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AR Cultural Heritage Reconstruction Based on Feature Landmark Database Constructed by Using Omnidirectional Range Sensor

  • Takafumi Taketomi
  • Tomokazu Sato
  • Naokazu Yokoya
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6469)

Abstract

This paper describes an application of augmented reality (AR) techniques to virtual cultural heritage reconstruction on the real sites of defunct constructs. To realize AR-based cultural heritage reconstruction, extrinsic camera parameter estimation is required for geometric registration of real and virtual worlds. To estimate extrinsic camera parameters, we use a pre-constructed feature landmark database of the target environment. Conventionally, a feature landmark database has been constructed in a large-scale environment using a structure -from-motion technique for omnidirectional image sequences. However, the accuracy of estimated camera parameters is insufficient for specific applications like AR-based cultural heritage reconstruction, which needs to overlay CG objects at the position close to the user’s viewpoint. This is due to the difficulty in compensation of the appearance change of close landmarks only from the sparse 3-D information obtained by structure-from-motion. In this paper, visual patterns of landmarks are compensated for by considering local shapes obtained by omnidirectional range finder to find corresponding landmarks existing close to the user. By using these landmarks with local shapes, accurate geometric registration is achieved for AR sightseeing in historic sites.

Keywords

Cultural Heritage Augmented Reality Camera Parameter Target Environment Image Template 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Takafumi Taketomi
    • 1
  • Tomokazu Sato
    • 1
  • Naokazu Yokoya
    • 1
  1. 1.Graduate School of Information ScienceNara Institute of Science and TechnologyIkomaJapan

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