Open Access
Issue
E3S Web Conf.
Volume 318, 2021
Second International Conference on Geotechnical Engineering – Iraq (ICGE 2021)
Article Number 04005
Number of page(s) 11
Section Remote Sensing and Environmental Engineering
DOI https://doi.org/10.1051/e3sconf/202131804005
Published online 08 November 2021
  1. Gonçalves, J. A., 2008, November. Orientation and DEM extraction from ALOS-PRISM images using the SRTM-DEM as ground control. In ISPRS Archives. XXIst ISPRS Congress Technical Commission I (Vol. 37, p. B1). [Google Scholar]
  2. Grussenmeyer, P. and Khalil, O. A., 2002. Solutions for exterior orientation in photogrammetry: a review. The photogrammetric record, 17(100), pp.615–634. [Google Scholar]
  3. Tagoe, N. D. and Mantey, S., 2019. Determination of the Interior Orientation Parameters of a Non-metric Digital Camera for Terrestrial Photogrammetric Applications. Ghana Mining Journal, 19(2), pp.1–9. [Google Scholar]
  4. Ghosh, S. K., 2005. Fundamentals of computational photogrammetry. Concept Publishing Company. [Google Scholar]
  5. Boonbrahm, P., Sewata, L. and Boonbrahm, S., 2015. Transforming 2D human data into 3D model for augmented reality applications. Procedia Computer Science, 75, pp.28–33. [Google Scholar]
  6. Barazzetti, L. and Scaioni, M., 2010. Development and implementation of image-based algorithms for measurement of deformations in material testing. Sensors, 10(8), pp.7469–7495. [Google Scholar]
  7. Uchino, T., Takezawa, T. and Ikarashi, Y., 2009. Reconstruction of three-dimensional human skin model composed of dendritic cells, keratinocytes and fibroblasts utilizing a handy scaffold of collagen vitrigel membrane. Toxicology in vitro, 23(2), pp.333–337. [Google Scholar]
  8. Ebrahim, M. A. B., 2004. Using mobile phone digital cameras in digital close range photogrammetry. Assiut University, Ebrahim@ acc. aun. eun. eg. [Google Scholar]
  9. Satchet, M. S., 2011. Feasibility Study of Using Mobile Phone Camera in Digital Close Range Photogrammetry. Journal of Thi-Qar University number1 Vol. [Google Scholar]
  10. Liba, N., Metsoja, K., Järve, I. and Miljan, J., 2019. Making 3D models using close-range photogrammetry: comparison of cameras and software. International Multidisciplinary Scientific GeoConference: SGEM, 19(2.2), pp.561–568. [Google Scholar]
  11. Kim, J., Lee, S., Ahn, H., Seo, D., Park, S. and Choi, C., 2013. Feasibility of employing a smartphone as the payload in a photogrammetric UAV system. ISPRS Journal of Photogrammetry and Remote Sensing, 79, pp.1–18. [Google Scholar]
  12. F. Yilmazturk, A.E. Gurbak, Geometric evaluation of mobile-phone camera images for 3D information, International Journal of Optics 2019 (2019). [Google Scholar]
  13. Apple iPhone 6 - Specifications https://www.devicespecifications.com/en/model/5d342ce2. [Google Scholar]
  14. Cao, Y., Fu, J. and Bai, Y., 2016, December. Camera calibration and error analysis based on Matlab calibration tool. In 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016) (pp. 1327–1330). Atlantis Press. [Google Scholar]
  15. Dong, Y., Ye, X. and He, X., 2016, June. A novel camera calibration method combined with calibration toolbox and genetic algorithm. In 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA) (pp. 1416–1420). IEEE. [Google Scholar]
  16. Khalaf, A.Z., Mohammed, N.S. and Al-hasoon, F.S.A., 2016. Accuracy Assessment of Analytical Orientation Process in Close range Photogrammetry. Engineering and Technology Journal, 34(14 Part (A) Engineering). [Google Scholar]
  17. Geosystems, L., 2005. Leica Photogrammetry Suite Project Manager User's Guide. [Google Scholar]
  18. Verhoeven, G., 2011. Taking computer vision aloft-archaeological three-dimensional reconstructions from aerial photographs with photoscan. Archaeological prospection, 18(1), pp.67–73. [Google Scholar]
  19. Semyonov, D., 2011. Algorithms used in photoscan, Agisoft PhotoScan Forum. [Google Scholar]
  20. Balletti, C., Guerra, F., Tsioukas, V. and Vernier, P., 2014. Calibration of action cameras for photogrammetric purposes. Sensors, 14(9), pp.17471–17490. [Google Scholar]
  21. AgiSoft, L. L. C., 2011. AgiSoft PhotoScan User Manual: Standard Edition. Version 0.8. [Google Scholar]
  22. Chiabrando, F., Donadio, E., and Rinaudo, F., 2015. SFM for orthophoto to generation: A winning approach for cultural heritage knowledge. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 40(5), p.91. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.