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 Top Reference.
WWW Version. 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. IEEE Top Reference.
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
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. IEEE Top Reference.
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
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
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
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
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 .