[1] Polish Committee for Standardization. (2010). Paper and cardboard – Determination of tensile properties – Part 2: Test at constant tensile speed (20 mm / min) (ISO Standard No. PN-EN ISO 1924-2). (in Polish)
[2] Laermann, K. H. (Eds.). (2000). Optical Methods in Experimental Solid Mechanics. Springer. https://doi.org/10.1007/978-3-7091-2586-1
[3] Zhu, C., Wang, H., Kaufmann, K., & Vecchio, K. S. (2020). A computer vision approach to study surface deformation of materials. Measurement Science and Technology, 31(5), 055602. https://doi.org/10.1088/1361-6501/ab65d9
[4] Sutton, M. A. (2008). Digital Image Correlation for Shape and Deformation Measurements. In: Sharpe, W. (Eds.). Springer Handbook of Experimental Solid Mechanics. Springer Handbooks (pp. 565-600). Springer. https://doi.org/10.1007/978-0-387-30877-7_20
[5] Sutton, M. A., Orteu, J. J., & Schreier, H. (2009). Image correlation for shape, motion and deformation measurements: basic concepts, theory and applications. Springer Science & Business Media. https://doi.org/10.1007/978-0-387-78747-3
[6] Khoo, S. W., Karuppanan, S., & Tan, C. S. (2016). A review of surface deformation and strain measurement using two-dimensional digital image correlation. Metrology and Measurement Systems, 23(3), pp. 461–480. https://doi.org/10.1515/mms-2016-0028
[7] Debella-Gilo, M., & Kääb, A. (2010). Sub-pixel Precision Image Matching for Displacement Measurement of Mass Movements Using Normalised Cross-Correlation. ISPRS TC VII Symposium – 100 Years ISPRS, Austria, XXXVIII, Part 7B.
[8] White, D. J., Take, W. A., & Bolton, M. D. (2003). Soil deformation measurement using particle image velocimetry (PIV) and photogrammetry. Geotechnique, 53(7), 619–631. https://doi.org/10.1680/geot.2003.53.7.619
[9] Take, W. A. (2015). Thirty-Sixth Canadian Geotechnical Colloquium: Advances in visualization of geotechnical processes through digital image correlation. Canadian Geotechnical Journal, 52(9), 1199–1220. https://doi.org/10.1139/cgj-2014-0080
10] Stanier, S. A., Blaber, J., Take, W. A., & White, D. J. (2016). Improved image-based deformation measurement for geotechnical applications. Canadian Geotechnical Journal, 53(5), 727–739. https://doi.org/10.1139/cgj-2015-0253
[11] Chivers, K. & Clocksin, W. (2000). Inspection of Surface Strain in Materials Using Optical Flow, In Mirmehdi, M. & Barry T., (Eds.). Proceedings of the British Machine Conference. BMVA Press. https://doi.org/10.5244/C.14.41
[12] Lyubutin, P. S. (2015). Development of optical flow computation algorithms for strain measurement of solids. Computer Optics, 39(1), 94–100. https://doi.org/10.18287/0134-2452-2015-39-1-94-100
[13] Hartmann, C., & Volk,W. (2019). Digital image correlation and optical flow analysis based on the material texture with application on high-speed deformation measurement in shear cutting. International Conference on Digital Image & Signal Processing, United Kingdom.
[14] Jiao,W., Fang, Y.,&He, G. (2008). An integrated feature -based method for sub-pixel image matching. The International Archives of the Photogrammetry, China, XXXVII, Part B1.
[15] Zwick Roell. Product Information videoXtens 2-120 HP. https://www.zwickroell.com
[16] Narita, G., Watanabe, Y., & Ishikawa, M. (2016). Dynamic projection mapping onto deforming nonrigid surface using deformable dot cluster marker. IEEE Transactions on Visualization and Computer Graphics, 23(3), 1235–1248. https://doi.org/10.1109/TVCG.2016.2592910
[17] Mishra, S. R., Mohapatra, S. R., Sudarsanan, N., Rajagopal, K., & Robinson, R. G. (2017). A simple image-based deformation measurement technique in tensile testing of geotextiles. Geosynthetics International, 24(3), 306–320. https://doi.org/10.1680/jgein.17.00003
[18] Duda, A., & Frese, U. (2018). Accurate Detection and Localization of Checkerboard Corners for Calibration. 29th British Machine Vision Conference (BMVC-29), United Kingdom. https://bmvc2018.org/contents/papers/0508.pdf
[19] Jones, A. R. (1968). An Experimental Investigation of the In-Plane Elastic Moduli of Paper. Tappi, 51(5), 203–209.
[20] Szewczyk, W. (2008). New methods of assessing the load capacity of multilayer laminates of paper and cardboard. Science Notebooks Lodz University of Technology, 1027. (in Polish).
[21] Cao, X., Bi, Z.,Wei, X.,&Xie,Y. (2012). Determination of Poisson’s Ratio of Kraft Paper Using Digital Image Correlation. In: Zhang T. (Eds.). Mechanical Engineering and Technology. Advances in Intelligent and Soft Computing (pp. 51-57), 125. Springer. https://doi.org/10.1007/978-3-642-27329-2_8