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Digital protection and utilization of Grotto cultural relics

  • role： First author第一作者
  • Affiliation：

    Cultural Heritage Institute, Zhejiang University, Hangzhou 310028, China

  • Email：liminlim@126.com
  • Introduction：李敏，1990年，女，博士，研究方向为计算机视觉、文物数字化。E-mail：liminlim@126.com
LI Min1,  
  • role： Corresponding author通信作者
  • Affiliation：

    Cultural Heritage Institute, Zhejiang University, Hangzhou 310028, China

  • Email：dcy@zju.edu.cn
  • Introduction：刁常宇，1978年，男，副教授，研究方向为文物数字化、计算机视觉、人工智能。E-mail：dcy@zju.edu.cn
DIAO Changyu1*,  
  • Affiliation：

    College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China

GE Yunfei2,  
  • Affiliation：

    College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China

QIU Linshan2,  
  • Affiliation：

    Cultural Heritage Institute, Zhejiang University, Hangzhou 310028, China

LI Li1

résumé

With the rapid development of digital technology, the digital protection and utilization of grotto cultural relics have attracted worldwide attention. We introduce the digitalization of grotto cultural relics from three perspectives, namely, the collection, protection, and utilization of grotto cultural relics. Moreover, it laid special stress on analyzing the applying status of the cutting-edge technology related to the digital protection of these cultural relics. In analyzing the cutting-edge research, we found that digital protection research on grotto temple cultural relics has been formed, which is developing rapidly with the dropping cost of technology.The rapid update of cultural relics digitization technology and endless applications extended the scope of cultural relics digitization technology from the initial digital recording to various applications. Thus, listing all the types of technologies involved in cultural relics digitization is impossible. This study discusses the digital protection and utilization of the cultural relics of the cave temple in recent years, mainly involving the visual information category. Moreover, other technical scopes will not be introduced.The protection and utilization of digitization include protection related to digital recording and the utilization of digitized information. The technologies used by them are different but not completely unrelated. This study classifies and summarizes from the technology perspective. The Longmen Grottoes art mainly includes cave niche architecture, stone sculptures, and stele inscriptions. Cave niche architecture refers to the shape of cave niches, eaves, lintels, wood-like buildings on the walls, stone relief towers, and so on. Therefore, the technology used must also be covered extensively. Next, this study mainly introduces 3D information acquisition technology and 3D printing.However, current research topics remain relatively scattered, hence a complete system has not yet been formed. Domestic research also has problems, such as convergence of research perspectives and lack of international exchanges. Finally, through the introduction and analysis of the classic cases of Yungang Grottoes and Longmen Grottoes, the paper explores the future trends and provides relevant technology and application suggestions.The success of the two cases also shows that the digital work of the cave temple is the result of the cross integration of multiple technologies and multiple, and that over emphasis on a certain technology often fails to solve practical problems. How to deeply mine the effective information of the collected data, and flexibly use VR, AR, and artificial intelligence, and other related technologies to use and inherit the cave temple culture is a hot research trend in the future.

mots-clés

remote sensing;digitization;cultural relics;Grotto Temple and Ancient Architecture Archeology;three dimensional modeling;three dimensional printing;Color Science

References

  1. 1.
    Aloimonos J. 1988. Shape from texture. Biological Cybernetics, 58(5): 345-360
  2. 2.
    Diao C Y and Li Z R. 2018. High-fidelity digitalization and application of stone cultural relics. China Cultural Heritage, (4): 61-67
  3. 3.
    Hideo Kodama. 1981. A scheme for three-dimensional display by automatic fabrication of three-dimensional model. IEICE TRANSACTIONS on Electronics (Japanese Edition), J64-C(4): 237-241
  4. 4.
    Horn B K P. 1989. Obtaining shape from shading information//Shape from Shading. Cambridge, MA, USA: MIT Press: 123-171
  5. 5.
    Kaiser M L, Kucera T A, Davila J M, St Cyr O C, Guhathakurta M and Christian E. 2008. The STEREO mission: an introduction//Russell C T, ed. The STEREO Mission. New York: Springer: 5-16
  6. 6.
    Li M, Zhou Z L, Wu Z, Shi B X, Diao C Y and Tan P. 2020. Multi-view photometric stereo: a robust solution and benchmark dataset for spatially varying isotropic materials. IEEE Transactions on Image Processing, 29: 4159-4173
  7. 7.
    Liu Z H, Diao C Y, Xing W and Lu D M. 2019. Critical parameter consensus for efficient distributed bundle adjustment//Proceedings of the 14th International joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP. Prague, Czech Republic: [s.n.]: 800-807
  8. 8.
    Marr D and Poggio T. 1976. Cooperative computation of stereo disparity. Science, 194(4262): 283-287
  9. 9.
    Martin W N and Aggarwal J K. 1983. Volumetric descriptions of objects from multiple views. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-5(2): 150-158
  10. 10.
    Mytum H and Peterson J R. 2018. The application of reflectance transformation imaging (RTI) in historical archaeology. Historical Archaeology, 52(2): 489-503
  11. 11.
    Nikolov I and Madsen C. 2016. Benchmarking close-range structure from motion 3D reconstruction software under varying capturing conditions//Proceedings of the 6th International Conference, EuroMed 2016. Nicosia, Cyprus: Springer: 15-26
  12. 12.
    Okutomi M and Kanade T. 1993. A multiple-baseline stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(4): 353-363
  13. 13.
    Posdamer J L and Altschuler M D. 1982. Surface measurement by space-encoded projected beam systems. Computer Graphics and Image Processing, 18(1): 1-17
  14. 14.
    Salvi J, Pagès J and Batlle J. 2004. Pattern codification strategies in structured light systems. Pattern Recognition, 37(4): 827-849
  15. 15.
    Schönberger J L, Zheng E L, Frahm J M and Pollefeys M. 2016. Pixelwise view selection for unstructured multi-view stereo//Proceedings of the 14th European Conference on Computer Vision. Amsterdam, The Netherlands: Springer: 501-518
  16. 16.
    Schroer C and Mudge M. 2017. A context metadata collection and management tool for computational photography projects//Archiving Conference, Archiving 2017 Final Program and Proceedings. [s.l.]: Society for Imaging Science and Technology: 99-104
  17. 17.
    Seitz S M, Curless B, Diebel J, Scharstein D and Szeliski R. 2006. A comparison and evaluation of multi-view stereo reconstruction algorithms//2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06). New York, NY, USA: IEEE: 519-528
  18. 18.
    Snavely N, Steven S M and Szeliski R. 2006. Photo tourism: exploring photo collections in 3D. ACM Transactions on Graphics, 25(3): 835-846
  19. 19.
    Tomasi C and Kanade T. 1992. Shape and motion from image streams under orthography: a factorization method. International Journal of Computer Vision, 9(2): 137-154
  20. 20.
    Triggs B, McLauchlan P F, Hartley R I and Fitzgibbon A W. 2000. Bundle adjustment - a modern synthesis//International Workshop on Vision Algorithms. Corfu, Greece: Springer: 298-372
  21. 21.
    Vlachos M, Berger L, Mathelier R, Agrafiotis P and Skarlatos D. 2019. Software comparison for underwater archaeological photogrammetric applications. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2-W15: 1195-1201
  22. 22.
    Wiley W C and McLaren I H. 1955. Time-of-flight mass spectrometer with improved resolution. Review of Scientific Instruments, 26(12): 1150-1157
  23. 23.
    Woodham R J. 1979. Photometric stereo: a reflectance map technique for determining surface orientation from image intensity//Proceedings Volume 0155, Image Understanding Systems and Industrial Applications I. San Diego, United States: SPIE: 136-144

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