Abstract
The paper seeks to evaluate the literature on digital photogrammetry processing software, comparing Agisoft Photoscan (now known as Agisoft Metashape, beginning with version 1.5) RealityCapture and to test the two programs in a real-world situation to further examine the difference in the software and resulting model. Tests were carried out for the evaluation of Photoscan, and RealityCapure—two European based digital photogrammetry programs—using the same artifact and data in all three tests. The artifact is part of the Farid Karam Collection of Antiquities, housed at the University of South Florida (USF) Libraries Tampa Special Collections. The chosen artifact for study, the aryballos inv. no. 68, was captured in ideal conditions to better evaluate multiple programs with the same data. The digital artifact was examined based upon knowledge and photographs of the physical artifact and evaluated relatively and comparatively between the programs.
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References
Zarnowski, A., Banaszek, A., Banaszek, S.: Application of technical measures and software in constructing photorealistic 3D models of historical building using ground-based and aerial (UAV) digital images. Rep. Geod. Geoinformatics 99, 54 (2015). https://doi.org/10.2478/rgg-2015-0012
Barbasiewicz, A., Widerski, T., Karol, D.: The analysis of the accuracy of spatial models using photogrammetric software: Agisoft Photoscan and Pix4D. In: E3S Web Conferences, vol. 26, p. 00012 (2018). https://doi.org/10.1051/e3sconf/20182600012
Vacca, G., Furfaro, G., Dessì, A.: The use of the UAS images for building 3D model generation. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XLII-4/W8, 217–223 (2018). https://doi.org/10.5194/isprs-archives-xlii-4-w8-217-2018
Dostal, C., Yamafune, K.: Photogrammetric texture mapping: a method for increasing the fidelity of 3D models of cultural heritage materials. J. Archaeol. Sci.: Rep. 18, 430–436 (2018). https://doi.org/10.1016/j.jasrep.2018.01.024
Li, X., Chen, Z., Zhang, L., Jia, D.: Construction and accuracy test of a 3D model of non-metric camera images using Agisoft PhotoScan. Procedia Environ. Sci. 36, 184–190 (2016). https://doi.org/10.1016/j.proenv.2016.09.031
Smith, M.W., Carrivick, J.L., Quincey, D.J.: Structure from motion photogrammetry in physical geography. Prog. Phys. Geogr. 40(2), 247–275 (2016). https://doi.org/10.1177/0309133315615805
Jaud, M., Passot, S., Le Bivic, R., Delacourt, C., Grandjean, P., Le Dantec, N.: Assessing the accuracy of high resolution digital surface models computed by PhotoScan® and MicMac® in sub-optimal survey conditions. Remote Sens. 8(6), 465 (2016). https://doi.org/10.3390/rs8060465
Pyka, K.: Comparison of quality of metric photos relative orientation in Micmac and PhotoScan. In: 2017 Baltic Geodetic Congress, BGC Geomatics. IEEE (2017)
Verhoeven, G.: Taking computer vision aloft – archaeological three-dimensional reconstructions from aerial photographs with photoscan. Archaeol. Prospect. 18(1), 67–73 (2011). https://doi.org/10.1002/arp.399
Colomina, I., Molina, P.: Unmanned aerial systems for photogrammetry and remote sensing: a review. ISPRS J. Photogramm. Remote Sens. 92, 79–97 (2014). https://doi.org/10.1016/j.isprsjprs.2014.02.013
Thomas, H., Kennedy, M.A.: A new methodology for accurate digital planning of archaeological sites without the aid of surveying equipment. J. Archaeol. Sci.: Rep. 10, 887–892 (2016). https://doi.org/10.1016/j.jasrep.2016.06.006
Alidoost, F., Arefi, H.: Comparison of UAS-based photogrammetry software for 3D point cloud generation: a survey over a historical site. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. IV-4/W4, 55–61 (2017). https://doi.org/10.5194/isprs-annals-iv-4-w4-55-2017
Georgopoulos, A., Oikonomou, Ch., Adamopoulos, E., Stathopoulou, E. K.: Evaluating unmanned aerial platfroms for cultural heritage large scale mapping. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XLI-B5, 355–362 (2016). https://doi.org/10.5194/isprsarchives-xli-b5-355-2016
Hendrickx, H., et al.: The reproducibility of SfM algorithms to produce detailed digital surface models: the example of PhotoScan applied to a high-alpine rock glacier. Remote Sens. Lett. 10(1), 11–20 (2019). https://doi.org/10.1080/2150704X.2018.1519641
Tanasi, D., Hassam, S.N., Kingsland, K.: Learning through objects: 3D digital imaging and 3D printing for public outreach in archaeology. In: Proceedings of Visual Heritage 2018, Conference on Cultural Heritage and New Technologies (CHNT), 23. IEEE (2018)
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The author would like to thank Davide Tanasi and Stephan Hassam for his help in editing and polishing this paper and appreciates the reviewers and many individuals who provided valuable comments, edits, and discussions that made this possible.
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Kingsland, K. (2019). A Comparative Analysis of Two Commercial Digital Photogrammetry Software for Cultural Heritage Applications. In: Cristani, M., Prati, A., Lanz, O., Messelodi, S., Sebe, N. (eds) New Trends in Image Analysis and Processing – ICIAP 2019. ICIAP 2019. Lecture Notes in Computer Science(), vol 11808. Springer, Cham. https://doi.org/10.1007/978-3-030-30754-7_8
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