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International Journal of Computer Vision

, Volume 75, Issue 1, pp 189–208 | Cite as

The Great Buddha Project: Digitally Archiving, Restoring, and Analyzing Cultural Heritage Objects

  • Katsushi Ikeuchi
  • Takeshi Oishi
  • Jun Takamatsu
  • Ryusuke Sagawa
  • Atsushi Nakazawa
  • Ryo Kurazume
  • Ko Nishino
  • Mawo Kamakura
  • Yasuhide Okamoto
Article

Abstract

This paper presents an overview of our research project on digital preservation of cultural heritage objects and digital restoration of the original appearance of these objects. As an example of these objects, this project focuses on the preservation and restoration of the Great Buddhas. These are relatively large objects existing outdoors and providing various technical challenges. Geometric models of the great Buddhas are digitally achieved through a pipeline, consisting of acquiring data, aligning multiple range images, and merging these images. We have developed two alignment algorithms: a rapid simultaneous algorithm, based on graphics hardware, for quick data checking on site, and a parallel alignment algorithm, based on a PC cluster, for precise adjustment at the university. We have also designed a parallel voxel-based merging algorithm for connecting all aligned range images. On the geometric models created, we aligned texture images acquired from color cameras. We also developed two texture mapping methods. In an attempt to restore the original appearance of historical objects, we have synthesized several buildings and statues using scanned data and a literature survey with advice from experts.

Keywords

cultural heritage range data alignment merging texturing 

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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Katsushi Ikeuchi
    • 1
  • Takeshi Oishi
    • 1
  • Jun Takamatsu
    • 1
  • Ryusuke Sagawa
    • 1
  • Atsushi Nakazawa
    • 1
  • Ryo Kurazume
    • 1
  • Ko Nishino
    • 1
  • Mawo Kamakura
    • 1
  • Yasuhide Okamoto
    • 1
  1. 1.University of TokyoTokyoJapan

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