B. Pan, W. Dafang, and X. Yong, “Incremental calculation for large deformation measurement using reliability-guided digital image correlation,” Opt. Lasers Eng. 50, 586–592 (2012).

[CrossRef]

Y. Zhou and Y. Chen, “Propagation function for accurate initialization and efficiency enhancement of digital image correlation,” Opt. Lasers Eng. 50, 1789–1797 (2012).

[CrossRef]

B. Pan and K. Li, “A fast digital image correlation method for deformation measurement,” Opt. Lasers Eng. 49, 841–847 (2011).

[CrossRef]

Z. Hu, H. Xie, J. Lu, T. Hua, and J. Zhu, “Study of the performance of different subpixel image correlation methods in 3D digital image correlation,” Appl. Opt. 49, 4044–4051 (2010).

[CrossRef]

B. Pan, Z. Lu, and H. Xie, “Mean intensity gradient: an effective global parameter for quality assessment of the speckle patterns used in digital image correlation,” Opt. Lasers Eng. 48, 469–477 (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. Express 18, 1011–1023 (2010).

[CrossRef]

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

[CrossRef]

B. Pan, “Reliability-guided digital image correlation for image deformation measurement,” Appl. Opt. 48, 1535–1542(2009).

[CrossRef]

J. Orteu, “3-D computer vision in experimental mechanics,” Opt. Lasers Eng. 47, 282–291 (2009).

[CrossRef]

B. Pan, K. Qian, H. Xie, and A. Asundi, “Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review,” Meas. Sci. Technol. 20, 062001 (2009).

[CrossRef]

J. Gao and H. Shang, “Deformation-pattern-based digital image correlation method and its application to residual stress measurement,” Appl. Opt. 48, 1371–1381 (2009).

[CrossRef]

B. Pan, A. Asundi, H. Xie, and J. 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]

Y. Wang, M. Sutton, H. Bruck, and H. Schreier, “Quantitative error assessment in pattern matching: effects of intensity pattern noise, interpolation, strain and image contrast on motion measurements,” Strain 45, 160–178 (2009).

[CrossRef]

B. Pan, H. Xie, Z. Wang, K. Qian, and Z. Wang, “Study on subset size selection in digital image correlation for speckle patterns,” Opt. Express 16, 7037–7048 (2008).

[CrossRef]

H. Bay, A. Ess, T. Tuytelaars, and L. Van Gool, “Speeded-up robust features (surf),” Comput. Vis. Image Underst. 110, 346–359 (2008).

[CrossRef]

Y. Sun and J. Pang, “Study of optimal subset size in digital image correlation of speckle pattern images,” Opt. Lasers Eng. 45, 967–974 (2007).

[CrossRef]

M. Sutton, J. Yan, X. Deng, C. Cheng, and P. Zavattieri, “Three-dimensional digital image correlation to quantify deformation and crack-opening displacement in ductile aluminum under mixed-mode I/III loading,” Opt. Eng. 46, 051003 (2007).

[CrossRef]

Z. Zhang, Y. Kang, H. Wang, Q. Qin, Y. Qiu, and X. Li, “A novel coarse-fine search scheme for digital image correlation method,” Measurement 39, 710–718 (2006).

[CrossRef]

B. Pan, H. Xie, B. Xu, and F. Dai, “Performance of sub-pixel registration algorithms in digital image correlation,” Meas. Sci. Technol. 17, 1615–1621 (2006).

[CrossRef]

K. Mikolajczyk and C. Schmid, “Scale & affine invariant interest point detectors,” Int. J. Comput. Vis. 60, 63–86 (2004).

[CrossRef]

D. Lowe, “Distinctive image features from scale-invariant keypoints,” Int. J. Comput. Vis. 60, 91–110 (2004).

[CrossRef]

D. Tsai and C. Lin, “Fast normalized cross correlation for defect detection,” Pattern Recogn. Lett. 24, 2625–2631 (2003).

[CrossRef]

F. Hild, B. Raka, M. Baudequin, S. Roux, and F. Cantelaube, “Multiscale displacement field measurements of compressed mineral-wool samples by digital image correlation,” Appl. Opt. 41, 6815–6828 (2002).

[CrossRef]

H. Schreier and M. Sutton, “Systematic errors in digital image correlation due to undermatched subset shape functions,” Exp. Mech. 42, 303–310 (2002).

[CrossRef]

P. Zhou and K. Goodson, “Subpixel displacement and deformation gradient measurement using digital image/speckle correlation,” Opt. Eng. 40, 1613–1620 (2001).

[CrossRef]

H. Schreier, J. Braasch, and M. Sutton, “Systematic errors in digital image correlation caused by intensity interpolation,” Opt. Eng. 39, 2915–2921 (2000).

[CrossRef]

H. Lu and P. Cary, “Deformation measurements by digital image correlation: implementation of a second-order displacement gradient,” Exp. Mech. 40, 393–400 (2000).

[CrossRef]

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

[CrossRef]

Z. Kahn-Jetter and T. Chu, “Three-dimensional displacement measurements using digital image correlation and photogrammic analysis,” Exp. Mech. 30, 10–16 (1990).

[CrossRef]

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

[CrossRef]

M. Sutton, C. MingQi, W. Peters, Y. Chao, and S. McNeill, “Application of an optimized digital correlation method to planar deformation analysis,” Image Vis. Comput. 4, 143–150 (1986).

[CrossRef]

T. Chu, W. Ranson, and M. Sutton, “Applications of digital-image-correlation techniques to experimental mechanics,” Exp. Mech. 25, 232–244 (1985).

[CrossRef]

Z. He, M. Sutton, W. Ranson, and W. Peters, “Two-dimensional fluid-velocity measurements by use of digital-speckle correlation techniques,” Exp. Mech. 24, 117–121 (1984).

[CrossRef]

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

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

[CrossRef]

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

M. Fischler and R. Bolles, “Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,” Commun. ACM 24, 381–395 (1981).

[CrossRef]

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

B. Pan, K. Qian, H. Xie, and A. Asundi, “Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review,” Meas. Sci. Technol. 20, 062001 (2009).

[CrossRef]

B. Pan, A. Asundi, H. Xie, and J. 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]

H. Bay, A. Ess, T. Tuytelaars, and L. Van Gool, “Speeded-up robust features (surf),” Comput. Vis. Image Underst. 110, 346–359 (2008).

[CrossRef]

M. Fischler and R. Bolles, “Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,” Commun. ACM 24, 381–395 (1981).

[CrossRef]

H. Schreier, J. Braasch, and M. Sutton, “Systematic errors in digital image correlation caused by intensity interpolation,” Opt. Eng. 39, 2915–2921 (2000).

[CrossRef]

Y. Wang, M. Sutton, H. Bruck, and H. Schreier, “Quantitative error assessment in pattern matching: effects of intensity pattern noise, interpolation, strain and image contrast on motion measurements,” Strain 45, 160–178 (2009).

[CrossRef]

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

[CrossRef]

H. Lu and P. Cary, “Deformation measurements by digital image correlation: implementation of a second-order displacement gradient,” Exp. Mech. 40, 393–400 (2000).

[CrossRef]

M. Sutton, C. MingQi, W. Peters, Y. Chao, and S. McNeill, “Application of an optimized digital correlation method to planar deformation analysis,” Image Vis. Comput. 4, 143–150 (1986).

[CrossRef]

Y. Zhou and Y. Chen, “Propagation function for accurate initialization and efficiency enhancement of digital image correlation,” Opt. Lasers Eng. 50, 1789–1797 (2012).

[CrossRef]

M. Sutton, J. Yan, X. Deng, C. Cheng, and P. Zavattieri, “Three-dimensional digital image correlation to quantify deformation and crack-opening displacement in ductile aluminum under mixed-mode I/III loading,” Opt. Eng. 46, 051003 (2007).

[CrossRef]

Z. Kahn-Jetter and T. Chu, “Three-dimensional displacement measurements using digital image correlation and photogrammic analysis,” Exp. Mech. 30, 10–16 (1990).

[CrossRef]

T. Chu, W. Ranson, and M. Sutton, “Applications of digital-image-correlation techniques to experimental mechanics,” Exp. Mech. 25, 232–244 (1985).

[CrossRef]

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

B. Pan, W. Dafang, and X. Yong, “Incremental calculation for large deformation measurement using reliability-guided digital image correlation,” Opt. Lasers Eng. 50, 586–592 (2012).

[CrossRef]

B. Pan, H. Xie, B. Xu, and F. Dai, “Performance of sub-pixel registration algorithms in digital image correlation,” Meas. Sci. Technol. 17, 1615–1621 (2006).

[CrossRef]

M. Sutton, J. Yan, X. Deng, C. Cheng, and P. Zavattieri, “Three-dimensional digital image correlation to quantify deformation and crack-opening displacement in ductile aluminum under mixed-mode I/III loading,” Opt. Eng. 46, 051003 (2007).

[CrossRef]

H. Bay, A. Ess, T. Tuytelaars, and L. Van Gool, “Speeded-up robust features (surf),” Comput. Vis. Image Underst. 110, 346–359 (2008).

[CrossRef]

M. Fischler and R. Bolles, “Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,” Commun. ACM 24, 381–395 (1981).

[CrossRef]

P. Zhou and K. Goodson, “Subpixel displacement and deformation gradient measurement using digital image/speckle correlation,” Opt. Eng. 40, 1613–1620 (2001).

[CrossRef]

C. Harris and M. Stephens, “A combined corner and edge detector,” in Proceedings of Alvey Vision Conference, Vol. 15 (British Machine Vision Association and Society for Pattern Recognition, 1988), p. 50.

Z. He, M. Sutton, W. Ranson, and W. Peters, “Two-dimensional fluid-velocity measurements by use of digital-speckle correlation techniques,” Exp. Mech. 24, 117–121 (1984).

[CrossRef]

Z. Kahn-Jetter and T. Chu, “Three-dimensional displacement measurements using digital image correlation and photogrammic analysis,” Exp. Mech. 30, 10–16 (1990).

[CrossRef]

Z. Zhang, Y. Kang, H. Wang, Q. Qin, Y. Qiu, and X. Li, “A novel coarse-fine search scheme for digital image correlation method,” Measurement 39, 710–718 (2006).

[CrossRef]

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

[CrossRef]

B. Pan and K. Li, “A fast digital image correlation method for deformation measurement,” Opt. Lasers Eng. 49, 841–847 (2011).

[CrossRef]

Z. Zhang, Y. Kang, H. Wang, Q. Qin, Y. Qiu, and X. Li, “A novel coarse-fine search scheme for digital image correlation method,” Measurement 39, 710–718 (2006).

[CrossRef]

D. Tsai and C. Lin, “Fast normalized cross correlation for defect detection,” Pattern Recogn. Lett. 24, 2625–2631 (2003).

[CrossRef]

D. Lowe, “Distinctive image features from scale-invariant keypoints,” Int. J. Comput. Vis. 60, 91–110 (2004).

[CrossRef]

H. Lu and P. Cary, “Deformation measurements by digital image correlation: implementation of a second-order displacement gradient,” Exp. Mech. 40, 393–400 (2000).

[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. Express 18, 1011–1023 (2010).

[CrossRef]

B. Pan, Z. Lu, and H. Xie, “Mean intensity gradient: an effective global parameter for quality assessment of the speckle patterns used in digital image correlation,” Opt. Lasers Eng. 48, 469–477 (2010).

[CrossRef]

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

[CrossRef]

M. Sutton, C. MingQi, W. Peters, Y. Chao, and S. McNeill, “Application of an optimized digital correlation method to planar deformation analysis,” Image Vis. Comput. 4, 143–150 (1986).

[CrossRef]

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

[CrossRef]

K. Mikolajczyk and C. Schmid, “Scale & affine invariant interest point detectors,” Int. J. Comput. Vis. 60, 63–86 (2004).

[CrossRef]

M. Sutton, C. MingQi, W. Peters, Y. Chao, and S. McNeill, “Application of an optimized digital correlation method to planar deformation analysis,” Image Vis. Comput. 4, 143–150 (1986).

[CrossRef]

J. Nocedal and S. Wright, Numerical Optimization, 2nd ed. (Springer Verlag, 2006).

J. Orteu, “3-D computer vision in experimental mechanics,” Opt. Lasers Eng. 47, 282–291 (2009).

[CrossRef]

M. Sutton, J. Orteu, and H. Schreier, Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts, Theory and Applications (Springer Verlag, 2009).

B. Pan, W. Dafang, and X. Yong, “Incremental calculation for large deformation measurement using reliability-guided digital image correlation,” Opt. Lasers Eng. 50, 586–592 (2012).

[CrossRef]

B. Pan and K. Li, “A fast digital image correlation method for deformation measurement,” Opt. Lasers Eng. 49, 841–847 (2011).

[CrossRef]

B. Pan, H. Xie, and Z. Wang, “Equivalence of digital image correlation criteria for pattern matching,” Appl. Opt. 49, 5501–5509 (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. Express 18, 1011–1023 (2010).

[CrossRef]

B. Pan, Z. Lu, and H. Xie, “Mean intensity gradient: an effective global parameter for quality assessment of the speckle patterns used in digital image correlation,” Opt. Lasers Eng. 48, 469–477 (2010).

[CrossRef]

B. Pan, K. Qian, H. Xie, and A. Asundi, “Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review,” Meas. Sci. Technol. 20, 062001 (2009).

[CrossRef]

B. Pan, A. Asundi, H. Xie, and J. 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. Pan, “Reliability-guided digital image correlation for image deformation measurement,” Appl. Opt. 48, 1535–1542(2009).

[CrossRef]

B. Pan, H. Xie, Z. Wang, K. Qian, and Z. Wang, “Study on subset size selection in digital image correlation for speckle patterns,” Opt. Express 16, 7037–7048 (2008).

[CrossRef]

B. Pan, H. Xie, B. Xu, and F. Dai, “Performance of sub-pixel registration algorithms in digital image correlation,” Meas. Sci. Technol. 17, 1615–1621 (2006).

[CrossRef]

Y. Sun and J. Pang, “Study of optimal subset size in digital image correlation of speckle pattern images,” Opt. Lasers Eng. 45, 967–974 (2007).

[CrossRef]

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

[CrossRef]

M. Sutton, C. MingQi, W. Peters, Y. Chao, and S. McNeill, “Application of an optimized digital correlation method to planar deformation analysis,” Image Vis. Comput. 4, 143–150 (1986).

[CrossRef]

Z. He, M. Sutton, W. Ranson, and W. Peters, “Two-dimensional fluid-velocity measurements by use of digital-speckle correlation techniques,” Exp. Mech. 24, 117–121 (1984).

[CrossRef]

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

[CrossRef]

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

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

B. Pan, K. Qian, H. Xie, and A. Asundi, “Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review,” Meas. Sci. Technol. 20, 062001 (2009).

[CrossRef]

B. Pan, H. Xie, Z. Wang, K. Qian, and Z. Wang, “Study on subset size selection in digital image correlation for speckle patterns,” Opt. Express 16, 7037–7048 (2008).

[CrossRef]

Z. Zhang, Y. Kang, H. Wang, Q. Qin, Y. Qiu, and X. Li, “A novel coarse-fine search scheme for digital image correlation method,” Measurement 39, 710–718 (2006).

[CrossRef]

Z. Zhang, Y. Kang, H. Wang, Q. Qin, Y. Qiu, and X. Li, “A novel coarse-fine search scheme for digital image correlation method,” Measurement 39, 710–718 (2006).

[CrossRef]

T. Chu, W. Ranson, and M. Sutton, “Applications of digital-image-correlation techniques to experimental mechanics,” Exp. Mech. 25, 232–244 (1985).

[CrossRef]

Z. He, M. Sutton, W. Ranson, and W. Peters, “Two-dimensional fluid-velocity measurements by use of digital-speckle correlation techniques,” Exp. Mech. 24, 117–121 (1984).

[CrossRef]

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

[CrossRef]

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

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

K. Mikolajczyk and C. Schmid, “Scale & affine invariant interest point detectors,” Int. J. Comput. Vis. 60, 63–86 (2004).

[CrossRef]

Y. Wang, M. Sutton, H. Bruck, and H. Schreier, “Quantitative error assessment in pattern matching: effects of intensity pattern noise, interpolation, strain and image contrast on motion measurements,” Strain 45, 160–178 (2009).

[CrossRef]

H. Schreier and M. Sutton, “Systematic errors in digital image correlation due to undermatched subset shape functions,” Exp. Mech. 42, 303–310 (2002).

[CrossRef]

H. Schreier, J. Braasch, and M. Sutton, “Systematic errors in digital image correlation caused by intensity interpolation,” Opt. Eng. 39, 2915–2921 (2000).

[CrossRef]

M. Sutton, J. Orteu, and H. Schreier, Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts, Theory and Applications (Springer Verlag, 2009).

C. Harris and M. Stephens, “A combined corner and edge detector,” in Proceedings of Alvey Vision Conference, Vol. 15 (British Machine Vision Association and Society for Pattern Recognition, 1988), p. 50.

Y. Sun and J. Pang, “Study of optimal subset size in digital image correlation of speckle pattern images,” Opt. Lasers Eng. 45, 967–974 (2007).

[CrossRef]

Y. Wang, M. Sutton, H. Bruck, and H. Schreier, “Quantitative error assessment in pattern matching: effects of intensity pattern noise, interpolation, strain and image contrast on motion measurements,” Strain 45, 160–178 (2009).

[CrossRef]

M. Sutton, J. Yan, X. Deng, C. Cheng, and P. Zavattieri, “Three-dimensional digital image correlation to quantify deformation and crack-opening displacement in ductile aluminum under mixed-mode I/III loading,” Opt. Eng. 46, 051003 (2007).

[CrossRef]

H. Schreier and M. Sutton, “Systematic errors in digital image correlation due to undermatched subset shape functions,” Exp. Mech. 42, 303–310 (2002).

[CrossRef]

H. Schreier, J. Braasch, and M. Sutton, “Systematic errors in digital image correlation caused by intensity interpolation,” Opt. Eng. 39, 2915–2921 (2000).

[CrossRef]

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

[CrossRef]

M. Sutton, C. MingQi, W. Peters, Y. Chao, and S. McNeill, “Application of an optimized digital correlation method to planar deformation analysis,” Image Vis. Comput. 4, 143–150 (1986).

[CrossRef]

T. Chu, W. Ranson, and M. Sutton, “Applications of digital-image-correlation techniques to experimental mechanics,” Exp. Mech. 25, 232–244 (1985).

[CrossRef]

Z. He, M. Sutton, W. Ranson, and W. Peters, “Two-dimensional fluid-velocity measurements by use of digital-speckle correlation techniques,” Exp. Mech. 24, 117–121 (1984).

[CrossRef]

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

[CrossRef]

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

M. Sutton, J. Orteu, and H. Schreier, Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts, Theory and Applications (Springer Verlag, 2009).

D. Tsai and C. Lin, “Fast normalized cross correlation for defect detection,” Pattern Recogn. Lett. 24, 2625–2631 (2003).

[CrossRef]

H. Bay, A. Ess, T. Tuytelaars, and L. Van Gool, “Speeded-up robust features (surf),” Comput. Vis. Image Underst. 110, 346–359 (2008).

[CrossRef]

H. Bay, A. Ess, T. Tuytelaars, and L. Van Gool, “Speeded-up robust features (surf),” Comput. Vis. Image Underst. 110, 346–359 (2008).

[CrossRef]

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

[CrossRef]

Z. Zhang, Y. Kang, H. Wang, Q. Qin, Y. Qiu, and X. Li, “A novel coarse-fine search scheme for digital image correlation method,” Measurement 39, 710–718 (2006).

[CrossRef]

Y. Wang, M. Sutton, H. Bruck, and H. Schreier, “Quantitative error assessment in pattern matching: effects of intensity pattern noise, interpolation, strain and image contrast on motion measurements,” Strain 45, 160–178 (2009).

[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. Express 18, 1011–1023 (2010).

[CrossRef]

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

[CrossRef]

B. Pan, H. Xie, Z. Wang, K. Qian, and Z. Wang, “Study on subset size selection in digital image correlation for speckle patterns,” Opt. Express 16, 7037–7048 (2008).

[CrossRef]

B. Pan, H. Xie, Z. Wang, K. Qian, and Z. Wang, “Study on subset size selection in digital image correlation for speckle patterns,” Opt. Express 16, 7037–7048 (2008).

[CrossRef]

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

[CrossRef]

J. Nocedal and S. Wright, Numerical Optimization, 2nd ed. (Springer Verlag, 2006).

Z. Hu, H. Xie, J. Lu, T. Hua, and J. Zhu, “Study of the performance of different subpixel image correlation methods in 3D digital image correlation,” Appl. Opt. 49, 4044–4051 (2010).

[CrossRef]

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

[CrossRef]

B. Pan, Z. Lu, and H. Xie, “Mean intensity gradient: an effective global parameter for quality assessment of the speckle patterns used in digital image correlation,” Opt. Lasers Eng. 48, 469–477 (2010).

[CrossRef]

B. Pan, K. Qian, H. Xie, and A. Asundi, “Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review,” Meas. Sci. Technol. 20, 062001 (2009).

[CrossRef]

B. Pan, A. Asundi, H. Xie, and J. 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. Pan, H. Xie, Z. Wang, K. Qian, and Z. Wang, “Study on subset size selection in digital image correlation for speckle patterns,” Opt. Express 16, 7037–7048 (2008).

[CrossRef]

B. Pan, H. Xie, B. Xu, and F. Dai, “Performance of sub-pixel registration algorithms in digital image correlation,” Meas. Sci. Technol. 17, 1615–1621 (2006).

[CrossRef]

B. Pan, H. Xie, B. Xu, and F. Dai, “Performance of sub-pixel registration algorithms in digital image correlation,” Meas. Sci. Technol. 17, 1615–1621 (2006).

[CrossRef]

M. Sutton, J. Yan, X. Deng, C. Cheng, and P. Zavattieri, “Three-dimensional digital image correlation to quantify deformation and crack-opening displacement in ductile aluminum under mixed-mode I/III loading,” Opt. Eng. 46, 051003 (2007).

[CrossRef]

B. Pan, W. Dafang, and X. Yong, “Incremental calculation for large deformation measurement using reliability-guided digital image correlation,” Opt. Lasers Eng. 50, 586–592 (2012).

[CrossRef]

M. Sutton, J. Yan, X. Deng, C. Cheng, and P. Zavattieri, “Three-dimensional digital image correlation to quantify deformation and crack-opening displacement in ductile aluminum under mixed-mode I/III loading,” Opt. Eng. 46, 051003 (2007).

[CrossRef]

Z. Zhang, Y. Kang, H. Wang, Q. Qin, Y. Qiu, and X. Li, “A novel coarse-fine search scheme for digital image correlation method,” Measurement 39, 710–718 (2006).

[CrossRef]

P. Zhou and K. Goodson, “Subpixel displacement and deformation gradient measurement using digital image/speckle correlation,” Opt. Eng. 40, 1613–1620 (2001).

[CrossRef]

Y. Zhou and Y. Chen, “Propagation function for accurate initialization and efficiency enhancement of digital image correlation,” Opt. Lasers Eng. 50, 1789–1797 (2012).

[CrossRef]

Z. Hu, H. Xie, J. Lu, T. Hua, and J. Zhu, “Study of the performance of different subpixel image correlation methods in 3D digital image correlation,” Appl. Opt. 49, 4044–4051 (2010).

[CrossRef]

J. Gao and H. Shang, “Deformation-pattern-based digital image correlation method and its application to residual stress measurement,” Appl. Opt. 48, 1371–1381 (2009).

[CrossRef]

D. Chen, F. Chiang, Y. Tan, and H. Don, “Digital speckle-displacement measurement using a complex spectrum method,” Appl. Opt. 32, 1839–1849 (1993).

[CrossRef]

F. Hild, B. Raka, M. Baudequin, S. Roux, and F. Cantelaube, “Multiscale displacement field measurements of compressed mineral-wool samples by digital image correlation,” Appl. Opt. 41, 6815–6828 (2002).

[CrossRef]

B. Pan, “Reliability-guided digital image correlation for image deformation measurement,” Appl. Opt. 48, 1535–1542(2009).

[CrossRef]

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

[CrossRef]

M. Fischler and R. Bolles, “Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,” Commun. ACM 24, 381–395 (1981).

[CrossRef]

H. Bay, A. Ess, T. Tuytelaars, and L. Van Gool, “Speeded-up robust features (surf),” Comput. Vis. Image Underst. 110, 346–359 (2008).

[CrossRef]

Z. He, M. Sutton, W. Ranson, and W. Peters, “Two-dimensional fluid-velocity measurements by use of digital-speckle correlation techniques,” Exp. Mech. 24, 117–121 (1984).

[CrossRef]

T. Chu, W. Ranson, and M. Sutton, “Applications of digital-image-correlation techniques to experimental mechanics,” Exp. Mech. 25, 232–244 (1985).

[CrossRef]

Z. Kahn-Jetter and T. Chu, “Three-dimensional displacement measurements using digital image correlation and photogrammic analysis,” Exp. Mech. 30, 10–16 (1990).

[CrossRef]

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

[CrossRef]

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

[CrossRef]

H. Lu and P. Cary, “Deformation measurements by digital image correlation: implementation of a second-order displacement gradient,” Exp. Mech. 40, 393–400 (2000).

[CrossRef]

H. Schreier and M. Sutton, “Systematic errors in digital image correlation due to undermatched subset shape functions,” Exp. Mech. 42, 303–310 (2002).

[CrossRef]

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

[CrossRef]

M. Sutton, C. MingQi, W. Peters, Y. Chao, and S. McNeill, “Application of an optimized digital correlation method to planar deformation analysis,” Image Vis. Comput. 4, 143–150 (1986).

[CrossRef]

K. Mikolajczyk and C. Schmid, “Scale & affine invariant interest point detectors,” Int. J. Comput. Vis. 60, 63–86 (2004).

[CrossRef]

D. Lowe, “Distinctive image features from scale-invariant keypoints,” Int. J. Comput. Vis. 60, 91–110 (2004).

[CrossRef]

B. Pan, K. Qian, H. Xie, and A. Asundi, “Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review,” Meas. Sci. Technol. 20, 062001 (2009).

[CrossRef]

B. Pan, H. Xie, B. Xu, and F. Dai, “Performance of sub-pixel registration algorithms in digital image correlation,” Meas. Sci. Technol. 17, 1615–1621 (2006).

[CrossRef]

Z. Zhang, Y. Kang, H. Wang, Q. Qin, Y. Qiu, and X. Li, “A novel coarse-fine search scheme for digital image correlation method,” Measurement 39, 710–718 (2006).

[CrossRef]

P. Zhou and K. Goodson, “Subpixel displacement and deformation gradient measurement using digital image/speckle correlation,” Opt. Eng. 40, 1613–1620 (2001).

[CrossRef]

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

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

H. Schreier, J. Braasch, and M. Sutton, “Systematic errors in digital image correlation caused by intensity interpolation,” Opt. Eng. 39, 2915–2921 (2000).

[CrossRef]

M. Sutton, J. Yan, X. Deng, C. Cheng, and P. Zavattieri, “Three-dimensional digital image correlation to quantify deformation and crack-opening displacement in ductile aluminum under mixed-mode I/III loading,” Opt. Eng. 46, 051003 (2007).

[CrossRef]

B. Pan, H. Xie, Z. Wang, K. Qian, and Z. Wang, “Study on subset size selection in digital image correlation for speckle patterns,” Opt. Express 16, 7037–7048 (2008).

[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. Express 18, 1011–1023 (2010).

[CrossRef]

J. Orteu, “3-D computer vision in experimental mechanics,” Opt. Lasers Eng. 47, 282–291 (2009).

[CrossRef]

B. Pan, A. Asundi, H. Xie, and J. 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. Pan, Z. Lu, and H. Xie, “Mean intensity gradient: an effective global parameter for quality assessment of the speckle patterns used in digital image correlation,” Opt. Lasers Eng. 48, 469–477 (2010).

[CrossRef]

Y. Sun and J. Pang, “Study of optimal subset size in digital image correlation of speckle pattern images,” Opt. Lasers Eng. 45, 967–974 (2007).

[CrossRef]

B. Pan, W. Dafang, and X. Yong, “Incremental calculation for large deformation measurement using reliability-guided digital image correlation,” Opt. Lasers Eng. 50, 586–592 (2012).

[CrossRef]

Y. Zhou and Y. Chen, “Propagation function for accurate initialization and efficiency enhancement of digital image correlation,” Opt. Lasers Eng. 50, 1789–1797 (2012).

[CrossRef]

B. Pan and K. Li, “A fast digital image correlation method for deformation measurement,” Opt. Lasers Eng. 49, 841–847 (2011).

[CrossRef]

D. Tsai and C. Lin, “Fast normalized cross correlation for defect detection,” Pattern Recogn. Lett. 24, 2625–2631 (2003).

[CrossRef]

Y. Wang, M. Sutton, H. Bruck, and H. Schreier, “Quantitative error assessment in pattern matching: effects of intensity pattern noise, interpolation, strain and image contrast on motion measurements,” Strain 45, 160–178 (2009).

[CrossRef]

M. Sutton, J. Orteu, and H. Schreier, Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts, Theory and Applications (Springer Verlag, 2009).

C. Harris and M. Stephens, “A combined corner and edge detector,” in Proceedings of Alvey Vision Conference, Vol. 15 (British Machine Vision Association and Society for Pattern Recognition, 1988), p. 50.

D. Lowe, “Demo software: Sift keypoint detector” (www.cs.ubc.ca/lowe/keypoints).

J. Nocedal and S. Wright, Numerical Optimization, 2nd ed. (Springer Verlag, 2006).