References
- Argyriou, V. and Vlachos, T., 2006, A study of sub-pixel motion estimation using phase correlation. In Proceedings of the British Machine Vision Conference 2006, M. Chantler, B. Fisher and M. Trucco (Eds.), 4–7 September 2006, Edinburgh, UK, BMVA Press, pp. 387–396.
- Averbuch, A. and Keller, Y., 2002, FFT based image registration. In Proceedings of the 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 13–17 May 2002, Orlando, FL (New York: IEEE), pp. 3608–3611.
- Box, G. and Muller, M.E., 1958, A note on the generation of random normal deviates. Annals of Mathematical Statistics, 29, pp. 610–611.
- Debella-Gilo, M. and Kääb, A., 2011, Sub-pixel precision image matching for measuring surface displacements on mass movements using normalized cross-correlation. Remote Sensing of Environment, 115, pp. 130–142.
- Foroosh, H., Zerubia, J.B. and Berthod, M., 2002, Extension of phase correlation to subpixel registration. IEEE Transactions on Image Processing, 11, pp. 188–200.
- Hoge, W.S., 2003, A subspace identification extension to the phase correlation method [MRI application]. IEEE Transactions on Medical Imaging, 22, pp. 277–280.
- Keller, Y., Averbuch, A. and Israeli, M., 2005, Pseudopolar-based estimation of large translations, rotations, and scalings in images. IEEE Transactions on Image Processing, 14, pp. 12–22.
- Leprince, S., Barbot, S., Ayoub, F. and Avouac, J.P., 2007, Automatic and precise orthorectification, coregistration, and subpixel correlation of satellite images, application to ground deformation measurements. IEEE Transactions on Geoscience and Remote Sensing, 45, pp. 1529–1558.
- Nobach, H. and Honkanen, M., 2005, Two-dimensional Gaussian regression for sub-pixel displacement estimation in particle image velocimetry or particle position estimation in particle tracking velocimetry. Experiments in Fluids, 38, pp. 511–515.
- Ojansivu, V. and Heikkila, J., 2007, Image registration using blur-invariant phase correlation. IEEE Signal Processing Letters, 14, pp. 449–452.
- Reddy, B.S. and Chatterji, B., 1996, An FFT-based technique for translation, rotation, and scale-invariant image registration. IEEE Transactions on Image Processing, 5, pp. 1266–1271.
- Reu, P. 2011. Experimental and numerical methods for exact subpixel shifting. Experimental Mechanics, 51, pp. 443–452.
- Stone, H.S., Orchard, M.T., Chang, E.C. and Martucci, S.A. 2001, A fast direct Fourier-based algorithm for subpixel registration of images. IEEE Transactions on Geoscience and Remote Sensing, 39, pp. 2235–2243.
- Sutton, M.A., Orteu, J.-J. and Schreier, H.W., 2009, Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts, Theory and Applications, (New York: Springer Science+Business Media, LLC).
- Tzimiropoulos, G., Argyriou, V. and Stathaki, T., 2011, Subpixel registration with gradient correlation. IEEE Transactions on Image Processing, 20, pp. 1761–1767.
- Tzimiropoulos, G., Argyriou, V., Zafeiriou, S. and Stathaki, T. 2010, Robust FFT-based scale-invariant image registration with image gradients. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32, pp. 1899–1906.
- Weber, A.G., 1997. The USC-SIPI Image Database, 5th ed. (Los Angeles, CA: University of Southern California, Signal and Image Processing Institute, Department of Electrical Engineering).
- Xie, H., Hicks N., Keller, R., Huang, H. and Kreinovich, V. 2003, An IDL/ENVI implementation of the FFT-based algorithm for automatic image registration. Computers & Geosciences, 29, pp. 1045–1055.