B. Peng, Q. Zhang, W. Zhou, X. Hao, and L. Ding, “Modified correlation criterion for digital image correlation considering the effect of lighting variations in deformation measurements,” Opt. Eng.51, 017004 (2012).

[CrossRef]

C. Cofaru, W. Philips, and W. Van Paepegem, “A novel speckle pattern - adaptive Digital Image Correlation approach with robust strain calculation,” Opt. Lasers Eng.50, 187–198 (2012).

[CrossRef]

C. Cofaru, W. Philips, and W. Van Paepegem, “A three-frame digital image correlation (DIC) method for the measurement of small displacements and strains,” Meas. Sci. Technol.23, 105406 (14 pp.) (2012).

[CrossRef]

S. Baker, D. Scharstein, J.P Lewis, S. Roth, M. J. Black, and R. Szeliski, “A database and evaluation methodology for optical flow,” Int. J. Comput. Vis.92, 1–31 (2011).

[CrossRef]

J. Zhang, Y. Cai, W. Ye, and T.X. Yu, “On the use of the digital image correlation method for heterogeneous deformation measurement of porous solids,” Opt. Lasers Eng.49, 200–209 (2011).

[CrossRef]

J. Poissant and F. Barthelat, “A novel subset splitting procedure for digital image correlation on discontinuous displacement fields,” Exp. Mech.50, 353–364 (2010).

[CrossRef]

D. Sun, E. B. Sudderth, and M. J. Black, “Layered image motion with explicit occlusions, temporal consistency, and depth ordering,” Adv. Neural Inf. Process. Syst.23, 2226–2234 (2010).

C. Cofaru, W. Philips, and W. Van Paepegem, “Evaluation of digital image correlation techniques using realistic ground truth speckle images,” Meas. Sci. Technol.21, 055102 (17 pp.) (2010).

[CrossRef]

B. Pan, Z. Wang, and Z. Lu, “Genuine full-field deformation measurement of an object with complex shape using reliability-guided digital image correlation,” Opt. Express18, 1011–1023 (2010).

[CrossRef]
[PubMed]

C. Tang, L. Wang, S. Yan, J. Wu, L. Cheng, and C. Li, “Displacement field analysis based on the combination digital speckle correlation method with radial basis function interpolation,” Appl. Opt.49, 4545–4553 (2010).

[CrossRef]
[PubMed]

B. Pan, H. Xie, and Z. Wang, “Equivalence of digital image correlation criteria for pattern matching,” Appl. Opt.49, 5501–5509 (2010).

[CrossRef]
[PubMed]

C. Cofaru, W. Philips, and W. Van Paepegem, “Improved Newton-Raphson digital image correlation method for full-field displacement and strain calculation,” Appl. Opt.49, 6472–6484 (2010).

[CrossRef]
[PubMed]

Y.N. Chen, W.Q. Jin, L. Zhao, and F.W. Li, “A subpixel motion estimation algorithm based on digital correlation for illumination variant and noise image sequences” Optik120, 835–844 (2009).

[CrossRef]

B. Pan, A. Asundi, H-M. Xie, and J. X. Gao, “Digital image correlation using iterative least squares and pointwise least squares for displacement field and strain field measurements,” Opt. Lasers Eng.47, 865–874 (2009).

[CrossRef]

J. Réthoré, F. Hild, and S. Roux, “Extended digital image correlation with crack shape optimization,” Int. J. Numer. Meth. Eng.73, 248–272 (2008).

[CrossRef]

J. Réthoré, S. Roux, and F. Hild, “From pictures to extended finite elements: extended digital image correlation (X-DIC),” C.R. Mécanique335, 131–137 (2007).

[CrossRef]

L.B. Meng, G.C. Jin, and X.F. Yao, “Application of iteration and finite element smoothing technique for displacement and strain measurement of digital speckle correlation,” Opt. Lasers Eng.45, 56–73 (2007).

[CrossRef]

G. Besnard, F. Hild, and S. Roux, “Finite-Element’ displacement fields analysis from digital images: Application to Portevin-Le Châtelier bands,” Exp. Mech.46, 789–803 (2006).

[CrossRef]

Y. Sun, J.H.L. Pang, C.K. Wong, and F. Su, “Finite element formulation for a digital image correlation method,” Appl. Opt.44, 7357–7363 (2005).

[CrossRef]
[PubMed]

C-H. Teng, S-H. Lai, Y-S. Chen, and W-H. Hsu, “Accurate optical flow computation under non-uniform brightness variations,” Comput. Vis. Image Underst.97, 315–346 (2005).

[CrossRef]

Y-H. Kim, A. M. Martìnez, and A. C. Kak, “Robust motion estimation under varying illumination,” Image Vis. Comput.23, 365–375 (2005).

[CrossRef]

M. Ye, R. M. Haralick, and L. G. Shapiro, “Estimating piecewise-smooth optical flow with global matching and graduated optimization,” IEEE Trans. Pattern Anal. Mach. Intell.25, 1625–1630 (2003).

[CrossRef]

G. Vendroux and W. G. Knauss, “Submicron deformation field measurements: Part 2. Improved digital image correlation,” Exp. Mech.38, 86–92 (1998).

[CrossRef]

M. J. Black and P. Anandan, “The robust estimation of multiple motions: Parametric and piecewise-smooth flow fields,” Comput. Vis. Image Underst.63, 75–104 (1996).

[CrossRef]

H. A. Bruck, S. R. McNeill, M. A. Sutton, and W. H. Peters, “Digital image correlation using Newton-Raphson method of partial differential correction,” Exp. Mech.29, 261–267 (1989).

[CrossRef]

M. A. Sutton, W. J. Wolters, W. H. Peters, W. F. Ranson, and S. R. McNeill, “Determination of displacements using an improved digital correlation method,” Image Vision Comput.1, 133–139 (1983).

[CrossRef]

W. H. Peters, W. F. Ranson, M. A. Sutton, T.C. Chu, and J. Anderson, “Application of digital correlation methods to rigid body mechanics,” Opt. Eng.22, 738–742 (1983).

[CrossRef]

W. H. Peters and W. F. Ranson, “Digital imaging techniques in experimental stress-analysis,” Opt. Eng.21, 427–431 (1982).

[CrossRef]

M. J. Black and P. Anandan, “The robust estimation of multiple motions: Parametric and piecewise-smooth flow fields,” Comput. Vis. Image Underst.63, 75–104 (1996).

[CrossRef]

W. H. Peters, W. F. Ranson, M. A. Sutton, T.C. Chu, and J. Anderson, “Application of digital correlation methods to rigid body mechanics,” Opt. Eng.22, 738–742 (1983).

[CrossRef]

B. Pan, A. Asundi, H-M. Xie, and J. X. Gao, “Digital image correlation using iterative least squares and pointwise least squares for displacement field and strain field measurements,” Opt. Lasers Eng.47, 865–874 (2009).

[CrossRef]

S. Baker, D. Scharstein, J.P Lewis, S. Roth, M. J. Black, and R. Szeliski, “A database and evaluation methodology for optical flow,” Int. J. Comput. Vis.92, 1–31 (2011).

[CrossRef]

J. Poissant and F. Barthelat, “A novel subset splitting procedure for digital image correlation on discontinuous displacement fields,” Exp. Mech.50, 353–364 (2010).

[CrossRef]

G. Besnard, F. Hild, and S. Roux, “Finite-Element’ displacement fields analysis from digital images: Application to Portevin-Le Châtelier bands,” Exp. Mech.46, 789–803 (2006).

[CrossRef]

M. Werlberger, T. Pock, and H. Bischof, “Motion estimation with non-local total variation regularization,” Proceedings of the IEEE conference on Computer Vision and Pattern Recognition (Institute of Electrical and Electronics Engineers, New York, 2010) pp. 2464–2471.

S. Baker, D. Scharstein, J.P Lewis, S. Roth, M. J. Black, and R. Szeliski, “A database and evaluation methodology for optical flow,” Int. J. Comput. Vis.92, 1–31 (2011).

[CrossRef]

D. Sun, E. B. Sudderth, and M. J. Black, “Layered image motion with explicit occlusions, temporal consistency, and depth ordering,” Adv. Neural Inf. Process. Syst.23, 2226–2234 (2010).

M. J. Black and P. Anandan, “The robust estimation of multiple motions: Parametric and piecewise-smooth flow fields,” Comput. Vis. Image Underst.63, 75–104 (1996).

[CrossRef]

D. Sun, E. B. Sudderth, and M. J. Black, “Layered segmentation and optical flow estimation over time,” in Proceedings of the IEEE conference on Computer Vision and Pattern Recognition (Institute of Electrical and Electronics Engineers, New York, 2012) pp. 1768–1775.

M.J. Black, Robust incremental optical flow(PhD. Thesis, Yale University, 1992).

H. A. Bruck, S. R. McNeill, M. A. Sutton, and W. H. Peters, “Digital image correlation using Newton-Raphson method of partial differential correction,” Exp. Mech.29, 261–267 (1989).

[CrossRef]

J. Zhang, Y. Cai, W. Ye, and T.X. Yu, “On the use of the digital image correlation method for heterogeneous deformation measurement of porous solids,” Opt. Lasers Eng.49, 200–209 (2011).

[CrossRef]

Y.N. Chen, W.Q. Jin, L. Zhao, and F.W. Li, “A subpixel motion estimation algorithm based on digital correlation for illumination variant and noise image sequences” Optik120, 835–844 (2009).

[CrossRef]

C-H. Teng, S-H. Lai, Y-S. Chen, and W-H. Hsu, “Accurate optical flow computation under non-uniform brightness variations,” Comput. Vis. Image Underst.97, 315–346 (2005).

[CrossRef]

W. H. Peters, W. F. Ranson, M. A. Sutton, T.C. Chu, and J. Anderson, “Application of digital correlation methods to rigid body mechanics,” Opt. Eng.22, 738–742 (1983).

[CrossRef]

C. Cofaru, W. Philips, and W. Van Paepegem, “A novel speckle pattern - adaptive Digital Image Correlation approach with robust strain calculation,” Opt. Lasers Eng.50, 187–198 (2012).

[CrossRef]

C. Cofaru, W. Philips, and W. Van Paepegem, “A three-frame digital image correlation (DIC) method for the measurement of small displacements and strains,” Meas. Sci. Technol.23, 105406 (14 pp.) (2012).

[CrossRef]

C. Cofaru, W. Philips, and W. Van Paepegem, “Evaluation of digital image correlation techniques using realistic ground truth speckle images,” Meas. Sci. Technol.21, 055102 (17 pp.) (2010).

[CrossRef]

C. Cofaru, W. Philips, and W. Van Paepegem, “Improved Newton-Raphson digital image correlation method for full-field displacement and strain calculation,” Appl. Opt.49, 6472–6484 (2010).

[CrossRef]
[PubMed]

B. Peng, Q. Zhang, W. Zhou, X. Hao, and L. Ding, “Modified correlation criterion for digital image correlation considering the effect of lighting variations in deformation measurements,” Opt. Eng.51, 017004 (2012).

[CrossRef]

B. Pan, A. Asundi, H-M. Xie, and J. X. Gao, “Digital image correlation using iterative least squares and pointwise least squares for displacement field and strain field measurements,” Opt. Lasers Eng.47, 865–874 (2009).

[CrossRef]

F.R. Hampel, E.M. Ronchetti, P.J. Rousseeuw, and W.A. Stahel, Robust Statistics: The Approach Based on Influence Functions (John Wiley & Sons, 1986).

B. Peng, Q. Zhang, W. Zhou, X. Hao, and L. Ding, “Modified correlation criterion for digital image correlation considering the effect of lighting variations in deformation measurements,” Opt. Eng.51, 017004 (2012).

[CrossRef]

M. Ye, R. M. Haralick, and L. G. Shapiro, “Estimating piecewise-smooth optical flow with global matching and graduated optimization,” IEEE Trans. Pattern Anal. Mach. Intell.25, 1625–1630 (2003).

[CrossRef]

J. Réthoré, F. Hild, and S. Roux, “Extended digital image correlation with crack shape optimization,” Int. J. Numer. Meth. Eng.73, 248–272 (2008).

[CrossRef]

J. Réthoré, S. Roux, and F. Hild, “From pictures to extended finite elements: extended digital image correlation (X-DIC),” C.R. Mécanique335, 131–137 (2007).

[CrossRef]

G. Besnard, F. Hild, and S. Roux, “Finite-Element’ displacement fields analysis from digital images: Application to Portevin-Le Châtelier bands,” Exp. Mech.46, 789–803 (2006).

[CrossRef]

C-H. Teng, S-H. Lai, Y-S. Chen, and W-H. Hsu, “Accurate optical flow computation under non-uniform brightness variations,” Comput. Vis. Image Underst.97, 315–346 (2005).

[CrossRef]

P.J. Huber and E.M. Ronchetti, Robust Statistics, 2nd Edition (John Wiley & Sons, New York (NY), 2009).

[CrossRef]

L.B. Meng, G.C. Jin, and X.F. Yao, “Application of iteration and finite element smoothing technique for displacement and strain measurement of digital speckle correlation,” Opt. Lasers Eng.45, 56–73 (2007).

[CrossRef]

Y.N. Chen, W.Q. Jin, L. Zhao, and F.W. Li, “A subpixel motion estimation algorithm based on digital correlation for illumination variant and noise image sequences” Optik120, 835–844 (2009).

[CrossRef]

Y-H. Kim, A. M. Martìnez, and A. C. Kak, “Robust motion estimation under varying illumination,” Image Vis. Comput.23, 365–375 (2005).

[CrossRef]

Y-H. Kim, A. M. Martìnez, and A. C. Kak, “Robust motion estimation under varying illumination,” Image Vis. Comput.23, 365–375 (2005).

[CrossRef]

G. Vendroux and W. G. Knauss, “Submicron deformation field measurements: Part 2. Improved digital image correlation,” Exp. Mech.38, 86–92 (1998).

[CrossRef]

C-H. Teng, S-H. Lai, Y-S. Chen, and W-H. Hsu, “Accurate optical flow computation under non-uniform brightness variations,” Comput. Vis. Image Underst.97, 315–346 (2005).

[CrossRef]

P.J. Rousseeuw and A.M. Leroy, Robust Regression and Outlier Detection (John Wiley & Sons, 1987)

[CrossRef]

S. Baker, D. Scharstein, J.P Lewis, S. Roth, M. J. Black, and R. Szeliski, “A database and evaluation methodology for optical flow,” Int. J. Comput. Vis.92, 1–31 (2011).

[CrossRef]

Y.N. Chen, W.Q. Jin, L. Zhao, and F.W. Li, “A subpixel motion estimation algorithm based on digital correlation for illumination variant and noise image sequences” Optik120, 835–844 (2009).

[CrossRef]

Y-H. Kim, A. M. Martìnez, and A. C. Kak, “Robust motion estimation under varying illumination,” Image Vis. Comput.23, 365–375 (2005).

[CrossRef]

H. A. Bruck, S. R. McNeill, M. A. Sutton, and W. H. Peters, “Digital image correlation using Newton-Raphson method of partial differential correction,” Exp. Mech.29, 261–267 (1989).

[CrossRef]

M. A. Sutton, W. J. Wolters, W. H. Peters, W. F. Ranson, and S. R. McNeill, “Determination of displacements using an improved digital correlation method,” Image Vision Comput.1, 133–139 (1983).

[CrossRef]

L.B. Meng, G.C. Jin, and X.F. Yao, “Application of iteration and finite element smoothing technique for displacement and strain measurement of digital speckle correlation,” Opt. Lasers Eng.45, 56–73 (2007).

[CrossRef]

M. A. Sutton, J-J. Orteu, and H. W. Schreier, Image correlation for shape, motion and deformation measurements (Springer, 2009).

B. Pan, Z. Wang, and Z. Lu, “Genuine full-field deformation measurement of an object with complex shape using reliability-guided digital image correlation,” Opt. Express18, 1011–1023 (2010).

[CrossRef]
[PubMed]

B. Pan, H. Xie, and Z. Wang, “Equivalence of digital image correlation criteria for pattern matching,” Appl. Opt.49, 5501–5509 (2010).

[CrossRef]
[PubMed]

B. Pan, A. Asundi, H-M. Xie, and J. X. Gao, “Digital image correlation using iterative least squares and pointwise least squares for displacement field and strain field measurements,” Opt. Lasers Eng.47, 865–874 (2009).

[CrossRef]

B. Peng, Q. Zhang, W. Zhou, X. Hao, and L. Ding, “Modified correlation criterion for digital image correlation considering the effect of lighting variations in deformation measurements,” Opt. Eng.51, 017004 (2012).

[CrossRef]

H. A. Bruck, S. R. McNeill, M. A. Sutton, and W. H. Peters, “Digital image correlation using Newton-Raphson method of partial differential correction,” Exp. Mech.29, 261–267 (1989).

[CrossRef]

W. H. Peters, W. F. Ranson, M. A. Sutton, T.C. Chu, and J. Anderson, “Application of digital correlation methods to rigid body mechanics,” Opt. Eng.22, 738–742 (1983).

[CrossRef]

M. A. Sutton, W. J. Wolters, W. H. Peters, W. F. Ranson, and S. R. McNeill, “Determination of displacements using an improved digital correlation method,” Image Vision Comput.1, 133–139 (1983).

[CrossRef]

W. H. Peters and W. F. Ranson, “Digital imaging techniques in experimental stress-analysis,” Opt. Eng.21, 427–431 (1982).

[CrossRef]

C. Cofaru, W. Philips, and W. Van Paepegem, “A novel speckle pattern - adaptive Digital Image Correlation approach with robust strain calculation,” Opt. Lasers Eng.50, 187–198 (2012).

[CrossRef]

C. Cofaru, W. Philips, and W. Van Paepegem, “A three-frame digital image correlation (DIC) method for the measurement of small displacements and strains,” Meas. Sci. Technol.23, 105406 (14 pp.) (2012).

[CrossRef]

C. Cofaru, W. Philips, and W. Van Paepegem, “Evaluation of digital image correlation techniques using realistic ground truth speckle images,” Meas. Sci. Technol.21, 055102 (17 pp.) (2010).

[CrossRef]

C. Cofaru, W. Philips, and W. Van Paepegem, “Improved Newton-Raphson digital image correlation method for full-field displacement and strain calculation,” Appl. Opt.49, 6472–6484 (2010).

[CrossRef]
[PubMed]

M. Werlberger, T. Pock, and H. Bischof, “Motion estimation with non-local total variation regularization,” Proceedings of the IEEE conference on Computer Vision and Pattern Recognition (Institute of Electrical and Electronics Engineers, New York, 2010) pp. 2464–2471.

J. Poissant and F. Barthelat, “A novel subset splitting procedure for digital image correlation on discontinuous displacement fields,” Exp. Mech.50, 353–364 (2010).

[CrossRef]

W. H. Peters, W. F. Ranson, M. A. Sutton, T.C. Chu, and J. Anderson, “Application of digital correlation methods to rigid body mechanics,” Opt. Eng.22, 738–742 (1983).

[CrossRef]

M. A. Sutton, W. J. Wolters, W. H. Peters, W. F. Ranson, and S. R. McNeill, “Determination of displacements using an improved digital correlation method,” Image Vision Comput.1, 133–139 (1983).

[CrossRef]

W. H. Peters and W. F. Ranson, “Digital imaging techniques in experimental stress-analysis,” Opt. Eng.21, 427–431 (1982).

[CrossRef]

X. Ren, “Local grouping for optical flow,” in Proceedings of the IEEE conference on Computer Vision and Pattern Recognition (Institute of Electrical and Electronics Engineers, New York, 2008) pp. 1–8.

J. Réthoré, F. Hild, and S. Roux, “Extended digital image correlation with crack shape optimization,” Int. J. Numer. Meth. Eng.73, 248–272 (2008).

[CrossRef]

J. Réthoré, S. Roux, and F. Hild, “From pictures to extended finite elements: extended digital image correlation (X-DIC),” C.R. Mécanique335, 131–137 (2007).

[CrossRef]

P.J. Huber and E.M. Ronchetti, Robust Statistics, 2nd Edition (John Wiley & Sons, New York (NY), 2009).

[CrossRef]

F.R. Hampel, E.M. Ronchetti, P.J. Rousseeuw, and W.A. Stahel, Robust Statistics: The Approach Based on Influence Functions (John Wiley & Sons, 1986).

S. Baker, D. Scharstein, J.P Lewis, S. Roth, M. J. Black, and R. Szeliski, “A database and evaluation methodology for optical flow,” Int. J. Comput. Vis.92, 1–31 (2011).

[CrossRef]

P.J. Rousseeuw and A.M. Leroy, Robust Regression and Outlier Detection (John Wiley & Sons, 1987)

[CrossRef]

F.R. Hampel, E.M. Ronchetti, P.J. Rousseeuw, and W.A. Stahel, Robust Statistics: The Approach Based on Influence Functions (John Wiley & Sons, 1986).

J. Réthoré, F. Hild, and S. Roux, “Extended digital image correlation with crack shape optimization,” Int. J. Numer. Meth. Eng.73, 248–272 (2008).

[CrossRef]

J. Réthoré, S. Roux, and F. Hild, “From pictures to extended finite elements: extended digital image correlation (X-DIC),” C.R. Mécanique335, 131–137 (2007).

[CrossRef]

G. Besnard, F. Hild, and S. Roux, “Finite-Element’ displacement fields analysis from digital images: Application to Portevin-Le Châtelier bands,” Exp. Mech.46, 789–803 (2006).

[CrossRef]

S. Baker, D. Scharstein, J.P Lewis, S. Roth, M. J. Black, and R. Szeliski, “A database and evaluation methodology for optical flow,” Int. J. Comput. Vis.92, 1–31 (2011).

[CrossRef]

M. A. Sutton, J-J. Orteu, and H. W. Schreier, Image correlation for shape, motion and deformation measurements (Springer, 2009).

M. Ye, R. M. Haralick, and L. G. Shapiro, “Estimating piecewise-smooth optical flow with global matching and graduated optimization,” IEEE Trans. Pattern Anal. Mach. Intell.25, 1625–1630 (2003).

[CrossRef]

F.R. Hampel, E.M. Ronchetti, P.J. Rousseeuw, and W.A. Stahel, Robust Statistics: The Approach Based on Influence Functions (John Wiley & Sons, 1986).

D. Sun, E. B. Sudderth, and M. J. Black, “Layered image motion with explicit occlusions, temporal consistency, and depth ordering,” Adv. Neural Inf. Process. Syst.23, 2226–2234 (2010).

D. Sun, E. B. Sudderth, and M. J. Black, “Layered segmentation and optical flow estimation over time,” in Proceedings of the IEEE conference on Computer Vision and Pattern Recognition (Institute of Electrical and Electronics Engineers, New York, 2012) pp. 1768–1775.

D. Sun, E. B. Sudderth, and M. J. Black, “Layered image motion with explicit occlusions, temporal consistency, and depth ordering,” Adv. Neural Inf. Process. Syst.23, 2226–2234 (2010).

D. Sun, E. B. Sudderth, and M. J. Black, “Layered segmentation and optical flow estimation over time,” in Proceedings of the IEEE conference on Computer Vision and Pattern Recognition (Institute of Electrical and Electronics Engineers, New York, 2012) pp. 1768–1775.

H. A. Bruck, S. R. McNeill, M. A. Sutton, and W. H. Peters, “Digital image correlation using Newton-Raphson method of partial differential correction,” Exp. Mech.29, 261–267 (1989).

[CrossRef]

W. H. Peters, W. F. Ranson, M. A. Sutton, T.C. Chu, and J. Anderson, “Application of digital correlation methods to rigid body mechanics,” Opt. Eng.22, 738–742 (1983).

[CrossRef]

M. A. Sutton, W. J. Wolters, W. H. Peters, W. F. Ranson, and S. R. McNeill, “Determination of displacements using an improved digital correlation method,” Image Vision Comput.1, 133–139 (1983).

[CrossRef]

M. A. Sutton, J-J. Orteu, and H. W. Schreier, Image correlation for shape, motion and deformation measurements (Springer, 2009).

S. Baker, D. Scharstein, J.P Lewis, S. Roth, M. J. Black, and R. Szeliski, “A database and evaluation methodology for optical flow,” Int. J. Comput. Vis.92, 1–31 (2011).

[CrossRef]

C-H. Teng, S-H. Lai, Y-S. Chen, and W-H. Hsu, “Accurate optical flow computation under non-uniform brightness variations,” Comput. Vis. Image Underst.97, 315–346 (2005).

[CrossRef]

C. Cofaru, W. Philips, and W. Van Paepegem, “A three-frame digital image correlation (DIC) method for the measurement of small displacements and strains,” Meas. Sci. Technol.23, 105406 (14 pp.) (2012).

[CrossRef]

C. Cofaru, W. Philips, and W. Van Paepegem, “A novel speckle pattern - adaptive Digital Image Correlation approach with robust strain calculation,” Opt. Lasers Eng.50, 187–198 (2012).

[CrossRef]

C. Cofaru, W. Philips, and W. Van Paepegem, “Evaluation of digital image correlation techniques using realistic ground truth speckle images,” Meas. Sci. Technol.21, 055102 (17 pp.) (2010).

[CrossRef]

C. Cofaru, W. Philips, and W. Van Paepegem, “Improved Newton-Raphson digital image correlation method for full-field displacement and strain calculation,” Appl. Opt.49, 6472–6484 (2010).

[CrossRef]
[PubMed]

G. Vendroux and W. G. Knauss, “Submicron deformation field measurements: Part 2. Improved digital image correlation,” Exp. Mech.38, 86–92 (1998).

[CrossRef]

B. Pan, Z. Wang, and Z. Lu, “Genuine full-field deformation measurement of an object with complex shape using reliability-guided digital image correlation,” Opt. Express18, 1011–1023 (2010).

[CrossRef]
[PubMed]

B. Pan, H. Xie, and Z. Wang, “Equivalence of digital image correlation criteria for pattern matching,” Appl. Opt.49, 5501–5509 (2010).

[CrossRef]
[PubMed]

Y. Weiss, “Smoothness in layers: Motion segmentation using nonparametric mixture estimation,” in Proceedings of the IEEE conference on Computer Vision and Pattern Recognition (Institute of Electrical and Electronics Engineers, New York, 1997) pp. 520–526.

[CrossRef]

M. Werlberger, T. Pock, and H. Bischof, “Motion estimation with non-local total variation regularization,” Proceedings of the IEEE conference on Computer Vision and Pattern Recognition (Institute of Electrical and Electronics Engineers, New York, 2010) pp. 2464–2471.

M. A. Sutton, W. J. Wolters, W. H. Peters, W. F. Ranson, and S. R. McNeill, “Determination of displacements using an improved digital correlation method,” Image Vision Comput.1, 133–139 (1983).

[CrossRef]

B. Pan, A. Asundi, H-M. Xie, and J. X. Gao, “Digital image correlation using iterative least squares and pointwise least squares for displacement field and strain field measurements,” Opt. Lasers Eng.47, 865–874 (2009).

[CrossRef]

L.B. Meng, G.C. Jin, and X.F. Yao, “Application of iteration and finite element smoothing technique for displacement and strain measurement of digital speckle correlation,” Opt. Lasers Eng.45, 56–73 (2007).

[CrossRef]

M. Ye, R. M. Haralick, and L. G. Shapiro, “Estimating piecewise-smooth optical flow with global matching and graduated optimization,” IEEE Trans. Pattern Anal. Mach. Intell.25, 1625–1630 (2003).

[CrossRef]

J. Zhang, Y. Cai, W. Ye, and T.X. Yu, “On the use of the digital image correlation method for heterogeneous deformation measurement of porous solids,” Opt. Lasers Eng.49, 200–209 (2011).

[CrossRef]

J. Zhang, Y. Cai, W. Ye, and T.X. Yu, “On the use of the digital image correlation method for heterogeneous deformation measurement of porous solids,” Opt. Lasers Eng.49, 200–209 (2011).

[CrossRef]

J. Zhang, Y. Cai, W. Ye, and T.X. Yu, “On the use of the digital image correlation method for heterogeneous deformation measurement of porous solids,” Opt. Lasers Eng.49, 200–209 (2011).

[CrossRef]

B. Peng, Q. Zhang, W. Zhou, X. Hao, and L. Ding, “Modified correlation criterion for digital image correlation considering the effect of lighting variations in deformation measurements,” Opt. Eng.51, 017004 (2012).

[CrossRef]

Y.N. Chen, W.Q. Jin, L. Zhao, and F.W. Li, “A subpixel motion estimation algorithm based on digital correlation for illumination variant and noise image sequences” Optik120, 835–844 (2009).

[CrossRef]

B. Peng, Q. Zhang, W. Zhou, X. Hao, and L. Ding, “Modified correlation criterion for digital image correlation considering the effect of lighting variations in deformation measurements,” Opt. Eng.51, 017004 (2012).

[CrossRef]

D. Sun, E. B. Sudderth, and M. J. Black, “Layered image motion with explicit occlusions, temporal consistency, and depth ordering,” Adv. Neural Inf. Process. Syst.23, 2226–2234 (2010).

Y. Sun, J.H.L. Pang, C.K. Wong, and F. Su, “Finite element formulation for a digital image correlation method,” Appl. Opt.44, 7357–7363 (2005).

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