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Digital Restoration of Historical Heritage by Reconstruction from Uncalibrated Images

  • Dan Hou
  • Xia Shen
  • Xiaowei Li
  • Yue Liu
  • Yongtian Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3942)

Abstract

A novel digital historical heritage restoration approach is presented in this paper, which is based on photo-realistic 3D reconstruction from uncalibrated image sequences. Original images of the targets, such as statues, buildings, or culture relics, are captured with a hand-held camera and processed in three steps, which consists of preprocessing, sparse reconstruction and dense reconstruction. The reconstructed surface models can be preserved or exhibited as digital copies of the heritage; experimental results show the effectiveness of the proposed approach and its potential to be applied in the field of historical heritage restoration.

Keywords

Projective Structure Stereo Match Bundle Adjustment Reprojection Error Sparse Reconstruction 
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 2006

Authors and Affiliations

  • Dan Hou
    • 1
  • Xia Shen
    • 2
  • Xiaowei Li
    • 1
  • Yue Liu
    • 1
  • Yongtian Wang
    • 1
  1. 1.School of Information Science and TechnologyBeijing Institute of TechnologyBeijingChina
  2. 2.School of StatisticRenmin University of ChinaBeijingChina

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