultural Heritage (VAST)
3.
Zurück zum Zitat Pagani A, Koehler J, Stricker D (2011) Circular markers for camera pose estimation. In: Proceedings of the International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS) Pagani A, Koehler J, Stricker D (2011) Circular markers for camera pose estimation. In: Proceedings of the International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS)
4.
Zurück zum Zitat Pagani A, Stricker D (2009) Learning local patch orientation with a cascade of sparse regressors. In: Proceedings of the British Machine Vision Conference (BMVC) Pagani A, Stricker D (2009) Learning local patch orientation with a cascade of sparse regressors. In: Proceedings of the British Machine Vision Conference (BMVC)
5.
Zurück zum Zitat Pagani A, Stricker D, Felsberg M (2009) Integral P-channels for fast and robust region matching. In: Proceedings of the IEEE International Conference on Image Processing (ICIP) Pagani A, Stricker D, Felsberg M (2009) Integral P-channels for fast and robust region matching. In: Proceedings of the IEEE International Conference on Image Processing (ICIP)
Metadaten
Titel
Modeling Reality for Camera Registration in Augmented Reality Applications
verfasst von
Alain Pagani
Publikationsdatum
01.11.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
KI - Künstliche Intelligenz / Ausgabe 4/2014
Print ISSN: 0933-1875
Elektronische ISSN: 1610-1987
DOI
https://doi.org/10.1007/s13218-014-0320-5

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