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Mobile AR using pre-captured omnidirectional images

Published:19 November 2013Publication History

ABSTRACT

In the field of augmented reality (AR), geometric and photometric registration is routinely achieved in real time. However, real-time geometric registration often leads to misalignment (e.g., jitter and drift) due to the error from camera pose estimation. Due to limited resources on mobile devices, it is also difficult to implement state-of-the-art techniques for photometric registration on mobile AR systems. In order to solve these problems, we developed a mobile AR system in a significantly different way from conventional systems. In this system, captured omnidirectional images and virtual objects are registered geometrically and photometrically in an offline rendering process. The appropriate part of the prerendered omnidirectional AR image is shown to a user through a mobile device with online registration between the real world and the pre-captured image. In order to investigate the validity of our new framework for mobile AR, we conducted experiments using the prototype system on a real site in Todai-ji Temple, a famous world cultural heritage site in Japan.

References

  1. Arai, I., Hori, M., Kawai, N., Abe, Y., Ichikawa, M., Satonaka, Y., Nitta, T., Nitta, T., Fujii, H., Mukai, M., et al. 2010. Pano Umechika: A crowded underground city panoramic view system. In Proc. 7th Int'l Symp. Distributed Computing and Artificial Intelligence (DCAI'10). 173--180.Google ScholarGoogle ScholarCross RefCross Ref
  2. Azuma, R. T. 1997. A survey of augmented reality. Presence: Teleoperators and Virtual Environments 6, 4, 355--385.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Debevec, P. 1998. Rendering synthetic objects into real scenes: Bridging traditional and image-based graphics with global illumination and high dynamic range photography. In Proc. ACM SIGGRAPH'98, 189--198. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Gruber, L., Richter-Trummer, T., and Schmalstieg, D. 2012. Real-time photometric registration from arbitrary geometry. In Proc. 11th IEEE Int'l Symp. Mixed and Augmented Reality (ISMAR'12), 91--97. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Hollerer, T., Feiner, S., and Pavlik, J. 1999. Situated documentaries: Embedding multimedia presentations in the real world. In Proc. 3rd IEEE Int'l Symp. Wearable Computers (ISWC'99), 79--86. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Kán, P., and Kaufmann, H. 2012. High-quality reflections, refractions, and caustics in augmented reality and their contribution to visual coherence. In Proc. 11th IEEE Int'l Symp. Mixed and Augmented Reality (ISMAR'12), 99--108. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Kawai, N., Sato, T., and Yokoya, N. 2009. Image inpainting considering brightness change and spatial locality of textures and its evaluation. In Proc. 3rd Pacific-Rim Symp. Image and Video Technology (PSIVT'09), 271--282. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Klein, G., and Murray, D. 2009. Parallel tracking and mapping on a camera phone. In Proc. 8th IEEE Int'l Symp. Mixed and Augmented Reality (ISMAR'09), 83--86. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Lensing, P., and Broll, W. 2012. Instant indirect illumination for dynamic mixed reality scenes. In Proc. 11th IEEE Int'l Symp. Mixed and Augmented Reality (ISMAR'12), 109--118. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Okura, F., Kanbara, M., and Yokoya, N. 2012. Full spherical high dynamic range imaging from the sky. In Proc. 9th IEEE Int'l Conf. Multimedia and Expo (ICME'12), 325--332. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Reinhard, E., Stark, M., Shirley, P., and Ferwerda, J. 2002. Photographic tone reproduction for digital images. In Proc. ACM SIGGRAPH'02, 267--276. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Taketomi, T., Sato, T., and Yokoya, N. 2011. Real-time and accurate extrinsic camera parameter estimation using feature landmark database for augmented reality. Int'l Journal of Computers and Graphics 35, 4, 768--777. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Tenmoku, R., Kanbara, M., and Yokoya, N. 2004. A positioning method combining specification of users absolute position and dead reckoning for wearable augmented reality systems. In Proc. 3rd CREST/ISWC Workshop on Advanced Computing and Communicating Techniques for Wearable Information Playing, 19--22.Google ScholarGoogle Scholar
  14. Ventura, J., and Hollerer, T. 2012. Wide-area scene mapping for mobile visual tracking. In Proc. 11th IEEE Int'l Symp. Mixed and Augmented Reality (ISMAR'12), 3--12. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Zoellner, M., Keil, J., Drevensek, T., and Wuest, H. 2009. Cultural heritage layers: Integrating historic media in augmented reality. In Proc. 15th Int'l Conf. Virtual Systems and Multimedia (VSMM'09), 193--196. Google ScholarGoogle ScholarDigital LibraryDigital Library

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          cover image ACM Conferences
          SA '13: SIGGRAPH Asia 2013 Symposium on Mobile Graphics and Interactive Applications
          November 2013
          90 pages
          ISBN:9781450326339
          DOI:10.1145/2543651

          Copyright © 2013 ACM

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          Publication History

          • Published: 19 November 2013

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