Photogrammetric automation : Is it worth?
Part of : Mediterranean archaeology & archaeometry : international journal ; Vol.16, No.5, 2016, pages 11-17
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11-17
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Abstract:
This paper focuses on the evaluation of automated image based techniques which are used lately in order to produce three dimensional digital models of cultural heritage objects. This implies a doubt as to how accurate and reliable are the products of these automated algorithms and how efficient they are for providing the necessary 3D material for the virtual environments. The implementation of this innovative approach has gradually become very popular in the field of Cultural Heritage during the last five years. Non-specialists found a way to easily produce 3D reconstructions just by taking a few images and using Structure-from-Motion and Multiview Stereo algorithms implemented by commercial or open source software. However, this fact led to debatable results, as a lot of ambiguities are lurking hidden in the “happiness” of automation. In order to assess the metric performance of these algorithms an innovative metric evaluation strategy has been designed. A very accurately measured test field, set up mainly for calibrating digital cameras, was used as an object of well-known ground truth. It was established that the accuracy of the resulting 3D reconstruction depends on the spatial analysis and the general quality of the original digital images, on the careful selection of the parameters provided by the software, the properties of the object itself and the computing power available.
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Keywords:
Virtual Museums, 3D digitizing, Artifacts, Image Based Methods, Accuracy
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Περιέχει 3 εικόνες και 4 πίνακες
References (1):
- Evgenikou V., Georgopoulos, A., 2015. Investigating 3d reconstruction methods for small artifacts. ISPRS Archives, Volume XL-5/W4 Page(s) 101-108, WG V/4, CIPA - 3D-Arch 2015 – 3D Virtual Reconstruction and Visualization of Complex Architectures 25–27 February 2015, Avila, Spain. Edi-tor(s): D. Gonzalez-Aguilera, F. Remondino, J. Boehm, T. Kersten, and T. Fuse. http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-5-W4/101/2015/isprsarchives-XL-5-W4-101-2015.pdfGeorgopoulos, A., Ioannidis, Ch., 2005. 3D Visualization by Integration of Multisource Data for Monument Geometric Recording, in Recording, Modeling and Visualization of Cultural Heritage, Baltsavias et al. (eds), Taylor & Francis Group ISBN 0 415 39208 X, International Workshop, Ascona, 2005.Huhtamo Erkki, 2002. On the Origins of the Virtual Museum. Nobel Symposium (NS 120) Virtual Museums and Public Understanding of Science and Culture, May 26-29, 2002, Stockholm, Sweden.Kremezi, M., Kristollari, V., 2014. Accuracy assessment of the Agisoft Photoscan software. Technical Report, Summer Course in Photogrammetry, Lab of Photogrammetry, NTUA (in Greek), unpublished.Lowe, D. (1999). Object recognition from local scale-invariant features. Proc. 7th International Conference on Computer Vision (ICCV'99) (Corfu, Greece): 1150-1157.doi:10.1109/ICCV.1999.790410.Lowe, D. 2004. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60, 2 (2004), pp. 91-110, doi:10.1023/B:VISI.0000029664.99615.94Manferdini A. M., Galassi M., 2013. Assessments for 3D reconstructions of cultural heritage using digital technologies. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-5/W1, 2013 3D-ARCH 2013 - 3D Virtual Reconstruction and Visualization of Complex Architectures, 25 – 26 February 2013, Trento, Italy.Oliensis J., 2000. A Critique of Structure-from-Motion Algorithms. Computer Vision and Image Understanding 80, 172–214 (2000) doi:10.1006/cviu.2000.0869, http://www.idealibrary.com.Papadaki A. I., Agrafiotis P., Georgopoulos, A., S. Prignitz, 2015. Accurate 3d scanning of damaged ancient Greek inscriptions for revealing weathered letters. ISPRS Archives, Volume XL-5/W4, WG V/4 Page(s) 237-243, CIPA - 3D-Arch 2015 – 3D Virtual Reconstruction and Visualization of Complex Architectures 25–27 February 2015, Avila, Spain. Editor(s): D. Gonzalez-Aguilera, F. Remondino, J. Boehm, T. Kersten, and T. Fuse. http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-5-W4/237/2015/isprsarchives-XL-5-W4-237-2015.pdfRoncella R., Re C., Forlani G., 2011. Performance evaluation of a structure and motion strategy in Architecture and cultural heritage. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXVIII-5/W16, 2011 ISPRS Trento 2011 Workshop, 2-4 March 2011, Trento, Italy.Seitz S. M., Curless B., Diebel J., Scharstein D., Szeliski R., 2006. A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms. Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference (Volume:1) 17-22 June 2006, pp.519-528, ISSN:1063-6919, Print ISBN: 0-7695-2597-0 DOI: 10.1109/CVPR.2006.19.Skarlatos D., Kiparissi S., 2012. Comparison of Laser Scanning, Photogrammetry and SFM-MVS Pipeline Applied in Structures and Artificial Surfaces. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume I-3, 2012 XXII ISPRS Congress, 25 August – 01 September 2012, Melbourne, Australia.Sylaiou S., Liarokapis F., Kotsakis K., Patias P., 2009. Virtual museums, a survey and some issues for consideration. Journal of Cultural Heritage 10 (2009) 520–528, doi:10.1016/j.culher.2009.03.003.Xiang Tao, Cheong Loong-Fah, 2003. Understanding the Behavior of SFM Algorithms: A Geometric Approach, International Journal of Computer Vision, February 2003, Volume 51, Issue 2, pp 111-137.