12.1.3.2.2 Image Registration, Fourier Transform, Spectral Domain Matching

Taylor, P.J.[Peter J.],
Adaptive pattern recognition,
US_Patent4,637,055, Jan 13, 1987
WWW Version. Fourier transform matching BibRef 8701

de Castro, E., and Morandi, C.,
Registration of Translated and Rotated Images Using Finite Fourier Transforms,
PAMI(9), No. 5, September 1987, pp. 700-703. BibRef 8709

Anuta, P.E.,
Spatial Registration of Multispectral and Multitemporal Digital Imagery Using Fast Fourier Transform Techniques,
GeoEl(8), October 1970, pp. 353-368. BibRef 7010
Earlier:
Digital Registration of Multispectral Video Data,
SPIE(7), September 1969, pp. 168-175. Fourier technique for doing the correlation. BibRef

Chen, Q.S., Defrise, M., Deconinck, F.,
Symmetrical Phase-Only Matched Filtering of Fourier-Mellin Transforms for Image Registration and Recognition,
PAMI(16), No. 12, December 1994, pp. 1156-1168.
IEEE Abstract.
IEEE DOI Link A lot of older references. BibRef 9412

Reddy, B.S., Chatterji, B.N.,
An FFT-Based Technique for Translation, Rotation, and Scale-Invariant Image Registration,
IP(5), No. 8, August 1996, pp. 1266-1271.
IEEE DOI Link 9608
BibRef

Keller, Y.[Yosi], Shkolnisky, Y.[Yoel], Averbuch, A.[Amir],
The angular difference function and its application to image registration,
PAMI(27), No. 6, June 2005, pp. 969-976.
IEEE Abstract. 0506
BibRef
And:
A Non Cartesian-FFT Approach to image Alignment,
ICIP05(III: 1048-1051).
IEEE DOI Link 0512
See also Algebraically Accurate Volume Registration Using Euler's Theorem and the 3-D Pseudo-Polar FFT. BibRef

Singer, A., Zhao, Z., Shkolnisky, Y., Hadani, R.,
Viewing Angle Classification of Cryo-Electron Microscopy Images Using Eigenvectors,
SIIMS(4), No. 2, 2011, pp. 723-759.
WWW Version. 1110
BibRef

Singer, A., Shkolnisky, Y.,
Three-Dimensional Structure Determination from Common Lines in Cryo-EM by Eigenvectors and Semidefinite Programming,
SIIMS(4), No. 2, 2011, pp. 543-572.
WWW Version. 1110
See also Algebraically Accurate Volume Registration Using Euler's Theorem and the 3-D Pseudo-Polar FFT. See also angular difference function and its application to image registration, The. BibRef

Keller, Y.[Yosi], Averbuch, A.[Amir], Miller, O.,
Robust phase correlation,
ICPR04(II: 740-743).
IEEE DOI Link 0409
BibRef

Keller, Y.[Yosi], Averbuch, A.[Amir],
Multisensor Image Registration via Implicit Similarity,
PAMI(28), No. 5, May 2006, pp. 794-801.
IEEE DOI Link 0604
BibRef
Earlier:
Robust Image alignment using third-order global motion estimation,
BMVC05(xx-yy).
HTML Version. 0509
BibRef
Earlier:
Implicit similarity: a new approach to multi-sensor image registration,
CVPR03(II: 543-548).
IEEE Abstract. 0307
BibRef

Keller, Y.[Yosi], Averbuch, A.[Amir],
Global parametric image alignment via high-order approximation,
CVIU(109), No. 3, March 2008, pp. 244-259.
WWW Version. 0802
Motion estimation; Non-linear optimization; Large motions BibRef

Goldberg, K.A.[Kenneth A.],
Fourier-transform and global contrast interferometer alignment methods,
US_Patent6,239,878, May 29, 2001
WWW Version. BibRef 0105

Elbakary, M.I.[Mohamed I.], Sundareshan, M.K.[Malur K.],
Accurate representation of local frequency using a computationally efficient Gabor filter fusion approach with application to image registration,
PRL(26), No. 14, 15 October 2005, pp. 2164-2173.
WWW Version. 0510
BibRef

Elbakary, M.I.[Mohamed I.], Sundareshan, M.K.[Malur K.],
Multi-modal image registration using local frequency representation and computer-aided design (CAD) models,
IVC(25), No. 5, 1 May 2007, pp. 663-670.
WWW Version. 0703
Image registration; Object recognition; Multi-sensor signal processing; Sensor fusion BibRef

Liu, H., Guo, B., Feng, Z.,
Pseudo-Log-Polar Fourier Transform for Image Registration,
SPLetters(13), No. 1, January 2006, pp. 17-20.
IEEE DOI Link 0601
BibRef

Essannouni, L.[Leila], Ibn-Elhaj, E.[Elhassane], Aboutajdine, D.[Driss],
Fast cross-spectral image registration using new robust correlation,
RealTimeIP(1), No. 2, December 2006, pp. 123-129.
Springer DOI Link 0001
BibRef

Essannouni, F., Aboutajdine, D.[Driss],
Fast Frequency Template Matching Using Higher Order Statistics,
IP(19), No. 3, March 2010, pp. 826-830.
IEEE DOI Link 1003
BibRef

Duan, W.S.[Wei-Sheng], Kuester, F.[Falko], Gaudiot, J.L.[Jean-Luc], Hammami, O.[Omar],
Automatic object and image alignment using Fourier Descriptors,
IVC(26), No. 9, 1 September 2008, pp. 1196-1206.
WWW Version. 0806
Image alignment; Edge detection; Fourier Descriptors; Correspondence; Transformation; Iterative Closest Point BibRef

Verdu-Monedero, R., Larrey-Ruiz, J.[Jorge], Morales-Sánchez, J.[Juan],
Frequency Implementation of the Euler-Lagrange Equations for Variational Image Registration,
SPLetters(15), No. 1, 2008, pp. 321-324.
IEEE DOI Link 0804
BibRef
Earlier: A2, A3, Only:
Optimal Parameters Selection for Non-parametric Image Registration Methods,
ACIVS06(564-575).
Springer DOI Link 0609
BibRef

Larrey-Ruiz, J.[Jorge], Verdú-Monedero, R.[Rafael], Morales-Sánchez, J.[Juan],
A Fourier Domain Framework for Variational Image Registration,
JMIV(32), No. 1, September 2008, pp. xx-yy.
Springer DOI Link 0804
BibRef

Pan, W.[Wei], Qin, K.H.[Kai-Huai], Chen, Y.[Yao],
An Adaptable-Multilayer Fractional Fourier Transform Approach for Image Registration,
PAMI(31), No. 3, March 2009, pp. 400-414.
IEEE DOI Link 0902
Polar FFT and log-Polar FFT computation technique. Recover large scale changes with arbitrary rotations. BibRef

Bigot, J.[Jeremie], Gamboa, F.[Fabrice], Vimond, M.[Myriam],
Estimation Of Translation, Rotation, and Scaling Between Noisy Images Using The Fourier-Mellin Transform,
SIIMS(2), No. 2, 2009, pp. 614-645.
WWW Version.
WWW Version. 0905
image registration; extended Euclidean transformation; semiparametric estimation; white noise model; M-estimation; Fourier transform; FourierMellin transform BibRef

Tzimiropoulos, G.[Georgios], Argyriou, V.[Vasileios], Zafeiriou, S.[Stefanos], Stathaki, T.[Tania],
Robust FFT-Based Scale-Invariant Image Registration with Image Gradients,
PAMI(32), No. 10, October 2010, pp. 1899-1906.
IEEE DOI Link 1008
FFT correlation in log-polar FFT to setimate scaling and rotation, and spatial domain for translation. Use edge maps. BibRef

Tzimiropoulos, G.[Georgios], Argyriou, V.[Vasileios], Stathaki, T.[Tania],
Subpixel Registration With Gradient Correlation,
IP(20), No. 6, June 2011, pp. 1761-1767.
IEEE DOI Link 1106
BibRef
Earlier:
A Frequency Domain Approach to Roto-translation Estimation using Gradient Cross-Correlation,
BMVC08(xx-yy).
PDF Version. 0809
See also Quad-Tree Motion Estimation in the Frequency Domain Using Gradient Correlation. BibRef

Yuan, Y.[Yuan], Pang, Y.W.[Yan-Wei], Wang, K.Q.[Kong-Qiao], Shang, M.Y.[Mian-You],
Efficient image matching using weighted voting,
PRL(33), No. 4, March 2012, pp. 471-475.
Elsevier DOI Link
WWW Version. 1201
Image matching; Spectral technique; Correspondence establishment; Weighted voting BibRef

Ouyang, W.[Wanli], Zhang, R.[Renqi], Cham, W.K.[Wai-Kuen],
Fast pattern matching using orthogonal Haar transform,
CVPR10(3050-3057).
IEEE DOI Link 1006
BibRef

Padfield, D.[Dirk],
Masked FFT registration,
CVPR10(2918-2925).
IEEE DOI Link 1006
BibRef

Leordeanu, M.[Marius], Hebert, M.[Martial],
A Spectral Technique for Correspondence Problems Using Pairwise Constraints,
ICCV05(II: 1482-1489).
IEEE DOI Link 0510
BibRef

Mandujano, C.E., Mitra, S.,
Cross-power spectrum phase for automated registration of multi/hyperspectral data-cubes for efficient information retrieval,
Southwest02(111-115).
IEEE Top Reference. 0208
BibRef

Schutte, H., Frydrychowicz, S., Schroder, J.,
Scene Matching with Translation Invariant Transforms,
ICPR80(195-198). BibRef 8000

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Image Registration -- Using Edges, Lines, Curves, and Corner and other Features .