3D RECONSTRUCTION OF TEMPLES IN THE SPECIAL REGION OF YOGYAKARTA BY USING CLOSE-RANGE PHOTOGRAMMETRY

Adityo Priyandito Utomo, Canggih Puspo Wibowo

Abstract


Object reconstruction is one of the main problems in cultural heritage preservation. This problem is due to lack of data in documentation. Thus in this research we presented a method of 3D reconstruction using close-range photogrammetry. We collected 1319 photos from five temples in Yogyakarta. Using A-KAZE algorithm, keypoints of each image were obtained. Then we employed LIOP to create feature descriptor from it. After performing feature matching, L1RA was utilized to create sparse point clouds. In order to generate the geometry shape, MVS was used. Finally, FSSR and Large Scale Texturing were employed to deal with the surface and texture of the object. The quality of the reconstructed 3D model was measured by comparing the 3D images of the model with the original photos utilizing SSIM. The results showed that in terms of quality, our method was on par with other commercial method such as PhotoModeler and PhotoScan.


Full Text:

PDF

References


R. Soetarno, Aneka candi kuno di Indonesia, Jakarta: Dahara Prize, 1986.

E. Sedyawati, Budaya Indonesia: kajian arkeologi, seni, dan sejarah. Jakarta: RajaGrafindo Persada, 2006.

A. Bedate, L. C. Herrero, J. A. Sanz, “Economic valuation of the cultural heritage: application to four case studies in Spain”, Journal of Cultural Heritage, vol. 5, pp. 101-111, 2004.

T. Schenk, “Introduction to Photogrammetry”, from http://www.mat.uc.pt/~gil/downloads/IntroPhoto.pdf (accessed in December 2016).

L.G. Desmond, P. Collins, T.G. Negrón, and J. Callaghan, “Gateway into the past: Photogrammetric documentation of the Arch, Labna, Yucatan, Mexico”, Luis Barba P. (ed.), Antropología y Técnica, IIA, UNAM, vol. 7, pp. 55-66, 2003.

G. Guidi, J. A. Beraldin and C. Atzeni, "High-accuracy 3D modeling of cultural heritage: the digitizing of Donatello's "Maddalena”,", IEEE Transactions on Image Processing, vol. 13, no. 3, pp. 370-380, March 2004.

I. Şanlıoğlu, M. Zeybek, and G. Karauğuz, “Photogrammetric survey and 3D modeling of Ivriz rock relief in late Hittite Era”, Mediterranean Archaeology and Archaeometry, vol. 13, no. 2, pp. 147-157, 2013.

T. Luhmann, “Close range photogrammetry for industrial applications”, ISPRS Journal of Photogrammetry and Remote Sensing, vol 65, issue 6, pp. 558-569, November 2010.

P. Alcantarilla, J. Nuevo, and A. Bartoli, “Fast Explicit Diffusion for Accelerated Features in Nonlinear Scale Spaces”, in Proceedings British Machine Vision Conference, pp. 13.1--13.11, 2013.

P. Alcantarilla, A. Bartoli, and A.J. Davison, “KAZE features”, in European Conference on Computer Vision, pp. 214-227, Springer Berlin Heidelberg, October 2012.

Z. Wang, B. Fan, and F. Wu, “Local intensity order pattern for feature description”, in Proceedings of the IEEE International Conference on Computer Vision, pp. 603-610, 2011.

A. Chatterjee and V. M. Govindu, “Efficient and robust large-scale rotation averaging”, in Proceedings of the IEEE International Conference on Computer Vision, pp. 521-528, 2013.

V. M. Govindu, "Lie-algebraic averaging for globally consistent motion estimation," in Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. I-684-I-691, 2004.

M. Goesele, N. Snavely, B. Curless, H. Hoppe, and S. M. Seitz, “Multi-View Stereo for Community Photo Collections”, in Proceedings of the International Conference on Computer Vision (ICCV), pp. 1–8, 2007.

S. Fuhrmann and M. Goesele (2014). “Floating scale surface reconstruction”, ACM Transactions on Graphics (TOG), vol. 33, no. 4, 2014.

M. Waechter, N. Moehrle, and M. Goesele, “Let there be color! Large-scale texturing of 3D reconstructions”, European Conference on Computer Vision, pp. 836-850, Springer International Publishing, 2014.

C. Sweeney, “A-KAZE features”, from http://github.com/sweeneychris/akaze-eigen (accessed in June 2016).

A. Vedaldi and B. Fulkerson, “VLFeat: An open and portable library of computer vision algorithms”, from http://www.vlfeat.org (accessed in June 2016).

P. Moulon, P. Monasse, and R. Marlet, “OpenMVG, An open multiple view geometry library”, from http://github.com/openMVG/openMVG (accessed in June 2016).

S. Fuhrmann, F. Langguth, and M. Goesele, "MVE-A multiview reconstruction environment", in Proceedings of the Eurographics Workshop on Graphics and Cultural Heritage (GCH), vol. 6, no. 7, 2014.

N. Moehrle, “MVS-Texturing”, from http://github.com/nmoehrle/mvs-texturing (accessed in June 2016).

Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, “Image quality assessment: from error visibility to structural similarity”, IEEE transactions on image processing, vol. 13, no. 4, pp. 600-612, 2004.


Refbacks

  • There are currently no refbacks.