Case study of virtual reconstruction of the Wkryujście Altar based on the structured light projection

• Autorzy: Specjalny B. , Mantiuk R.
• Języki publikacji: EN

Abstrakty

EN

In this paper we present case study of virtual reconstruction of the Wkryujście Altar, one of the greatest cultural heritage both Polish and German nations in West Pomeranian region in Poland. We analyze main strategies of recovering of the 3D shape of a physical object and recommend the structured light projection technique as the most suitable for the Altar. By illuminating the surface with images consisting of a light pattern, the correspondence between projector and camera pixels can be uniquely identified. Recovering transformations of the pattern pixel, it is possible to capture a 3-D point on the surface of an object. The structured light projection technique doesn’t require expensive hardware and satisfactory results can be achieved using off-the-shelf equipment. We built basic form of the structured light hardware setup and conducted a case study of measurement fidelity. The achieved results are presented in the paper together with discussion of using structured light projection to reconstruct cultural heritage objects.

Słowa kluczowe

EN

virtual reconstruction of cultural heritage; 3D scanners; structured light projection; depth from photograph

PL

wirtualna rekonstrukcja dziedzictwa kulturowego; skanery 3D; projekcja światła strukturalnego; głębokość z fotografii

• Wydawca: Komisja Informatyki Polskiej Akademii Nauk, Oddział w Gdańsku
• Czasopismo: Metody Informatyki Stosowanej
• Rocznik: 2010
• Tom: nr 1 (22)
• Strony: 163--173
• Opis fizyczny: Bibliogr. 17 poz., rys.

Twórcy

autor

Specjalny B.

autor

Mantiuk R.

• West Pomeranian University of Technology in Szczecin, Poland

Bibliografia

• [1] F. Blais. Review of 20 years of range sensor development. Journal of Electronic Imaging, 13(1):231, 2004.
• [2] U. Albrecht. Po 60 latach znowu razem . . . , Zmienne koleje losu ołtarza z Wkryujścia (in Polish). 2009.
• [3] The Venice Charter - International Charter for the Conservation and Restoration of Monuments and Sites. Venice, 1964.
• [4] S. Seitz, B. Curless, J. Diebel, D. Scharstein, R. Szeliski. A comparison and evaluation of multi-view stereo reconstruction algorithms. Proc. of CVPR’06, 2006.
• [5] K. Miler. Rekonstrukcja wirtualnych modeli obiektów muzealnych (in Polish). Master’s thesis, West Pomeranian University of Technology, 2009.
• [6] M. Levoy, K. Pulli, B. Curless, S. Rusinkiewicz, D. Koller, L. Pereira, M. Ginzton, S. Anderson, J. Davis, J. Ginsberg, J. Shade, D. Fulk. The Digital Michelangelo Project 3D Scanning of Large Statues. ACM SIGGRAPH Computer Graphics, pp. 131–144, 2000.
• [7] N. Williams, C. Hantak, K.-L. Low, J. Thomas, K. Keller, L. Nyland, D. Luebke, A. Lastra. Monticello Through the Window. 4th International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage, 2003.
• [8] J. Salvi, J. Pages, J. Batlle. Pattern codification strategies in structured light systems. Pattern Recognition, 37:827–849, 2004.
• [9] B. Curless. From range scans to 3D models. ACM SIGGRAPH Computer Graphics, 33(4):38–41, November 1999.
• [10] D. Lanman, D. Crispell, G. Taubin. Surround structured lighting: 3-D scanning with orthographic illumination. Computer Vision and Image Understanding, 113(11):1107–1117, 2009.
• [11] E. Epstein, M. Granger-Piche, P. Poulin. Exploiting mirrors in interactive reconstruction with structured light. Vision, Modeling, and Visualization, pp. 125–132, 2004.
• [12] S. Rusinkiewicz, O. Hall-Holt, M. Levoy. Real-time 3D Model Acquisition. ACM SIGGRAPH Transactions on Graphics, 2002.
• [13] P. Wiki. http://psychtoolbox.org.
• [14] R. Gonzlez, R. E. Woods, S. Eddins. Digital Image processing using MATLAB. 2009.
• [15] Z. Zhang. Iterative Point Matching for Registration of Free-Form Curves. Int. J. Comput. Vision, 13(2):119–152, 1994.
• [16] S. Zhang, P. Huang. Novel method for structured light system calibration. Optical Engineering, 45(8):083601, 2006.
• [17] J.-Y. Bouguet. Complete camera calibration toolbox for matlab, http://www.vision.caltech.edu/bouguetj/calib doc.