Moisan, L., P. Moulon, and P. Monasse, 2012. Automatic homographic
registration of a pair of images, with a contrario elimination of
outliers,
Image Processing on Line
, 2:56–73.
Nagashima, S., T. Aoki, T. Higuchi, and K. Kobayashi, 2006.
A subpixel image matching technique using phase-only
correlation,
Proceedings of the International Symposium on
Intelligent Signal Processing and Communication Systems
,
Tottori, Japan, pp. 701–704.
Nassif, H.H., M. Gindy, and J. Davis, 2005. Comparison of laser
Doppler vibrometer with contact sensors for monitoring bridge
deflection and vibration,
NDT & E International
, 38(3):213–218.
Pan, B., 2011. Recent progress in digital image correlation,
Experimental Mechanics
, 51(7):1223–1235.
Pan, B., K. Li, and W. Tong, 2013. Fast, robust and accurate digital
image correlation calculation without redundant computations,
Experimental Mechanics
, 53(7):1277–1289.
P
ă
tr
ă
ucean, V., P. Gurdjos, and R.G.v. Gioi, 2017. Joint
a contrario
ellipse and line detection,
IEEE Transactions on Pattern Analysis
and Machine Intelligence
, 39(4):788–802.
Remondino, F., 2006. Videogrammetry for human movement analysis,
Proceedings of the Ninth International Symposium on 3D
Analysis of Human Movement
, Valenciennes, France.
Ren, J., T. Vlachos, Y. Zhang, J. Zheng and J. Jiang, 2014. Gradient-
based subspace phase correlation for fast and effective image
alignment,
Journal of Visual Communication and Image
Representation
, 25(7):1558–1565.
Ribeiro, D., R. Calçada, J. Ferreira, and T. Martins, 2014. Non-contact
measurement of the dynamic displacement of railway bridges
using an advanced video-based system,
Engineering Structures
,
75:164–180.
Severn, R., 2011. The development of shaking tables - A historical
note,
Earthquake Engineering & Structural Dynamics
, 40(2):195–
213.
Shi, Z., Y. Wang, M. Peng, J. Chen, and J. Yuan, 2015. Characteristics
of the landslide dams induced by the 2008 Wenchuan
earthquake and dynamic behavior analysis using large-scale
shaking table tests,
Engineering Geology
, 194:25–37.
Sładek, J., K. Ostrowska, P. Kohut, K. Holak, A. Gąska, and T. Uhl,
2013. Development of a vision based deflection measurement
system and its accuracy assessment,
Measurement
, 46(3):1237–
1249.
Stone, H.S., M.T. Orchard, E.-C. Chang, and S.A. Martucci, 2001. A
fast direct Fourier-based algorithm for subpixel registration of
images,
IEEE Transactions on Geoscience and Remote Sensing
,
39(10):2235–2243.
Sutton, M.A., J.J. Orteu, and H. Schreier, 2009.
Image Correlation for
Shape, Motion and Deformation Measurements: Basic Concepts,
Theory and Applications
, Springer Science & Business Media,
New York, 84 p.
Tennakoon, R.B., A. Bab-Hadiashar, Z. Cao, R. Hoseinnezhad, and
D. Suter, 2016. Robust model fitting using higher than minimal
subset sampling,
IEEE Transactions on Pattern Analysis and
Machine Intelligence
, 38(2):350–362.
Tong, X., Z. Ye, Y. Xu, S. Liu, L. Li, H. Xie, and T. Li, 2015. A
novel subpixel phase correlation method using singular value
decomposition and unified random sample consensus,
IEEE
Transactions on Geoscience and Remote Sensing
, 53(8):4143–
4156.
Tzimiropoulos, G., V. Argyriou, and T. Stathaki, 2011. Subpixel
registration with gradient correlation,
IEEE Transactions on
Image Processing
, 20(6):1761–1767.
Wittich, C.E., and T.C. Hutchinson, 2015. Shake table tests of stiff,
unattached, asymmetric structures,
Earthquake Engineering &
Structural Dynamics
, 44(14):2425–2443.
Wu, L., F. Casciati, and S. Casciati, 2014. Dynamic testing of a
laboratory model via vision-based sensing,
Engineering
Structures
, 60:113–125.
592
September 2018
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
