Towards The Digital Archive of Cultural Heritages – Preservation and Restoration of Ancestral Assets through Observation – Katsushi

We present an overview of our project to construct a digital archive of cultural heritages. Among the efforts in our project, in this paper, we briefly overview our research on geometric and photometric preservation of cultural assets and restoration of their original appearance. Digital geometric modeling is achieved through a pipeline consisting of scanning, registering and merging multiple range images. For this geometric pipeline, we have developed a robust simultaneous registration method and an efficient and robust voxel based integration method. For photometric modeling, we have developed a surface light field based method, which captures the appearance variation of real world objects under different viewpoints and illumination conditions from a series of images. As an attempt to restore the original appearance of historical heritages, we have reconstructed several buildings and statues that have been lost in the past. In this paper, we overview these techniques and show several results of applying the proposed methods to existing ancestral assets.

[1]  Shree K. Nayar,et al.  Radiometric self calibration , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[2]  Marc Levoy,et al.  Light field rendering , 1996, SIGGRAPH.

[3]  E. Adelson,et al.  The Plenoptic Function and the Elements of Early Vision , 1991 .

[4]  K. Sato,et al.  Range imaging system utilizing nematic liquid crystal mask , 1987 .

[5]  Gavin S. P. Miller,et al.  Lazy Decompression of Surface Light Fields for Precomputed Global Illumination , 1998, Rendering Techniques.

[6]  Katsushi Ikeuchi,et al.  Robust and adaptive integration of multiple range images with photometric attributes , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[7]  Katsushi Ikeuchi,et al.  Object shape and reflectance modeling from observation , 1997, SIGGRAPH.

[8]  Paul Debevec,et al.  Inverse global illumination: Recovering re?ectance models of real scenes from photographs , 1998 .

[9]  F. E. Nicodemus,et al.  Geometrical considerations and nomenclature for reflectance , 1977 .

[10]  Takeshi Naemura,et al.  Efficient Projection of Ray Space for a Ray Based Description of 3-D Real World , 1996 .

[11]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..