Skip to main content
Log in

Modeling Reality for Camera Registration in Augmented Reality Applications

  • Doctoral and Postdoctoral Dissertations
  • Published:
KI - Künstliche Intelligenz Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

References

  1. Pagani A (2014) Reality Models for efficient registration in Augmented Reality. Ph.D. thesis, University of Kaiserslautern, Dr. Hut Verlag.

  2. 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. 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. 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. 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)

Download references

Acknowledgments

This work was partially funded by the German BMBF project DENSITY (01IW12001).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alain Pagani.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pagani, A. Modeling Reality for Camera Registration in Augmented Reality Applications. Künstl Intell 28, 321–324 (2014). https://doi.org/10.1007/s13218-014-0320-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13218-014-0320-5

Keywords

Navigation