Cite

[1] DeviceSpecifications. Google pixel 2 device specifications. https://www.devicespecifications.com/en/model/cd694619. ⇒45Search in Google Scholar

[2] J. Draisma, E. Horobeţ, G. Ottaviani, B. Sturmfels, R. R. Thomas, The euclidean distance degree of an algebraic variety, Foundations of computational mathematics, 16, 1, (2016) 99–149. ⇒4310.1007/s10208-014-9240-xSearch in Google Scholar

[3] M. Harman, Opencamera, https://sourceforge.net/projects/opencamera/. ⇒45Search in Google Scholar

[4] R. Hartley, A. Zisserman. Multiple view geometry in computer vision. Cambridge University Press, 2003. ⇒4510.1017/CBO9780511811685Search in Google Scholar

[5] R. I. Hartley, P. Sturm, Triangulation, Computer vision and image understanding, 68, 2 (1997) 146–157. ⇒4210.1006/cviu.1997.0547Search in Google Scholar

[6] L. Hung, M. Barth, A novel multi-planar lidar and computer vision calibration procedure using 2d patterns for automated navigation, In 2009 IEEE Intelligent Vehicles Symposium, IEEE, 2009 pp. 117–122. ⇒4210.1109/IVS.2009.5164263Search in Google Scholar

[7] Z. Kató, L. Czúni, Számítógépes látás. Egyetemi tananyag, Typotex, 2011. ⇒43, 44, 45Search in Google Scholar

[8] Zs. L. Kucsván. Data set used for the research, https://drive.google.com/open?id=18AbYIyJLjxRKZjbxb1hyALruduCgt8qO. ⇒45Search in Google Scholar

[9] P. Moulon, P. Monasse, R. Marlet et al. Openmvg, https://github.com/openMVG/openMVG. ⇒45Search in Google Scholar

[10] H. Stewenius, F. Schaffalitzky, D. Nister. How hard is 3-view triangulation really? Tenth IEEE Int. Conf. on Computer Vision, 2005. ICCV 2005., vol. 1, IEEE, 2005 pp. 686–693. ⇒4310.1109/ICCV.2005.115Search in Google Scholar

[11] R. Y. Tsai, An efficient and accurate camera calibration technique for 3d machine vision, Proc. of Comp. Vis. Patt. Recog., 1986, pp. 364–374. ⇒44Search in Google Scholar

eISSN:
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Language:
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Journal Subjects:
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