Spearman, C.,
The Proof and Measurement of Association Between Two Things,
Am J. Psychol(15), 1904, pp. 72-attenuated.
The corrected correlation coefficient.
BibRef
0400
Crane, H.D.,
Steele, C.M.,
Translation-tolerant mask matching using noncoherent reflective optics,
PR(1), No. 2, November 1968, pp. 129-136.
Elsevier DOI
0309
Correlation match with translation differences.
BibRef
Redpath, D.C.[Donald C.],
Image Correlation System,
US_Patent3,617,625, Nov 1971
WWW Link.
BibRef
7111
Masry, S.E.,
Digital Correlation Principles,
PhEng(40), 1974, pp. 303-308.
BibRef
7400
Kendall, W.B.,
A New Algorithm for Computing Correlations,
TC(23), No. 1, 1974, pp. 88-90.
BibRef
7400
Keating, T.J.,
Wolf, P.R., and
Scarpace, F.L.,
An Improved Method of Digital Image Correlation,
PhEngRS(41), No. 8, August 1975, pp. 993-1002.
Epipolar Constraint. Early matching that explicitly described the epi-polar constraint.
BibRef
7508
Garrett, G.S.,
Reagh, E.L.,
Hibbs, Jr., E.B.,
Detection Threshold Estimation for Digital Area Correlation,
SMC(6), No. 1, 1976, pp. 65-70.
BibRef
7600
Mostafavi, H.,
Optimal Window Functions for Image Correlations in the Presence
of Geometric Distortion,
ASSP(27), 1979, pp. 163-169.
BibRef
7900
Konecny, C., and
Pape, D.,
Correlation Techniques and Devices,
PhEngRS(47), No. 3, March 1981, pp. 323-333.
Remote Sensing.
BibRef
8103
Ryan, T.W.,
Hunt, B.R.,
Recognition of Stereo-Image Cross-Correlation Errors,
PPR82(265-322).
BibRef
8200
Sutton, M.A.,
Wolters, W.J.,
Peters, W.H.,
McNiell, S.R.,
Determination of Displacements Using an Improved
Digital Correlation Method,
IVC(1), No. 3, August 1983, pp. 133-139.
Elsevier DOI
BibRef
8308
Moulton, C.H.[Clifford H.],
Method for analyzing stored image details,
US_Patent4,468,807, Aug 28, 1984
WWW Link.
BibRef
8408
Earlier:
US_Patent4,371,865, 02/01/1983.
HTML Version.
BibRef
Earlier:
Identification system,
US_Patent4,186,378, 01/29/1980.
HTML Version. match stored pattern.
BibRef
Hubach, R.A.[Richard A.],
de Zotell, G.L.[Gary L.],
Sacks, J.[Jack],
Pattern recognition apparatus and method,
US_Patent4,200,861, Apr 29, 1980
WWW Link.
BibRef
8004
Robinson, D.E.,
Chen, C.F.,
Wilson, L.S.,
Image Matching for Pulse Echo Measurement of Ultrasonic Velocity,
IVC(1), No. 3, August 1983, pp. 145-151.
Elsevier DOI
BibRef
8308
Altmann, J., and
Reitbock, H.J.P.,
A Fast Correlation Method for Scale- and Translation-Invariant
Pattern Recognition,
PAMI(6), No. 1, January 1984, pp. 46-57.
BibRef
8401
Goshtasby, A.A.,
Gage, S.H., and
Bartholic, J.F.,
A Two-Stage Cross Correlation Approach to Template Matching,
PAMI(6), No. 3, May, 1984, pp. 374-378.
BibRef
8405
Zhang, M.,
Yu, K.B.,
Haralick, R.M.,
Fast Correlation Registration Method Using Singular Value Decomposition,
IJIS(1), 1986, pp. 181-194.
BibRef
8600
Helava, U.,
Object-Centered Least-Squares Correlation,
PhEngRS(54), No. 6, 1988, pp. 711-744.
BibRef
8800
Havelock, D.I.,
Geometric Precision in Noise-Free Digital Images,
PAMI(11), No. 10, October 1989, pp. 1065-1075.
IEEE DOI
BibRef
8910
Otto, G.P.,
Chau, T.K.W.,
'Region-Growing' Algorithm for Matching of Terrain Images,
IVC(7), No. 2, May 1989, pp. 83-94.
Elsevier DOI
BibRef
8905
James, E.[Enoch],
Stafford, R.[Raymond],
Correlation techniques,
US_Patent4,925,274, 05/15/1990
HTML Version.
BibRef
9005
Irani, G.B.[Geoffrey B.],
Constantikes, K.T.[Kim T.],
Shiflett, G.D.[Gary D.],
Coherent correlation addition for increasing match information in
scene matching navigation systems,
US_Patent5,146,228, 01/24/1990.
HTML Version. Correlate with reference map.
BibRef
9001
Huttenlocher, D.P.,
Klanderman, G.A., and
Rucklidge, W.J.,
Comparing Images Using the Hausdorff Distance,
PAMI(15), No. 9, September 1993, pp. 850-863.
IEEE DOI
PDF File.
BibRef
9309
Earlier:
With A1, A3, A2:
Comparing Images Using the Hausdorff Distance under Translation,
CVPR92(654-656).
IEEE DOI Similar to a binary correlation.
BibRef
Grimson, W.E.L.,
Huttenlocher, D.P.[Daniel P.],
Analyzing the Probability of a False Alarm for the Hausdorff
Distance Under Translation,
ARPA94(II:1257-1262).
BibRef
9400
Huttenlocher, D.P.[Daniel P.],
Jaquith, E.W.[Eric W.],
Method for comparing image sections to determine
similarity therebetween,
US_Patent5,539,841, July 23, 1996.
WWW Link.
BibRef
9607
Huttenlocher, D.P.[Daniel P.],
Jaquith, E.W.[Eric W.],
Computing Visual Correspondence:
Incorporating the Probability of a False Match,
ICCV95(515-522).
IEEE DOI A formal model of missing and poor matches.
BibRef
9500
Rucklidge, W.J.[William J.],
Efficiently Locating Objects Using The Hausdorff Distance,
IJCV(24), No. 3, October 1997, pp. 251-270.
DOI Link
9710
BibRef
Earlier:
Locating Objects Using the Hausdorff Distance,
ICCV95(457-464).
IEEE DOI A template-like match for affine transformations, uses detected features.
See the code:
WWW Link.
BibRef
Huttenlocher, D.P., and
Rucklidge, W.J.,
Multi-Resolution Technique for Comparing Images Using the
Hausdorff Distance,
CVPR93(705-706).
IEEE DOI
BibRef
9300
Caelli, T.M., and
Nagendran, S.,
Fast Edge-Only Matching Techniques for Robot Pattern Matching,
CVGIP(39), No. 2, August 1987, pp. 131-143.
Elsevier DOI This paper does not reference the one by Andrus. Cross-correlation
of only the edge information is developed for a pipeline pixel
processor. A polar technique is used for rotation and size
differences.
BibRef
8708
Bailey, H.H.,
Blackwell, F.W.,
Loveney, C.L., and
Ratkovic, J.A.,
Image Correlation: Part I,
Rand-2057/1-PR, November 1976, Santa Monica, CA.
Simulation and Analysis; target acquisition; map matching;
correlation matching; metric to maximize, limit errors due to
changes and errors - what is best and why-i.e., images without
added edges are best because they are not gaussian.
BibRef
7611
Bailey, H.H.,
Blackwell, F.W.,
Loveney, C.L., and
Ratkovic, J.A.,
Wesseley, H.W.,
Image Correlation: Part II Theoretical Basis,
Rand-2057/1-PR, November 1976, Santa Monica, CA.
BibRef
7611
Witkin, A.P.[Andrew P.],
Terzopoulos, D.[Demetri], and
Kass, M.[Michael],
Signal Matching Through Scale Space,
IJCV(1), No. 2, 1987, pp. 133-144.
Springer DOI
BibRef
8700
Earlier:
AAAI-86(714-719).
Scale Space. The problem is to recover the deformation that maps one set of
signals to another. A minimization of energy measure is used.
This is developed from the earlier work.
BibRef
Terzopoulos, D.,
Witkin, A.P.,
Kass, M.,
Stereo Matching as Constrained Optimization Using
Scale Continuation Methods,
SPIE(754), January 1987, pp. xx.
BibRef
8701
Kass, M.[Michael],
Computing Visual Correspondence,
DARPA83(54-60).
BibRef
8300
And:
A Computational Framework for the Visual
Correspondence Problem,
IJCAI83(1043-1045).
Combination of different size gaussian filters in a stochastic model
of the image to solve the correspondence problem.
BibRef
Luo, A.,
Burkhardt, H.,
An Intensity-Based Cooperative Bidirectional Stereo Matching with
Simultaneous Detection of Discontinuities and Occlusions,
IJCV(15), No. 3, July 1995, pp. 171-188.
Springer DOI Left to right checking on match.
BibRef
9507
Calitz, M.F.,
Ruther, H.,
Least Absolute Deviation (LAD) Image Matching,
PandRS(51), No. 5, October 1996, pp. 223-229.
9611
BibRef
Helm, J.D.,
McNeill, S.R.,
Sutton, M.A.,
Improved 3-Dimensional Image Correlation for
Surface Displacement Measurement,
OptEng(35), No. 7, July 1996, pp. 1911-1920.
9608
BibRef
And:
Correction:
OptEng(36), No. 8, August 1997, pp. 2361.
BibRef
Sutton, M.A.,
Cheng, M.,
Peters, W.H.,
Chao, Y.J.,
McNeill, S.R.,
Application of an Optimized Digital Correlation Method to
Planar Deformation Analysis,
IVC(4), No. 3, August 1986, pp. 143-150.
Elsevier DOI
BibRef
8608
van der Meer, F.,
Bakker, W.,
CCSM: Cross Correlogram Spectral Matching,
JRS(18), No. 5, March 20 1997, pp. 1197-1201.
9704
BibRef
Binaghi, E.,
della Ventura, A.,
Rampini, A.,
Schettini, R.,
Fuzzy Reasoning Approach to Similarity Evaluation in Image Analysis,
IJIS(8), 1993, pp. 749-767.
BibRef
9300
Wilson, D.L.,
Baddeley, A.J.,
Owens, R.A.,
A New Metric for Gray-Scale Image Comparison,
IJCV(24), No. 1, August 1997, pp. 5-17.
DOI Link
9709
BibRef
Lee, M.C.[Ming-Chieh],
Pixel block correlation process,
US_Patent5,784,175, Jul 21, 1998
WWW Link.
BibRef
9807
And:
Polygon block matching method,
US_Patent5,796,855, Aug 18, 1998
WWW Link.
BibRef
Neff, M.G.[Michael G.],
Johnson, T.L.[Ted L.],
Wright, S.A.[Steven A.],
Ratkowski, Jr., V.E.[Victor E.],
Image processing method and apparatus for correlating
a test image with a template,
US_Patent5,809,171, Sep 15, 1998
WWW Link.
BibRef
9809
And:
US_Patent5,982,930, Nov 9, 1999
WWW Link.
BibRef
And:
US_Patent5,982,945, Nov 9, 1999
WWW Link.
BibRef
Bhat, D.N.[Dinkar N.],
Nayar, S.K.[Shree K.],
Ordinal Measures for Image Correspondence,
PAMI(20), No. 4, April 1998, pp. 415-423.
IEEE DOI
9806
BibRef
Earlier:
Ordinal Measures for Visual Correspondence,
CVPR96(351-357).
IEEE DOI
BibRef
And:
ColumbiaTR CUCS-009-96, 1996.
Correlation and sum of squared differences have problems.
Ordinal measures use relative ordering of intensity values.
General tool for matching.
BibRef
Bhat, D.N.[Dinkar N.],
An Evolutionary Measure for Image Matching,
ICPR98(Vol I: 850-852).
IEEE DOI
9808
Correspondence
BibRef
Edwards, J.L.,
Murase, H.[Hiroshi],
Coarse-to-Fine Adaptive Masks for Appearance Matching
of Occluded Scenes,
MVA(10), No. 5-6, April 1998, pp. 232-242.
Springer DOI
9805
BibRef
Earlier:
Appearance Matching of Occluded Objects Using
Coarse-to-Fine Adaptive Masks,
CVPR97(533-539).
IEEE DOI
9704
Shapes at different resolutions.
BibRef
Lan, Z.D.[Zhong-Dan],
Mohr, R.[Roger],
Direct Linear Sub-Pixel Correlation by Incorporation of Neighbor Pixels
Information and Robust Estimation of Window Transformation,
MVA(10), No. 5-6, April 1998, pp. 256-268.
Springer DOI
9805
BibRef
Earlier:
Robust location based partial correlation,
CAIP97(313-320).
Springer DOI
9709
BibRef
Lan, Z.D.[Zhong-Dan],
Mohr, R.[Roger],
Remagnino, P.,
Robust Matching by Partial Correlation,
BMVC95(xx-yy).
PDF File.
9509
BibRef
Mount, D.M.[David M.],
Netanyahu, N.S.[Nathan S.],
Le Moigne, J.[Jacqueline],
Efficient algorithms for robust feature matching,
PR(32), No. 1, January 1999, pp. 17-38.
BibRef
9901
And:
Elsevier DOI
UMD--TR3909, May 1998
Hausdorff Distance. Efficient point matching. Compared with Huttenlocher and Rucklidge.
(
See also Comparing Images Using the Hausdorff Distance. ).
WWW Link.
WWW Link.
BibRef
Izquierdo, M.E.,
Disparity/Segmentation Analysis: Matching with an Adaptive Window and
Depth-Driven Segmentation,
CirSysVideo(9), No. 4, June 1999, pp. 589.
IEEE Top Reference.
BibRef
9906
Earlier:
Improved Disparity Estimation by Matching with an Adaptive Window,
MVA98(xx-yy).
BibRef
Chiu, C.C.[Chin-Chuan],
Oki, T.[Toru],
Paolella, P.[Philip],
Pattern searching method using neural networks and correlation,
US_Patent5,995,652, Nov 30, 1999
WWW Link.
BibRef
9911
Fielding, G.[Gabriel],
Kam, M.[Moshe],
Weighted matchings for dense stereo correspondence,
PR(33), No. 9, September 2000, pp. 1511-1524.
Elsevier DOI
0005
BibRef
Fielding, G.[Gabriel],
Kam, M.[Moshe],
Disparity maps for dynamic stereo,
PR(34), No. 3, March 2001, pp. 531-545.
Elsevier DOI
0101
BibRef
Redert, A.,
Hendriks, E.A.,
Biemond, J.,
Correspondence estimation in image pairs,
SPMag(16), No. 3, May 1999, pp. 29-46.
0201
BibRef
Nakano, H.[Hiroki],
Kitagawa, M.[Masahiko],
Yanagawa, A.[Akira],
Image processing method for system employing pattern matching,
US_Patent6,088,483, Jul 11, 2000
WWW Link.
BibRef
0007
Atallah, M.J.,
Faster image template matching in the sum of the absolute value of
differences measure,
IP(10), No. 4, April 2001, pp. 659-663.
IEEE DOI
0402
BibRef
Veksler, O.[Olga],
Stereo Correspondence with Compact Windows via Minimum Ratio Cycle,
PAMI(24), No. 12, December 2002, pp. 1654-1660.
IEEE Abstract.
0212
BibRef
Earlier:
Stereo Matching by Compact Windows via Minimum Ratio Cycle,
ICCV01(I: 540-547).
IEEE DOI
0106
Use the window in the region to avoid matching across boundaries in
correlation based matching.
See also Dense Features for Semi-Dense Stereo Correspondence.
BibRef
Olson, C.F.[Clark F.],
Maximum-Likelihood Image Matching,
PAMI(24), No. 6, June 2002, pp. 853-857.
IEEE DOI
0206
BibRef
Earlier:
Maximum-Likelihood Template Matching,
CVPR00(II: 52-57).
IEEE DOI
0005
SSD measure sensitive to outliers.
Use probabilistic formulation in terms of maximum-likelihood
for both edge template matching and gray sacle matching.
Generalize edge matching based on distance transforms.
See also Probabilistic Self-Localization for Mobile Robots.
BibRef
Olson, C.F.[Clark F.],
Image Registration by Aligning Entropies,
CVPR01(II:331-336).
IEEE DOI
0110
BibRef
Kaneko, S.[Shun'ichi],
Murase, I.[Ichiro],
Igarashi, S.[Satoru],
Robust image registration by increment sign correlation,
PR(35), No. 10, October 2002, pp. 2223-2234.
Elsevier DOI
0206
BibRef
Kaneko, S.[Shun'ichi],
Satoh, Y.[Yutaka],
Igarashi, S.[Satoru],
Using selective correlation coefficient for robust image registration,
PR(36), No. 5, May 2003, pp. 1165-1173.
Elsevier DOI
0301
BibRef
Camus, T.A.[Theodore A.],
Method for real time correlation of stereo images,
US_Patent6,516,087, Feb 4, 2003
WWW Link.
BibRef
0302
Kim, J.,
Fessler, J.A.,
Intensity-Based Image Registration Using Robust Correlation
Coefficients,
MedImg(23), No. 11, November 2004, pp. 1430-1444.
IEEE Abstract.
0411
To register X-ray images or surgery.
BibRef
Bhagalia, R.,
Fessler, J.A.,
Kim, B.[Boklye],
Accelerated Nonrigid Intensity-Based Image Registration Using
Importance Sampling,
MedImg(28), No. 8, August 2009, pp. 1208-1216.
IEEE DOI
0909
BibRef
Hoge, W.S.,
Westin, C.F.,
Identification of Translational Displacements Between N-Dimensional
Data Sets Using the High-Order SVD and Phase Correlation,
IP(14), No. 7, July 2005, pp. 884-889.
IEEE DOI
0506
BibRef
Schuck, P.W.,
Local Correlation Tracking and the Magnetic Induction Equation,
AstroJ(632), No. 1, October 2005, pp. L53-L56.
HTML Version.
BibRef
0510
Schuck, P.W.,
Tracking Magnetic Footpoints with the Magnetic Induction Equation,
AstroJ(646), August 2006, pages 1358-1391.
WWW Link.
BibRef
0608
Schuck, P.W.[Peter W.],
Tracking Vector Magnetograms with the Magnetic Induction Equation,
ApJ(683), 2008, pp. 1134-1152
DOI Link A variant of the Lucas-Kanade Motion estimation algorithm
IDL code available with the paper free version.
WWW Link.
Code, Tracking.
BibRef
0800
Bhattacharya, C.,
Kar, A.,
Multiple scale correlation of signals by shift-invariant discrete
wavelet transform,
VISP(152), No. 6, December 2005, pp. 837-845.
DOI Link
0512
BibRef
Bhattacharya, C.,
Roy, J.,
Kar, A.,
Multiple scale correlation of chirp signal by discrete wavelet
transform,
ICIP03(III: 149-152).
IEEE DOI
0312
BibRef
Mil'shtein, S.[Samson],
Therrien, J.[Joel],
Method of correlation of images in biometric applications,
US_Patent6,961,449, Nov 1, 2005
WWW Link.
BibRef
0511
Kerekes, R.A.,
Vijaya Kumar, B.V.K.,
Correlation Filters With Controlled Scale Response,
IP(15), No. 7, July 2006, pp. 1794-1802.
IEEE DOI
0606
BibRef
Kadyrov, A.[Alexander],
Petrou, M.[Maria],
The 'Invaders' Algorithm: Range of Values Modulation for Accelerated
Correlation,
PAMI(28), No. 11, November 2006, pp. 1882-1886.
IEEE DOI
0609
BibRef
Earlier:
Fast Registration for 2D Images: The Clock Algorithm,
ICIP03(II: 715-718).
IEEE DOI
0312
Simultaneous computation of several corss correlations.
Shift range of values of different images to occupy different
orders of magnitude (i.e. other signals invade the space of a signal).
BibRef
Kovalev, V.A.[Vassili A.],
Petrou, M.[Maria],
An energy minimisation approach to the registration, matching and
recognition of images,
CAIP97(613-620).
Springer DOI
9709
BibRef
Sejdic, E.,
Jiang, J.,
Selective Regional Correlation for Pattern Recognition,
SMC-A(37), No. 1, January 2007, pp. 82-93.
IEEE DOI
0701
BibRef
Crosby, F.[Frank],
Adaptive Correlation Analysis With Non-Overlapping Imagery Indication,
PhEngRS(73), No. 9, September 2007, pp. 1041-1048.
WWW Link.
0709
A method is presented to autonomously register small overlap imagery
with the added benefit that the method provides an indication of when
the images have no common area.
BibRef
Vijaya Kumar, B.V.K.,
Mahalanobis, A.[Abhijit],
Juday, R.D.[Richard D.],
Correlation Pattern Recognition,
Cambridge University Press2005.
ISBN-13: 9780521571036.
DOI Link Contente: Introduction; Mathematical background;
Linear systems and filtering theory; Detection and estimation;
Correlation filter basics; Advanced correlation filters;
Optical considerations; Limited-modulation filters;
Correlation pattern recognition applications;
BibRef
0500
Jeong, K.H.[Kyu-Hwa],
Liu, W.F.[Wei-Feng],
Han, S.J.[Seung-Ju],
Hasanbelliu, E.[Erion],
Principe, J.C.[Jose C.],
The correntropy MACE filter,
PR(42), No. 5, May 2009, pp. 871-885.
Elsevier DOI
0902
Minimum average correlation energy (MACE) filter; Correntropy;
Reproducing kernel Hilbert space (RKHS); Fast Gauss transform (FGT);
Synthetic aperture radar (SAR); Face image recognition
BibRef
Rodriguez, A.,
Boddeti, V.N.,
Vijaya Kumar, B.V.K.,
Mahalanobis, A.[Abhijit],
Maximum Margin Correlation Filter:
A New Approach for Localization and Classification,
IP(22), No. 2, February 2013, pp. 631-643.
IEEE DOI
1302
BibRef
Fernandez, J.A.,
Boddeti, V.N.[Vishnu Naresh],
Rodriguez, A.,
Vijaya Kumar, B.V.K.,
Zero-Aliasing Correlation Filters for Object Recognition,
PAMI(37), No. 8, August 2015, pp. 1702-1715.
IEEE DOI
1507
Correlation
BibRef
Boddeti, V.N.[Vishnu Naresh],
Kanade, T.[Takeo],
Vijaya Kumar, B.V.K.,
Correlation Filters for Object Alignment,
CVPR13(2291-2298)
IEEE DOI
1309
Car Alignment; Correlation Filters; Object Alignment; Shape Models
3D from 2D images.
BibRef
Ikeda, M.[Mitsuji],
Yoshida, S.[Syoji],
Nakashima, K.[Keisuke],
Katsura, K.[Koyo],
Shibukawa, S.[Shigeru],
Yoda, H.[Haruo],
Hotta, T.[Takashi],
Statistic calculating method using a template and corresponding
sub-image to determine similarity based on sum of squares thresholding,
US_Patent7,082,224, Jul 25, 2006
WWW Link.
BibRef
0607
Ramos-Michel, E.M.[Erika M.],
Kober, V.[Vitaly],
Design of correlation filters for recognition of linearly distorted
objects in linearly degraded scenes,
JOSA-A(24), No. 11, November 2007, pp. 3403-3417.
WWW Link.
0801
BibRef
Arya, K.V.,
Gupta, P.,
Kalra, P.K.,
Mitra, P.,
Image registration using robust M-estimators,
PRL(28), No. 15, 1 November 2007, pp. 1957-1968.
Elsevier DOI
0711
Robust statistics; M-estimator; Huber statistics; Tukey statistics;
Normalized cross-correlation; Influence function
BibRef
Ren, J.C.[Jin-Chang],
Vlachos, T.[Theodore],
Zhang, Y.[Yi],
Zheng, J.B.[Jiang-Bin],
Jiang, J.M.[Jian-Min],
Gradient-based subspace phase correlation for fast and effective
image alignment,
JVCIR(25), No. 7, 2014, pp. 1558-1565.
Elsevier DOI
1410
Image registration
BibRef
Ren, J.C.[Jin-Chang],
Vlachos, T.[Theodore],
Jiang, J.M.[Jian-Min],
Subspace Extension to Phase Correlation Approach for Fast Image
Registration,
ICIP07(I: 481-484).
IEEE DOI
0709
BibRef
Sutton, M.A.[Michael A.],
Orteu, J.J.[Jean-José],
Schreier, H.[Hubert],
Image Correlation for Shape, Motion and Deformation Measurements
Basic Concepts,Theory and Applications,
Springer2009.
ISBN: 978-0-387-78746-6
WWW Link.
Survey, Correlation.
0905
Buy this book: Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts,Theory and Applications
Qiao, Y.,
Wang, W.,
Minematsu, N.,
Liu, J.,
Takeda, M.,
Tang, X.,
A Theory of Phase Singularities for Image Representation and its
Applications to Object Tracking and Image Matching,
IP(18), No. 10, October 2009, pp. 2153-2166.
IEEE DOI
0909
BibRef
Bergholm, F.[Fredrik],
Adler, J.[Jeremy],
Parmryd, I.[Ingela],
Analysis of Bias in the Apparent Correlation Coefficient Between Image
Pairs Corrupted by Severe Noise,
JMIV(37), No. 3, July 2010, pp. xx-yy.
Springer DOI
1007
For comparing ROI in pairs.
fluorescence microscopy tradeoff between noise and frame rate.
See also Proof and Measurement of Association Between Two Things, The.
BibRef
Schweitzer, H.[Haim],
Deng, R.[Rui],
Anderson, R.F.[Robert Finis],
A Dual-Bound Algorithm for Very Fast and Exact Template Matching,
PAMI(33), No. 3, March 2011, pp. 459-470.
IEEE DOI
1102
BibRef
Earlier: A1, A3, A2:
A near optimal acceptance-rejection algorithm for exact
cross-correlation search,
ICCV09(1089-1094).
IEEE DOI
0909
User bounds to find k best matches.
BibRef
Chen, P.W.[Peng-Wen],
A Novel Kernel Correlation Model with the Correspondence Estimation,
JMIV(39), No. 2, February 2011, pp. 100-120.
WWW Link.
1103
BibRef
Shin, D.J.[Dong-Joe],
Muller, J.P.[Jan-Peter],
Progressively weighted affine adaptive correlation matching for
quasi-dense 3D reconstruction,
PR(45), No. 10, October 2012, pp. 3795-3809.
Elsevier DOI
1206
Adaptive least squares correlation; Relaxation labelling; Scale
invariant feature matching; Affine invariant matching; Dense stereo
reconstruction
BibRef
Duan, L.[Lian],
Street, W.N.[W. Nick],
Liu, Y.C.[Yan-Chi],
Speeding up correlation search for binary data,
PRL(34), No. 13, 2013, pp. 1499-1507.
Elsevier DOI
1308
Correlation search
BibRef
Bouchot, J.L.,
Morain-Nicolier, F.,
Scaled-Distance-Transforms and Monotonicity of Autocorrelations,
SPLetters(21), No. 10, October 2014, pp. 1235-1239.
IEEE DOI
1407
Correlation
BibRef
Weng, Z.Y.[Zhi-Yuan],
Djuric, P.M.,
Efficient Estimation of Linear Parameters from Correlated Node
Measurements over Networks,
SPLetters(21), No. 11, November 2014, pp. 1408-1412.
IEEE DOI
1408
correlation methods
BibRef
Shen, F.,
Xu, G.,
Li, Q.,
Non-Coherent Unambiguous Tracking Method for Cosine-BOC Signals Based
on an S-Curve Shaping Technique,
SPLetters(22), No. 6, June 2015, pp. 752-756.
IEEE DOI
1411
Correlation
BibRef
Tong, X.H.[Xiao-Hua],
Ye, Z.[Zhen],
Xu, Y.S.[Yu-Sheng],
Liu, S.J.[Shi-Jie],
Li, L.Y.[Ling-Yun],
Xie, H.[Huan],
Li, T.P.[Tian-Peng],
A Novel Subpixel Phase Correlation Method Using Singular Value
Decomposition and Unified Random Sample Consensus,
GeoRS(53), No. 8, August 2015, pp. 4143-4156.
IEEE DOI
1506
correlation methods
BibRef
Alba, A.[Alfonso],
Vigueras-Gomez, J.F.[J. Flavio],
Arce-Santana, E.R.[Edgar R.],
Aguilar-Ponce, R.M.[Ruth M.],
Phase correlation with sub-pixel accuracy:
A comparative study in 1D and 2D,
CVIU(137), No. 1, 2015, pp. 76-87.
Elsevier DOI
1506
Phase correlation
BibRef
Alba, A.[Alfonso],
Arce-Santana, E.R.[Edgar R.],
Experimental Evaluation of Rigid Registration Using Phase Correlation
Under Illumination Changes,
ISVC15(I: 151-161).
Springer DOI
1601
BibRef
Klausner, N.,
Azimi-Sadjadi, M.R.,
Scharf, L.L.,
Saddlepoint Approximations for Correlation Testing Among Multiple
Gaussian Random Vectors,
SPLetters(23), No. 5, May 2016, pp. 703-707.
IEEE DOI
1604
Coherence
BibRef
Hua, Y.,
Wang, S.,
Liu, S.,
Cai, A.,
Huang, Q.,
Cross-Modal Correlation Learning by Adaptive Hierarchical Semantic
Aggregation,
MultMed(18), No. 6, June 2016, pp. 1201-1216.
IEEE DOI
1605
BibRef
And:
Corrections:
MultMed(18), No. 10, October 2016, pp. 2127-2127.
IEEE DOI
1610
Adaptation models.
Learning (artifical intelligence)
BibRef
Yang, S.[Sai],
Xiao, B.[Bo],
Yan, L.P.[Li-Ping],
Xia, Y.Q.[Yuan-Qing],
Fu, M.Y.[Meng-Yin],
Liu, Y.[Yang],
Robust scene matching method based on sparse representation and
iterative correction,
IVC(60), No. 1, 2017, pp. 115-123.
Elsevier DOI
1704
Scene matching
BibRef
Sahnoune, A.[Ahmed],
Berkani, D.[Daoud],
On the correlation of chaotic signals generated by multimodal skew tent
map,
SIViP(12), No. 7, October 2018, pp. 1273-1278.
WWW Link.
1809
BibRef
Xiao, L.,
Li, H.,
Liu, Y.,
Wang, X.,
Distributed Target Detection Based on the Volume Cross-Correlation
Function,
SPLetters(25), No. 12, December 2018, pp. 1785-1789.
IEEE DOI
1812
correlation methods, Gaussian noise, object detection, white noise,
distributed target detection,
volume cross-correlation (VCC) function
BibRef
Ye, Z.,
Tong, X.,
Zheng, S.,
Guo, C.,
Gao, S.,
Liu, S.,
Xu, X.,
Jin, Y.,
Xie, H.,
Liu, S.,
Chen, P.,
Illumination-Robust Subpixel Fourier-Based Image Correlation Methods
Based on Phase Congruency,
GeoRS(57), No. 4, April 2019, pp. 1995-2008.
IEEE DOI
1904
correlation methods, Fourier analysis, image representation,
phase estimation,
subpixel Fourier-based image correlation
BibRef
Xu, J.H.[Jia-Hong],
Cai, C.[Cheng],
Ning, J.F.[Ji-Feng],
Li, Y.S.[Yun-Song],
Robust correlation filter tracking via context fusion and subspace
constraint,
JVCIR(62), 2019, pp. 182-192.
Elsevier DOI
1908
Object tracking, Correlation filter, Context fusion,
Subspace constraint, Model update
BibRef
Pei, S.,
Chang, K.,
Arbitrary Length Perfect Integer Sequences Using All-Pass Polynomial,
SPLetters(26), No. 8, August 2019, pp. 1112-1116.
IEEE DOI
1908
correlation methods, Gaussian processes, polynomials, sequences,
set theory, perfect sequence,
polynomial
BibRef
Ziou, D.[Djemel],
Rodriguez, D.R.[Dayron Rizo],
Nacereddine, N.[Nafaa],
Tabbone, S.[Salvatore],
A novel correlation filter based on variational calculus,
SP:IC(78), 2019, pp. 77-85.
Elsevier DOI
1909
BibRef
And:
Corrigendum:
SP:IC(78), 2019, pp. 511.
Elsevier DOI
1909
Correlation filter, Variational calculus, Face identification,
Illumination variation, Single training image, Pose classification
BibRef
Alasti, H.,
Efficient Sensing of Correlated Spatiotemporal Signals:
A Stochastic Gradient Approach,
SPLetters(26), No. 12, December 2019, pp. 1728-1732.
IEEE DOI
2001
correlation methods, curve fitting, extrapolation,
gradient methods, sensor fusion, spatiotemporal phenomena,
stochastic gradient
BibRef
Atkinson, D.[Devan],
Becker, T.[Thorsten],
A 117 Line 2D Digital Image Correlation Code Written in MATLAB,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
Code, Correlation.
BibRef
And:
Correction:
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Gao, L.[Lei],
Guan, L.[Ling],
A Complete Discriminative Tensor Representation Learning for
Two-Dimensional Correlation Analysis,
SPLetters(27), 2020, pp. 1894-1898.
IEEE DOI
2011
Correlation, Tensile stress,
Mathematical model, Computational complexity, Optimization,
discriminative tensor representation learning
BibRef
Gao, L.[Lei],
Qi, L.[Lin],
Guan, L.[Ling],
A discriminant kernel entropy-based framework for feature
representation learning,
JVCIR(81), 2021, pp. 103366.
Elsevier DOI
2112
Kernel entropy component analysis, Discriminant analysis,
Feature representation learning, Iris visualization,
Object recognition
BibRef
McDonald, J.[Joseph],
Bernstein, B.[Brett],
Fernandez-Granda, C.[Carlos],
A Sampling Theorem for Deconvolution in Two Dimensions,
SIIMS(13), No. 4, 2020, pp. 1754-1780.
DOI Link
2012
estimating a two-dimensional superposition of point sources or spikes
from samples of their convolution with a Gaussian kernel.
BibRef
Dematteis, N.[Niccolň],
Giordan, D.[Daniele],
Comparison of Digital Image Correlation Methods and the Impact of
Noise in Geoscience Applications,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link
2101
BibRef
Yu, J.[Jing],
Lu, Y.H.[Yu-Hang],
Zhang, W.F.[Wei-Feng],
Qin, Z.C.[Zeng-Chang],
Liu, Y.B.[Yan-Bing],
Hu, Y.[Yue],
Learning cross-modal correlations by exploring inter-word semantics
and stacked co-attention,
PRL(130), 2020, pp. 189-198.
Elsevier DOI
2002
Cross-modal correlation, Inter-word semantics,
Fine-grained correlation, Stacked co-attention, Cross-modal retrieval
BibRef
Lai, H.,
Xu, W.,
Robust Kernel Correlation Based Bi-Channel Signal Detection With
Correlated Non-Gaussian Noise,
SPLetters(28), 2021, pp. 165-169.
IEEE DOI
2102
Kernel, Correlation, Detectors, Probability,
Signal processing algorithms, Signal detection,
Gaussian mixture (GM) distribution
BibRef
Zhang, S.[Silu],
Dang, X.[Xin],
Nguyen, D.[Dao],
Wilkins, D.[Dawn],
Chen, Y.X.[Yi-Xin],
Estimating Feature-Label Dependence Using Gini Distance Statistics,
PAMI(43), No. 6, June 2021, pp. 1947-1963.
IEEE DOI
2106
Correlation, Feature extraction, Random variables, Kernel,
Convergence, Redundancy, Mutual information, Energy distance,
supervised learning
BibRef
Li, Y.Z.[Yuan-Zhe],
Hu, W.D.[Wei-Dong],
Fan, H.Q.[Hong-Qi],
Du, X.Y.[Xiao-Yong],
Phase-Coded Sequence Design for Local Shaping of Complete
Second-Order Correlation,
SPLetters(31), 2024, pp. 571-575.
IEEE DOI
2402
Correlation, Eigenvalues and eigenfunctions,
Signal processing algorithms, Minimization, Radar applications,
second-order correlation
BibRef
Lee, S.W.[Seong-Won],
Seong, H.[Hongje],
Lee, S.[Suhyeon],
Kim, E.T.[Eun-Tai],
Correlation Verification for Image Retrieval and Its Memory Footprint
Optimization,
PAMI(47), No. 3, March 2025, pp. 1514-1529.
IEEE DOI
2502
Feature extraction, Correlation, Image retrieval, Databases,
Training, Memory management, Convolutional neural networks,
feature sparsification
BibRef
Hoshen, Y.,
Wolf, L.B.[Lior B.],
Unsupervised Correlation Analysis,
CVPR18(3319-3328)
IEEE DOI
1812
Correlation, Task analysis, Kernel, Training,
Facebook
BibRef
Millikan, B.,
Foroosh, H.,
Sun, Q.,
Deep Convolutional Neural Networks with Integrated Quadratic
Correlation Filters for Automatic Target Recognition,
PBVS18(1303-13037)
IEEE DOI
1812
Target recognition, Correlation, Training, Object detection,
Standards, Convolutional neural networks
BibRef
Subramaniam, A.,
Balasubramanian, P.,
Mittal, A.,
NCC-Net: Normalized Cross Correlation Based Deep Matcher with
Robustness to Illumination Variations,
WACV18(1944-1953)
IEEE DOI
1806
convolution, entropy, face recognition,
feature extraction, image classification, image matching,
Task analysis
BibRef
Zhang, S.Z.[Shi-Zhi],
Wakahara, T.,
Yamashita, Y.,
Image matching using GPT correlation associated with simplified HOG
patterns,
IPTA17(1-6)
IEEE DOI
1804
BibRef
Earlier:
Theoretical criterion for image matching using GPT correlation,
ICPR16(555-560)
IEEE DOI
1705
affine transforms, 2D projection transformation,
GAT/GPT matchings, GAT/GPT-superimposed image.
Approximation algorithms, Correlation, Databases,
Feature extraction, Image matching, Kernel, Mathematical model
BibRef
Chen, W.J.,
Two dimensional translation detection by comprehensively calculating
three cross-correlations,
IPTA16(1-6)
IEEE DOI
1703
image processing
BibRef
Lapin, I.,
Farka, P.,
Ambiguity function of two-dimensional orthogonal complete
complementary codes,
WSSIP16(1-4)
IEEE DOI
1608
Doppler shift
BibRef
Dávideková, M.,
Farka, P.,
Greguml, M.,
Analysis of the correlation properties of QOCCC,
WSSIP16(1-4)
IEEE DOI
1608
QOCCC: Quasi orthogonal complete complementary codes.
correlation methods
BibRef
Reichenbach, M.,
Kasparek, M.,
Alawieh, M.,
Häublein, K.,
Fey, D.,
Real-time correlation for locating systems utilizing heterogeneous
computing architectures,
DASIP15(1-8)
IEEE DOI
1605
graphics processing units
BibRef
Bouzidi, F.,
Charfi, E.,
Ghozzi, F.,
Fakhfakh, A.,
Implementation of optical correlator for face recognition
applications,
ICCVIA15(1-5)
IEEE DOI
1603
Fraunhofer diffraction
BibRef
Mester, R.[Rudolf],
Conrad, C.[Christian],
When Patches Match:
A Statistical View on Matching under Illumination Variation,
ICPR14(4364-4369)
IEEE DOI
1412
Correlation
BibRef
Palubinskas, G.[Gintautas],
Mystery behind similarity measures mse and SSIM,
ICIP14(575-579)
IEEE DOI
1502
Correlation coefficient
BibRef
Kim, H.W.J.[Hyun-Woo J.],
Smith, B.M.[Brandon M.],
Adluru, N.[Nagesh],
Dyer, C.R.[Charles R.],
Johnson, S.C.[Sterling C.],
Singh, V.[Vikas],
Abundant Inverse Regression Using Sufficient Reduction and Its
Applications,
ECCV16(III: 570-584).
Springer DOI
1611
BibRef
Robles-Kelly, A.[Antonio],
Max-Correlation Embedding Computation,
SSSPR14(113-122).
Springer DOI
1408
BibRef
Schubert, F.[Falk],
Mikolajczyk, K.[Krystian],
Benchmarking GPU-Based Phase Correlation for Homography-Based
Registration of Aerial Imagery,
CAIP13(II:83-90).
Springer DOI
1311
BibRef
Fernandez, J.A.[Joseph A.],
Vijaya Kumar, B.V.K.,
Multidimensional overlap-add and overlap-save for correlation and
convolution,
ICIP13(509-513)
IEEE DOI
1402
Algorithm design and analysis
BibRef
Ma, D.[Ding],
Zhai, X.H.[Xiao-Hua],
Peng, Y.X.[Yu-Xin],
Cross-media retrieval by cluster-based correlation analysis,
ICIP13(3986-3990)
IEEE DOI
1402
cluster analysis;correlation analysis;cross-media retrieval;multimedia
BibRef
dos Santos, J.A.,
Penatti, O.A.B.,
da Silva Torres, R.[Ricardo],
Gosselin, P.H.,
Philipp-Foliguet, S.,
Falcao, A.X.,
Improving texture description in remote sensing image multi-scale
classification tasks by using visual words,
ICPR12(3090-3093).
WWW Link.
1302
BibRef
dos Santos, J.A.,
Faria, F.A.,
da Silva Torres, R.[Ricardo],
Rocha, A.,
Gosselin, P.H.,
Philipp-Foliguet, S.,
Falcao, A.X.,
Descriptor correlation analysis for remote sensing image multi-scale
classification,
ICPR12(3078-3081).
WWW Link.
1302
BibRef
Cavy, B.[Benjamin],
Svalbe, I.[Imants],
Construction of Perfect Auto-correlation Arrays and Zero
Cross-correlation Arrays from Discrete Projections,
IWCIA15(232-243).
Springer DOI
1601
BibRef
Svalbe, I.,
Near Perfect Correlation Functions Based on Zero-Sum Projections,
DICTA11(627-632).
IEEE DOI
1205
BibRef
Marburg, A.,
Hayes, M.P.,
Bainbridge-Smith, A.,
Pose Priors for Aerial Image Registration,
DICTA13(1-8)
IEEE DOI
1402
cameras
BibRef
Stowers, J.,
Hayes, M.P.,
Bainbridge-Smith, A.,
Phase correlation using shear average for image registration,
IVCNZ10(1-6).
IEEE DOI
1203
BibRef
Wong, D.R.,
Hayes, M.P.,
Bainbridge-Smith, A.,
IMU-aided SURF feature matching for relative pose estimation,
IVCNZ10(1-6).
IEEE DOI
1203
BibRef
Yang, Z.W.[Zheng-Wei],
Shen, G.R.[Guang-Rong],
Wang, W.[Wei],
Qian, Z.H.[Zhen-Hua],
Ke, Y.[Ying],
Spatial-spectral cross correlation for reliable multispectral image
registration,
AIPR09(1-8).
IEEE DOI
0910
BibRef
Schairer, T.[Timo],
Herholz, S.[Sebastian],
Huhle, B.[Benjamin],
Straser, W.[Wolgang],
SIFT vs. SOFT: A comparison of feature and correlation based rotation
estimation for panoramic images,
3DTV10(1-4).
IEEE DOI
1006
BibRef
Huhle, B.,
Schairer, T.,
Strasser, W.,
Normalized Cross-Correlation using SOFT,
LNLA09(82-86).
IEEE DOI
0908
See also 6DoF Registration of 2D Laser Scans.
BibRef
Wang, Y.Z.[Yang-Zhi],
Xu, C.Q.[Cheng-Qian],
Li, X.[Xin],
Discussion on the Construction of Optimal ZCZ Sequence Set,
CISP09(1-4).
IEEE DOI
0910
zero correlation zone
BibRef
Wang, W.J.[Wen-Jie],
Zhao, Z.M.[Zhong-Ming],
Zhu, H.Q.[Hai-Qing],
Hyperspectral Image Compression Method Based on Spectral Statistical
Correlation,
CISP09(1-5).
IEEE DOI
0910
BibRef
Wang, Y.[Yong],
Zhu, M.[Ming],
Input Plane Preprocessing of Joint Transform Correlator Based on Swarm
Intelligence,
CISP09(1-6).
IEEE DOI
0910
BibRef
Wang, B.[Bin],
Xu, X.X.[Xiao-Xuan],
Zheng, Y.F.[Yi-Fan],
Zhang, Y.J.[Yu-Jia],
Hu, C.X.[Cheng-Xue],
Zhang, C.Z.[Cun-Zhou],
The Comparison Between Spectral Similarity Mapping and Correlation
Algorithm in Spectral Imaging Application,
CISP09(1-4).
IEEE DOI
0910
BibRef
Bolme, D.S.[David S.],
Draper, B.A.[Bruce A.],
Beveridge, J.R.[J. Ross],
Average of Synthetic Exact Filters,
CVPR09(2105-2112).
IEEE DOI
0906
A class of correlation filters.
BibRef
Vigneron, V.,
Correlation, Independance and Inverse Modeling,
ICISP08(570-579).
Springer DOI
0807
BibRef
Feng, W.[Wei],
Hu, B.[Bo],
Yang, C.[Cheng],
A quaternion phase-only correlation algorithm for color images,
ICIP08(461-464).
IEEE DOI
0810
BibRef
Kowalczyk, M.,
Koza, P.,
Kupidura, P.,
Marciniak, J.,
Application of Mathematical Morphology Operations for Simplification
and Improvement of Correlation of Images in Close-Range Photogrammetry,
ISPRS08(B5: 153 ff).
PDF File.
0807
BibRef
Engin, Z.[Zeynep],
Lim, M.[Melvin],
Bharath, A.A.[Anil Anthony],
Gradient Field Correlation for Keypoint Correspondence,
ICIP07(II: 481-484).
IEEE DOI
0709
BibRef
Wessel, B.,
Huber, M.,
Roth, A.,
Registration of Near Real-Time SAR Images by Image-to-Image Matching,
PIA07(179).
PDF File.
0711
BibRef
Guo, G.D.[Guo-Dong],
Dyer, C.R.[Charles R.],
Patch-based Image Correlation with Rapid Filtering,
BP07(1-6).
IEEE DOI
0706
BibRef
Joshi, A.[Ashutosh],
Nagy, G.[George],
Lopresti, D.P.[Daniel P.],
Seth, S.C.[Sharad C.],
A Maximum-Likelihood Approach to Symbolic Indirect Correlation,
ICPR06(III: 99-103).
IEEE DOI
0609
BibRef
Patricio, M.P.,
Cabestaing, F.,
Colot, O.,
Bonnet, P.,
A similarity-based adaptive neighborhood method for correlation-based
stereo matching,
ICIP04(II: 1341-1344).
IEEE DOI
0505
BibRef
Sorgi, L.[Lorenzo],
Daniilidis, K.[Kostas],
Normalized Cross-Correlation for Spherical Images,
ECCV04(Vol II: 542-553).
Springer DOI
0405
Correlation with omni-directional images.
BibRef
Singh, M.[Maneesh],
Arora, H.[Himanshu],
Ahuja, N.[Narendra],
Robust Registration and Tracking Using Kernel Density Correlation,
VideoRegister04(174).
IEEE DOI
0502
BibRef
Personnaz, M.[Matthieu],
Sturm, P.F.[Peter F.],
Specifications of the software videomatch 1.1,
INRIART-0260, Mars 2002.
HTML Version.
0306
BibRef
Personnaz, M.[Matthieu],
Sturm, P.F.[Peter F.],
Devernay, F.[Frédéric],
Design of a Library for Dense Matching,
INRIART-0278, Avril 2003.
HTML Version.
0306
BibRef
Fitch, A.J.,
Kadyrov, A.,
Christmas, W.J.,
Kittler, J.V.,
Orientation Correlation,
BMVC02(Matching/Recognition).
0208
BibRef
Clerc, M.,
Wavelet-Based Correlation for Stereopsis,
ECCV02(II: 495 ff.).
Springer DOI
0205
BibRef
Gimel'farb, G.L.[Georgy L.],
Zhong, J.[Jian],
Matching Multiple Views by the Least Square Correlation,
WTRCV01(105).
0103
BibRef
Pitter, M.,
See, C.,
Somekh, M.,
Fast Subpixel Digital Image Correlation Using Artificial Neural
Networks,
ICIP01(II: 901-904).
IEEE DOI
0108
BibRef
Bogush, R.,
Maltsev, S.,
Ablameyko, S.V.,
Uchida, S.,
Kamata, S.,
An efficient correlation computation method for binary images based on
matrix factorisation,
ICDAR01(312-316).
IEEE DOI
0109
BibRef
Werth, P.[Peter],
Scherer, S.[Stefan],
A Novel Bidirectional Framework for Control and Refinement of Area
Based Correlation Techniques,
ICPR00(Vol III: 730-733).
IEEE DOI
IEEE DOI
0009
BibRef
MacLean, J.,
Tsotsos, J.,
Fast Pattern Recognition Using Gradient-descent Search in an Image
Pyramid,
ICPR00(Vol II: 873-877).
IEEE DOI
0009
For using correlation.
BibRef
Pedersini, F.,
Sarti, A.,
Tubaro, S.,
Multi-resolution Area Matching,
ICIP00(Vol I: 553-556).
IEEE DOI
0008
BibRef
Hansen, B.B.[Bruce B.],
Morse, B.S.[Bryan S.],
Multiscale Image Registration Using Scale Trace Correlation,
CVPR99(II: 202-208).
IEEE DOI
BibRef
9900
Scherer, S.[Stefan],
Werth, P.[Peter],
Pinz, A.[Axel],
The Discriminatory Power of Ordinal Measures:
Towards a New Coefficient,
CVPR99(I: 76-81).
IEEE DOI Analysis of:
See also Ordinal Measures for Image Correspondence. shows it has problems, so introduce a new normalized version.
BibRef
9900
Werth, P.[Peter],
Scherer, S.[Stefan],
Pinz, A.[Axel],
Subpixel Stereo Matching by Robust Estimation of Local Distortion Using
Gabor Filters,
CAIP99(641-648).
Springer DOI
9909
BibRef
Sezgin, M.,
Tacaltin, R.,
A Novel Multilevel Thresholding Method Based on Finding the
Consistent Peak of Correlation Function,
MVA98(xx-yy).
BibRef
9800
Scherer, S.[Stefan],
Andexer, W.[Wilfried],
Pinz, A.[Axel],
Robust Adaptive Window Matching by Homogeneity Constraint
and Integration of Descriptions,
ICPR98(Vol I: 777-779).
IEEE DOI
9808
BibRef
Crouzil, A.,
Castan, S.,
Massip-Pailhes, L.,
A New Correlation Criterion Based on Gradient Fields Similarity,
ICPR96(I: 632-636).
IEEE DOI
9608
(Universite P. Sabatier, F)
BibRef
Fisher, R.B., and
Oliver, P.,
Multi-Variate Cross-Correlation and Image Matching,
BMVC95(623-632).
PDF File.
BibRef
9500
And:
DAI-No. 756, 1995.
BibRef
Edinburgh
BibRef
Shapiro, V.[Vladimir],
Cross-correlation with reconstruction: A new approach to pattern
matching,
CAIP93(548-555).
Springer DOI
9309
BibRef
Förstner, W.,
Quality Assessment of Object Location and Point Transfer
Using Digital Image Correlation Techniques,
ISPRS84(xx)
HTML Version.
BibRef
8400
Förstner, W.,
A Feature Based Correspondence Algorithm for Image Matching,
ISPRS86(III: 150-166).
PDF File.
BibRef
8600
Förstner, W.,
Digital Image Matching Techniques for Standard
Photogrammetric Applications,
Proc.
ACSM-ASP(xx-yy). Convention, Washington, DC, March 1986.
BibRef
8603
Förstner, W.,
On the Geometric Precision of Digital Correlation,
ISPRS82(Commission III, XXV, 176-189).
PDF File.
BibRef
8200
Horswill, I.D.,
Proximity Detection Using a Filter Tuned in Three-Space,
DARPA92(973-978). Image level matching.
BibRef
9200
Coombs, D.[David],
Horswill, I.D.[Ian D.], and
vonKaenel, P.[Peter],
Disparity Filtering: Proximity Detection and Segmentation,
SPIE(1825), Intelligent Robots and Computer Vision XI: Algorithms,
Techniques, and Active Vision, Boston, November 1992.
BibRef
9211
Audette, M.,
Cohen, P.,
Weng, J.,
Shading-Based Two-View Matching,
IJCAI91(1286-1291).
BibRef
9100
McCann, D.R.,
Barr, M.,
Matching SAR Imagery with Terrain Feature Models,
ICPR86(1232-1235).
BibRef
8600
Overman, K.C.,
Ghazizadeh, F.,
Mix, D.F.,
Scene Matching by Defocused Images,
ICPR84(960-962).
BibRef
8400
Glazer, F.[Frank], (DEC),
Reynolds, G.[George], and
Anandan, P.,
Scene Matching by Hierarchical Correlation,
CVPR83(432-441).
BibRef
8300
And:
DARPA83(233-242).
(UMass) Matching at different levels of the pyramid - use the lower
level match to guide the higher level matches plus/minus 1 is the
limit for the lower levels.
BibRef
Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Canonical Correlation Analysis .