Open Access
MATEC Web Conf.
Volume 275, 2019
1st International Conference on Advances in Civil Engineering and Materials (ACEM1) and 1st World Symposium on Sustainable Bio-composite Materials and Structures (SBMS1) (ACEM2018 and SBMS1)
Article Number 03009
Number of page(s) 9
Section Geotechnical and Tunnel Engineering
Published online 13 March 2019
  1. Ghosh. B., Madabhushi. S.PQ. Centrifuge modelling of seismic soil stmcture interaction [J]. Nuclear Engineering and Design. 2007, 237(8): 887-896. [Google Scholar]
  2. Li yuanhai, Zhu hehua, et al. Measurement of deformation field in sand model test based on image correlation analysis [J]. Journal of geotechnical engineering, 2004, 26 (1): 36. 41. (in Chinese) [Google Scholar]
  3. White D J, Take W A & Bohon M D. Soil deformation measurement using particle image velocimetry (PIV) and photo Fammetry [J]. 2003, 53(7): 619—631. [Google Scholar]
  4. Peters W H, Ranaon W F. Digital images Techniques in Experimental Mechanics [J]. Opt.Eng. 1982, 21(3): 427—431. [Google Scholar]
  5. Tourlonias. M., Bueno. M.A., Bigue. L, et al. Contactless optical extensometer for textile materials [J]. Experimental Mechanics, 2005, 45(5):420-426. [CrossRef] [Google Scholar]
  6. Zhang. D., Arola. D., Charalambides. P.G, et al. On the mechanical behavior of carbon-carbon optic grids determined using a bi-axial optical extensometer [J]. Journal of Materials Science, 2004, 39(14):4495-4505. [CrossRef] [Google Scholar]
  7. Kumap. K, Pooleery. A., Madhusoodanan. K., et al. Optimisation of thickness of miniature tensile specimens for evaluation of mechanical properties [J]. Materials Science and Engineering: A, 2016, 675:32-33. [CrossRef] [Google Scholar]
  8. Dubos P A, Fleurier G, Huge. An experimental investigation of size effects in forming processes of high-purity thin metallic sheets [J]. materials Science Forum, 2016, 879:459-464. [CrossRef] [Google Scholar]
  9. Wang W, He X Y. Application of optical extensometer on the real-strain measurement of low-dimensional materials [J]. Acta Optica Sinica, 2010, 30(6):1662-1666. (in Chninese) [CrossRef] [Google Scholar]
  10. Pan B, Yu LP, Wu DF. High-Accuracy 2D digital image correlation measurements with bilateral telecentric lenses: error analysis and experimental verification. Exp Mech 2013; 53(9):1719–33. [CrossRef] [Google Scholar]
  11. Helm JD, McNeill SR, Sutton MA. Improved three-dimensional image correlation for surface displacement measurement. Opt Eng 1996; 35(7):1911–20. [CrossRef] [Google Scholar]
  12. Luo PF, et al. Accurate measurement of three-dimensional deformations indeformable and rigid bodies using computer vision. Exp Mech 1993; 33(2):123–32. [CrossRef] [Google Scholar]
  13. Tsai RY. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses. IEEE J Robot Autom 1987; 3(4):323–44. [Google Scholar]
  14. Pengxiang Bai, Feipeng Zhu, Xiaoyuan He. Optical extensometer and elimination of the effect of out-of-plane motions. Optics and Lasers in Engineering 65 (2015) 28–37 [CrossRef] [Google Scholar]
  15. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J.Comput. Vis. 60(2),91–110 (2004). [Google Scholar]
  16. Rublee, E., Rabaud, V., Konolige, K., Bradski, G.: ORB: an efficient alternative to SIFT or SURF. In: 2011 IEEE International Conference on Computer Vision (ICCV), pp. 2564–2571, November 2011. [Google Scholar]
  17. Leutenegger, S., Chli, M., Siegwart, R.Y.: BRISK: binary robust invariant scalable key points. In: 2011 IEEE International Conference on Computer Vision (ICCV), pp. 2548–2555. IEEE (2011). [Google Scholar]
  18. Alahi, A., Ortiz, R., Vandergheynst, P.: FREAK: fast retina key point. In: IEEE Conference on Computer Vision and Pattern Recognition (2012). [Google Scholar]
  19. SIFT and SURF Performance Evaluation and the Effect of FREAK Descriptor in the Context of Visual Odometry for Unmanned Aerial Vehicles. [Google Scholar]
  20. BEKELE D, TEUTSCH M, SCHUCHERT T. Evaluation of binary key point descriptor [C] //IEEE International Conference on Image Processing. Melbourne, Australia: IEEE, 2013:3652-3656. [Google Scholar]
  21. Zhang Z. A flexible new technique for camera calibration [J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2000, 22(11): 1330-1334. [CrossRef] [Google Scholar]

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