The art of implementing SFM for reconstruction of archaeological sites in Greece : preliminary applications of cyber-archaeological recording at Corinth
Part of : Mediterranean archaeology & archaeometry : international journal ; Vol.14, No.4, 2014, pages 125-133
Issue:
Pages:
125-133
Abstract:
Cyber-archaeology represents the marriage of archaeology, computer science, engineering, and the natural sciences with the aim of taking advantage of constantly evolving technologies for digital data capture, curation, analyses and dissemination. Digital data collection tools are perhaps the most rapidly changing arenas of development in cyber-archaeology and are becoming affordable tools for every archaeologist. In this paper, we examine two users’ approaches to produce point cloud models of archaeological sites using structure from motion (SfM) photography. The experiment took place at the Fountain of Peirene in ancient Corinth, Greece. Their implementation of the technology and their results are compared to highlight the very important role the photo-shooting session can play in the final outcome of the SfM reconstruction. We correlate the users’ approaches to the applied algorithms’ robust features and known limitations to provide a technical explanation of how archaeologists can significantly improve their success in SfM. As new algorithms and software emerge making SfM a common tool in archaeological documentation the methodology presented in this paper will enable archaeologists to meet the high demand for digital documentation on a global scale.
Subject (LC):
Keywords:
Cyber-archaeology, digital data collection, Structure from Motion, SfM, Corinth
Notes:
Corresponding author: Thomas E. Levy (tlevy@ucsd.edu)
References (1):
- Furukawa, Y., and J. Ponce. (2007) Accurate, Dense, and Robust Multi-View Stereopsis. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, July 2007. http://grail.cs.washington.edu/software/pmvs/bibtex.txtHirschmüller, H. (2008) Stereo processing by semiglobal matching and mutual information. IEEE Transactions on Pattern Analysis and Machine Intelligence 30, pp. 328–341.Jancosek, M., T. Pajdla. (2011) Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 - IEEE Conference on Computer Vision and Pattern Recognition 2011.Levy, T. E., Anderson, J.D., Waggoner, M., Smith, N., Muniz, A., and Adams, R.B. (2001) Interface: Archaeology and Technology - Digital Archaeology 2001: GIS-Based Excavation Recording in Jordan. The SAA Archaeological Record 1(3):23 - 29.Levy, T.E., Tuttle, C.A., Vincent, M., Howland, M., Richter, A., Petrovic, V., and Vanoni, D. (2013) The 2012 Petra Cyber-Archaeology Cultural Conservation Expedition: Temple of the Winged Lions and Environs, Jordan. Antiquity (Project Gallery) http://antiquity.ac.uk/projgall/levy335/.Levy, T.E, and N.G Smith (2007) On-Site Digital Archaeology: GIS-Based Excavation Recording in Southern Jordan. In Crossing Jordan – North American Contributions to the Archaeology of Jordan. T.E. Levy, M. Daviau, R. Younker, and M. M. Shaer, eds. Pp. 47-58. London: Equinox.Levy, T.E. 2013 Cyber-Archaeology and World Cultural Heritage: Insights from the Holy Land. Bulletin of the American Academy of Arts & Sciences LXVI:26-33.Lowe, D.G. (2004) Distinctive image features from scale invariant keypoints. IJCV, 60(2), pp. 91-110.Snavely, N., S. M. Seitz, R. Szeliski. (2006) Photo Tourism: Exploring image collections in 3D. ACM Transactions on Graphics (Proceedings of SIGGRAPH 2006).Robinson, B. A. (2011) Histories of Peirene: A Corinthian Fountain in Three Millennia. Princeton: American School of Classical Studies at Athens.Rothermel, M., K., Wenzel, D. Fritsch, N. Haala. (2012). SURE: Photogrammetric Surface Reconstruction from Imagery. Proceedings LC3D Workshop, Berlin ,December 2012.Smith, N.G., and T.E. Levy 2012 Real-time 3D archaeological field recording: ArchField, an open-source GIS system pioneered in Jordan. Antiquity 85(331):on-line http://antiquity.ac.uk/projgall/smith331/.Wu, ChangChang. (2007) SiftGPU: A GPU Implementation of Scale Invariant Feature Transform SIFT. http://cs.unc.edu/~ccwu/siftgpu.Wu, Changchang, S. Agarwal, B. Curless, and S. M. Seitz. (2011) Multicore Bundle Adjustment. CVPR 2011, (poster ,supplemental material).
