J. Sładek, K. Ostrowska, P. Kohut, K. Holak, A. Gaska, and T. Uhl, “Development of a vision-based deflection measurement system and its accuracy assessment,” Measurement 46, 1237–1249 (2013).

[CrossRef]

Q. Ma and S. Ma, “Experimental investigation of the systematic error on photomechanic methods induced by camera self-heating,” Opt. Express 21, 7686–7698 (2013).

[CrossRef]

B. Pan, D. Wu, and Y. Xia, “An active imaging digital image correlation method for deformation measurement insensitive to ambient light,” Opt. Laser Technol. 44, 204–209 (2012).

[CrossRef]

B. Pan, D. Wu, and L. Yu, “Optimization of a three-dimensional digital image correlation system for deformation measurements in extreme environments,” Appl. Opt. 51, 4409–4419 (2012).

[CrossRef]

M. Malesa and M. Kujawinska, “Modified two-dimensional digital image correlation method with capability of merging of data distributed in time,” Appl. Opt. 51, 8641–8655 (2012).

[CrossRef]

A. Piekarczuk, M. Malesa, M. Kujawinska, and K. Malowany, “Application of hybrid fem-dic method for assessment of low-cost building structures,” Exp. Mech. 52, 1297–1311 (2012).

[CrossRef]

Y.-q. Tan, L. Zhang, M. Guo, and L.-y. Shan, “Investigation of the deformation properties of asphalt mixtures with DIC technique,” Constr. Build. Mater. 37, 581–590 (2012).

[CrossRef]

J. Travelletti, C. Delacourt, P. Allemand, J.-P. Malet, R. Schmittbuhl, R. Toussaint, and M. Bastard, “Correlation of multi-temporal ground-based optical images for landslide monitoring: application, potential, and limitations,” ISPRS J. Photogramm. Remote Sens. 70, 39–55 (2012).

[CrossRef]

M. Kujawinska, M. Malesa, K. Malowany, and P. M. Blaszczyk, “Application of image-based methods for monitoring and measurements of structures in power stations,” Key Eng. Mater. 518, 24–36 (2012).

[CrossRef]

M. Malesa, K. Malowany, L. Tyminska-Widmer, E. A. Kwiatkowska, M. Kujawinska, B. J. Rouba, and P. Targowski, “Application of digital image correlation (DIC) for tracking deformations of paintings on canvas,” Proc. SPIE 8084, 80840L (2011).

[CrossRef]

B. Pan, “Recent progress in digital image correlation,” Exp. Mech. 51, 1223–1235 (2011).

[CrossRef]

T. N. Nguyen, J. M. Huntley, R. L. Burguete, and C. R. Coggrave, “Shape and displacement measurement of discontinuous surfaces by combining fringe projection and digital image correlation,” Opt. Eng. 50, 101505 (2011).

[CrossRef]

D. Khennouf, J. Dulieu-Barton, A. R. Chambers, F. J. Lennard, and D. Eastop, “Assessing the feasibility of monitoring strain in historical tapestries using digital image correlation,” Strain 46, 19–32 (2010).

[CrossRef]

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

[CrossRef]

S. Yoneyama, A. Kitagawa, S. Iwata, K. Tani, and H. Kihuta, “Bridge deflection measurement using digital image correlation,” Exp Tech. 3134–40 (2007).

[CrossRef]

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

[CrossRef]

R. Keys, “A method for registration of 3-D shapes,” IEEE Trans. Pattern Anal. Mach. Intell. 14, 239–256 (1992).

[CrossRef]

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

[CrossRef]

R. Keys, “Cubic convolution interpolation for digital image processing,” IEEE Trans. Acoust. Speech Signal Process. 29, 1153–1160 (1981).

[CrossRef]

J. Travelletti, C. Delacourt, P. Allemand, J.-P. Malet, R. Schmittbuhl, R. Toussaint, and M. Bastard, “Correlation of multi-temporal ground-based optical images for landslide monitoring: application, potential, and limitations,” ISPRS J. Photogramm. Remote Sens. 70, 39–55 (2012).

[CrossRef]

J. Travelletti, C. Delacourt, P. Allemand, J.-P. Malet, R. Schmittbuhl, R. Toussaint, and M. Bastard, “Correlation of multi-temporal ground-based optical images for landslide monitoring: application, potential, and limitations,” ISPRS J. Photogramm. Remote Sens. 70, 39–55 (2012).

[CrossRef]

M. Kujawinska, M. Malesa, K. Malowany, and P. M. Blaszczyk, “Application of image-based methods for monitoring and measurements of structures in power stations,” Key Eng. Mater. 518, 24–36 (2012).

[CrossRef]

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

[CrossRef]

G. Bradski and A. Kaehler, Learning Open CV: Computer Vision with the Open CV Library, (O’Reilly, 2008).

T. N. Nguyen, J. M. Huntley, R. L. Burguete, and C. R. Coggrave, “Shape and displacement measurement of discontinuous surfaces by combining fringe projection and digital image correlation,” Opt. Eng. 50, 101505 (2011).

[CrossRef]

D. Khennouf, J. Dulieu-Barton, A. R. Chambers, F. J. Lennard, and D. Eastop, “Assessing the feasibility of monitoring strain in historical tapestries using digital image correlation,” Strain 46, 19–32 (2010).

[CrossRef]

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

[CrossRef]

T. N. Nguyen, J. M. Huntley, R. L. Burguete, and C. R. Coggrave, “Shape and displacement measurement of discontinuous surfaces by combining fringe projection and digital image correlation,” Opt. Eng. 50, 101505 (2011).

[CrossRef]

J. Travelletti, C. Delacourt, P. Allemand, J.-P. Malet, R. Schmittbuhl, R. Toussaint, and M. Bastard, “Correlation of multi-temporal ground-based optical images for landslide monitoring: application, potential, and limitations,” ISPRS J. Photogramm. Remote Sens. 70, 39–55 (2012).

[CrossRef]

D. Khennouf, J. Dulieu-Barton, A. R. Chambers, F. J. Lennard, and D. Eastop, “Assessing the feasibility of monitoring strain in historical tapestries using digital image correlation,” Strain 46, 19–32 (2010).

[CrossRef]

D. Khennouf, J. Dulieu-Barton, A. R. Chambers, F. J. Lennard, and D. Eastop, “Assessing the feasibility of monitoring strain in historical tapestries using digital image correlation,” Strain 46, 19–32 (2010).

[CrossRef]

W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes 3rd Edition: The Art of Scientific Computing (Cambridge, 2007).

J. Sładek, K. Ostrowska, P. Kohut, K. Holak, A. Gaska, and T. Uhl, “Development of a vision-based deflection measurement system and its accuracy assessment,” Measurement 46, 1237–1249 (2013).

[CrossRef]

Y.-q. Tan, L. Zhang, M. Guo, and L.-y. Shan, “Investigation of the deformation properties of asphalt mixtures with DIC technique,” Constr. Build. Mater. 37, 581–590 (2012).

[CrossRef]

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision (Cambridge, 2004).

J. Sładek, K. Ostrowska, P. Kohut, K. Holak, A. Gaska, and T. Uhl, “Development of a vision-based deflection measurement system and its accuracy assessment,” Measurement 46, 1237–1249 (2013).

[CrossRef]

T. N. Nguyen, J. M. Huntley, R. L. Burguete, and C. R. Coggrave, “Shape and displacement measurement of discontinuous surfaces by combining fringe projection and digital image correlation,” Opt. Eng. 50, 101505 (2011).

[CrossRef]

S. Yoneyama, A. Kitagawa, S. Iwata, K. Tani, and H. Kihuta, “Bridge deflection measurement using digital image correlation,” Exp Tech. 3134–40 (2007).

[CrossRef]

G. Bradski and A. Kaehler, Learning Open CV: Computer Vision with the Open CV Library, (O’Reilly, 2008).

R. Keys, “A method for registration of 3-D shapes,” IEEE Trans. Pattern Anal. Mach. Intell. 14, 239–256 (1992).

[CrossRef]

R. Keys, “Cubic convolution interpolation for digital image processing,” IEEE Trans. Acoust. Speech Signal Process. 29, 1153–1160 (1981).

[CrossRef]

D. Khennouf, J. Dulieu-Barton, A. R. Chambers, F. J. Lennard, and D. Eastop, “Assessing the feasibility of monitoring strain in historical tapestries using digital image correlation,” Strain 46, 19–32 (2010).

[CrossRef]

S. Yoneyama, A. Kitagawa, S. Iwata, K. Tani, and H. Kihuta, “Bridge deflection measurement using digital image correlation,” Exp Tech. 3134–40 (2007).

[CrossRef]

S. Yoneyama, A. Kitagawa, S. Iwata, K. Tani, and H. Kihuta, “Bridge deflection measurement using digital image correlation,” Exp Tech. 3134–40 (2007).

[CrossRef]

J. Sładek, K. Ostrowska, P. Kohut, K. Holak, A. Gaska, and T. Uhl, “Development of a vision-based deflection measurement system and its accuracy assessment,” Measurement 46, 1237–1249 (2013).

[CrossRef]

A. Piekarczuk, M. Malesa, M. Kujawinska, and K. Malowany, “Application of hybrid fem-dic method for assessment of low-cost building structures,” Exp. Mech. 52, 1297–1311 (2012).

[CrossRef]

M. Kujawinska, M. Malesa, K. Malowany, and P. M. Blaszczyk, “Application of image-based methods for monitoring and measurements of structures in power stations,” Key Eng. Mater. 518, 24–36 (2012).

[CrossRef]

M. Malesa and M. Kujawinska, “Modified two-dimensional digital image correlation method with capability of merging of data distributed in time,” Appl. Opt. 51, 8641–8655 (2012).

[CrossRef]

M. Malesa, K. Malowany, L. Tyminska-Widmer, E. A. Kwiatkowska, M. Kujawinska, B. J. Rouba, and P. Targowski, “Application of digital image correlation (DIC) for tracking deformations of paintings on canvas,” Proc. SPIE 8084, 80840L (2011).

[CrossRef]

M. Malesa, K. Malowany, L. Tyminska-Widmer, E. A. Kwiatkowska, M. Kujawinska, B. J. Rouba, and P. Targowski, “Application of digital image correlation (DIC) for tracking deformations of paintings on canvas,” Proc. SPIE 8084, 80840L (2011).

[CrossRef]

D. Khennouf, J. Dulieu-Barton, A. R. Chambers, F. J. Lennard, and D. Eastop, “Assessing the feasibility of monitoring strain in historical tapestries using digital image correlation,” Strain 46, 19–32 (2010).

[CrossRef]

M. Malesa and M. Kujawinska, “Modified two-dimensional digital image correlation method with capability of merging of data distributed in time,” Appl. Opt. 51, 8641–8655 (2012).

[CrossRef]

M. Kujawinska, M. Malesa, K. Malowany, and P. M. Blaszczyk, “Application of image-based methods for monitoring and measurements of structures in power stations,” Key Eng. Mater. 518, 24–36 (2012).

[CrossRef]

A. Piekarczuk, M. Malesa, M. Kujawinska, and K. Malowany, “Application of hybrid fem-dic method for assessment of low-cost building structures,” Exp. Mech. 52, 1297–1311 (2012).

[CrossRef]

M. Malesa, K. Malowany, L. Tyminska-Widmer, E. A. Kwiatkowska, M. Kujawinska, B. J. Rouba, and P. Targowski, “Application of digital image correlation (DIC) for tracking deformations of paintings on canvas,” Proc. SPIE 8084, 80840L (2011).

[CrossRef]

J. Travelletti, C. Delacourt, P. Allemand, J.-P. Malet, R. Schmittbuhl, R. Toussaint, and M. Bastard, “Correlation of multi-temporal ground-based optical images for landslide monitoring: application, potential, and limitations,” ISPRS J. Photogramm. Remote Sens. 70, 39–55 (2012).

[CrossRef]

M. Kujawinska, M. Malesa, K. Malowany, and P. M. Blaszczyk, “Application of image-based methods for monitoring and measurements of structures in power stations,” Key Eng. Mater. 518, 24–36 (2012).

[CrossRef]

A. Piekarczuk, M. Malesa, M. Kujawinska, and K. Malowany, “Application of hybrid fem-dic method for assessment of low-cost building structures,” Exp. Mech. 52, 1297–1311 (2012).

[CrossRef]

M. Malesa, K. Malowany, L. Tyminska-Widmer, E. A. Kwiatkowska, M. Kujawinska, B. J. Rouba, and P. Targowski, “Application of digital image correlation (DIC) for tracking deformations of paintings on canvas,” Proc. SPIE 8084, 80840L (2011).

[CrossRef]

T. N. Nguyen, J. M. Huntley, R. L. Burguete, and C. R. Coggrave, “Shape and displacement measurement of discontinuous surfaces by combining fringe projection and digital image correlation,” Opt. Eng. 50, 101505 (2011).

[CrossRef]

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

[CrossRef]

M. Sutton, J. J. Orteu, and H. Schreier, Image Correlation for Shape, Motion and Deformation Measurements (Springer, 2009).

J. Sładek, K. Ostrowska, P. Kohut, K. Holak, A. Gaska, and T. Uhl, “Development of a vision-based deflection measurement system and its accuracy assessment,” Measurement 46, 1237–1249 (2013).

[CrossRef]

B. Pan, D. Wu, and Y. Xia, “An active imaging digital image correlation method for deformation measurement insensitive to ambient light,” Opt. Laser Technol. 44, 204–209 (2012).

[CrossRef]

B. Pan, D. Wu, and L. Yu, “Optimization of a three-dimensional digital image correlation system for deformation measurements in extreme environments,” Appl. Opt. 51, 4409–4419 (2012).

[CrossRef]

B. Pan, “Recent progress in digital image correlation,” Exp. Mech. 51, 1223–1235 (2011).

[CrossRef]

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

[CrossRef]

A. Piekarczuk, M. Malesa, M. Kujawinska, and K. Malowany, “Application of hybrid fem-dic method for assessment of low-cost building structures,” Exp. Mech. 52, 1297–1311 (2012).

[CrossRef]

W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes 3rd Edition: The Art of Scientific Computing (Cambridge, 2007).

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

[CrossRef]

M. Malesa, K. Malowany, L. Tyminska-Widmer, E. A. Kwiatkowska, M. Kujawinska, B. J. Rouba, and P. Targowski, “Application of digital image correlation (DIC) for tracking deformations of paintings on canvas,” Proc. SPIE 8084, 80840L (2011).

[CrossRef]

J. Travelletti, C. Delacourt, P. Allemand, J.-P. Malet, R. Schmittbuhl, R. Toussaint, and M. Bastard, “Correlation of multi-temporal ground-based optical images for landslide monitoring: application, potential, and limitations,” ISPRS J. Photogramm. Remote Sens. 70, 39–55 (2012).

[CrossRef]

M. Sutton, J. J. Orteu, and H. Schreier, Image Correlation for Shape, Motion and Deformation Measurements (Springer, 2009).

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

[CrossRef]

Y.-q. Tan, L. Zhang, M. Guo, and L.-y. Shan, “Investigation of the deformation properties of asphalt mixtures with DIC technique,” Constr. Build. Mater. 37, 581–590 (2012).

[CrossRef]

J. Sładek, K. Ostrowska, P. Kohut, K. Holak, A. Gaska, and T. Uhl, “Development of a vision-based deflection measurement system and its accuracy assessment,” Measurement 46, 1237–1249 (2013).

[CrossRef]

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

[CrossRef]

M. Sutton, J. J. Orteu, and H. Schreier, Image Correlation for Shape, Motion and Deformation Measurements (Springer, 2009).

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

[CrossRef]

Y.-q. Tan, L. Zhang, M. Guo, and L.-y. Shan, “Investigation of the deformation properties of asphalt mixtures with DIC technique,” Constr. Build. Mater. 37, 581–590 (2012).

[CrossRef]

S. Yoneyama, A. Kitagawa, S. Iwata, K. Tani, and H. Kihuta, “Bridge deflection measurement using digital image correlation,” Exp Tech. 3134–40 (2007).

[CrossRef]

M. Malesa, K. Malowany, L. Tyminska-Widmer, E. A. Kwiatkowska, M. Kujawinska, B. J. Rouba, and P. Targowski, “Application of digital image correlation (DIC) for tracking deformations of paintings on canvas,” Proc. SPIE 8084, 80840L (2011).

[CrossRef]

W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes 3rd Edition: The Art of Scientific Computing (Cambridge, 2007).

J. Travelletti, C. Delacourt, P. Allemand, J.-P. Malet, R. Schmittbuhl, R. Toussaint, and M. Bastard, “Correlation of multi-temporal ground-based optical images for landslide monitoring: application, potential, and limitations,” ISPRS J. Photogramm. Remote Sens. 70, 39–55 (2012).

[CrossRef]

J. Travelletti, C. Delacourt, P. Allemand, J.-P. Malet, R. Schmittbuhl, R. Toussaint, and M. Bastard, “Correlation of multi-temporal ground-based optical images for landslide monitoring: application, potential, and limitations,” ISPRS J. Photogramm. Remote Sens. 70, 39–55 (2012).

[CrossRef]

M. Malesa, K. Malowany, L. Tyminska-Widmer, E. A. Kwiatkowska, M. Kujawinska, B. J. Rouba, and P. Targowski, “Application of digital image correlation (DIC) for tracking deformations of paintings on canvas,” Proc. SPIE 8084, 80840L (2011).

[CrossRef]

J. Sładek, K. Ostrowska, P. Kohut, K. Holak, A. Gaska, and T. Uhl, “Development of a vision-based deflection measurement system and its accuracy assessment,” Measurement 46, 1237–1249 (2013).

[CrossRef]

W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes 3rd Edition: The Art of Scientific Computing (Cambridge, 2007).

B. Pan, D. Wu, and Y. Xia, “An active imaging digital image correlation method for deformation measurement insensitive to ambient light,” Opt. Laser Technol. 44, 204–209 (2012).

[CrossRef]

B. Pan, D. Wu, and L. Yu, “Optimization of a three-dimensional digital image correlation system for deformation measurements in extreme environments,” Appl. Opt. 51, 4409–4419 (2012).

[CrossRef]

B. Pan, D. Wu, and Y. Xia, “An active imaging digital image correlation method for deformation measurement insensitive to ambient light,” Opt. Laser Technol. 44, 204–209 (2012).

[CrossRef]

S. Yoneyama, A. Kitagawa, S. Iwata, K. Tani, and H. Kihuta, “Bridge deflection measurement using digital image correlation,” Exp Tech. 3134–40 (2007).

[CrossRef]

Y.-q. Tan, L. Zhang, M. Guo, and L.-y. Shan, “Investigation of the deformation properties of asphalt mixtures with DIC technique,” Constr. Build. Mater. 37, 581–590 (2012).

[CrossRef]

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision (Cambridge, 2004).

Y.-q. Tan, L. Zhang, M. Guo, and L.-y. Shan, “Investigation of the deformation properties of asphalt mixtures with DIC technique,” Constr. Build. Mater. 37, 581–590 (2012).

[CrossRef]

S. Yoneyama, A. Kitagawa, S. Iwata, K. Tani, and H. Kihuta, “Bridge deflection measurement using digital image correlation,” Exp Tech. 3134–40 (2007).

[CrossRef]

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

[CrossRef]

B. Pan, “Recent progress in digital image correlation,” Exp. Mech. 51, 1223–1235 (2011).

[CrossRef]

A. Piekarczuk, M. Malesa, M. Kujawinska, and K. Malowany, “Application of hybrid fem-dic method for assessment of low-cost building structures,” Exp. Mech. 52, 1297–1311 (2012).

[CrossRef]

R. Keys, “Cubic convolution interpolation for digital image processing,” IEEE Trans. Acoust. Speech Signal Process. 29, 1153–1160 (1981).

[CrossRef]

R. Keys, “A method for registration of 3-D shapes,” IEEE Trans. Pattern Anal. Mach. Intell. 14, 239–256 (1992).

[CrossRef]

J. Travelletti, C. Delacourt, P. Allemand, J.-P. Malet, R. Schmittbuhl, R. Toussaint, and M. Bastard, “Correlation of multi-temporal ground-based optical images for landslide monitoring: application, potential, and limitations,” ISPRS J. Photogramm. Remote Sens. 70, 39–55 (2012).

[CrossRef]

M. Kujawinska, M. Malesa, K. Malowany, and P. M. Blaszczyk, “Application of image-based methods for monitoring and measurements of structures in power stations,” Key Eng. Mater. 518, 24–36 (2012).

[CrossRef]

J. Sładek, K. Ostrowska, P. Kohut, K. Holak, A. Gaska, and T. Uhl, “Development of a vision-based deflection measurement system and its accuracy assessment,” Measurement 46, 1237–1249 (2013).

[CrossRef]

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

[CrossRef]

T. N. Nguyen, J. M. Huntley, R. L. Burguete, and C. R. Coggrave, “Shape and displacement measurement of discontinuous surfaces by combining fringe projection and digital image correlation,” Opt. Eng. 50, 101505 (2011).

[CrossRef]

B. Pan, D. Wu, and Y. Xia, “An active imaging digital image correlation method for deformation measurement insensitive to ambient light,” Opt. Laser Technol. 44, 204–209 (2012).

[CrossRef]

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

[CrossRef]

M. Malesa, K. Malowany, L. Tyminska-Widmer, E. A. Kwiatkowska, M. Kujawinska, B. J. Rouba, and P. Targowski, “Application of digital image correlation (DIC) for tracking deformations of paintings on canvas,” Proc. SPIE 8084, 80840L (2011).

[CrossRef]

D. Khennouf, J. Dulieu-Barton, A. R. Chambers, F. J. Lennard, and D. Eastop, “Assessing the feasibility of monitoring strain in historical tapestries using digital image correlation,” Strain 46, 19–32 (2010).

[CrossRef]

M. Sutton, J. J. Orteu, and H. Schreier, Image Correlation for Shape, Motion and Deformation Measurements (Springer, 2009).

G. Bradski and A. Kaehler, Learning Open CV: Computer Vision with the Open CV Library, (O’Reilly, 2008).

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision (Cambridge, 2004).

W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes 3rd Edition: The Art of Scientific Computing (Cambridge, 2007).

The Blender Foundation, “Blender user manual,” 2013, http://wiki.blender.org/index.php/Doc:2.6/Manual .