12.1.3.2 Image Registration -- The Match Technique, Match Measures, Cost Function

Chapter Contents (Back)
More the matching technique than a registration system. Image Registration. Image Matching. Similarity Measures. Match Measure.
See also Image Registration, Point Featres, Key Points, Local Feature.
See also Just Noticiable Difference, JND.
See also Basic Comparison of Relational Network Descriptions.
See also Similarity Measure, Distance Transforms and Functions for Objects and Shapes.
See also Distance Transforms, Distance Functions, Distance Measures.

Venot, A., Lebruchec, J.F., and Roucayrol, J.C.,
A New Class of Similarity Measures for Robust Image Registration,
CVGIP(28), No. 2, November 1984, pp. 176-184.
Elsevier DOI (UER Paris), An alternative to correlation matching: count the number of sign changes in the difference between the two images. This should assume that the intensity differences between the two views are small. This is probably true with current acquisition methods. BibRef 8411

Henshaw, P.D.[Philip D.],
Image comparison system,
US_Patent4,513,441, 04/23/1985.
HTML Version. BibRef 8504

Goshtasby, A.A.[Ardeshir A.],
Piecewise Cubic Mapping Functions for Image Registration,
PR(20), No. 5, 1987, pp. 525-533.
Elsevier DOI Register triangulated images. Extend mapping functions.
See also 2-D and 3-D Image Registration: For Medical, Remote Sensing, and Industrial Applications. BibRef 8700

Goshtasby, A.A.[Ardeshir A.],
Piecewise Linear Mapping Functions for Image Registration,
PR(19), No. 6, 1986, pp. 459-466.
Elsevier DOI Register triangulated images.
See also Correction of Image Deformation from Lens Distortion Using Bezier Patches. BibRef 8600

Maître, H.[Henri], Wu, Y.F.[Yi-Feng],
Improving Dynamic Programming to Solve Image Registration,
PR(20), No. 4, 1987, pp. 443-462.
Elsevier DOI BibRef 8700
And:
Elastic Matching Versus Rigid Matching by Use of Dynamic Programming,
ICPR88(I: 79-81).
IEEE DOI BibRef

Zikan, K., Silberberg, T.M.,
The Frobenius Metric in Image Registration,
CVIP92(385-420). BibRef 9200

Paumard, J.,
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PRL(18), No. 10, October 1997, pp. 1057-1063. 9802
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Schuette, W.[Wade],
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Martens, J.B., Meesters, L.,
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Martinez-Baena, J., Toet, A., Fdez-Vidal, X.R., Garrido, A., Rodriguez-Sanchez, R.,
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García, J.A., Rodriguez-Sánchez, R.[Rosa], Fdez-Valdivia, J., Martinez-Baena, J.,
Comparative visibility analysis of advertisement images,
SP:IC(26), No. 10, November 2011, pp. 589-611.
Elsevier DOI 1111
Information visibility; Advertisement images; Rate-attention; Clustering BibRef

Fdez-Vidal, X.R., Garcia, J.A., Fdez-Valdivia, J.,
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PRL(19), No. 1, January 1998, pp. 77-88. 9807
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Martinez-Baena, J., Fdez-Valdivia, J., Garcia, J.A., Fdez-Vidal, X.R.,
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Fdez-Vidal, X.R.[Xose R.], Rodriguez-Sánchez, R., Martinez-Baena, J., Chamorro, J.,
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IEEE DOI 0009
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Shao, J.,
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IVC(17), No. 14, 17 November 1999, pp. 1021-1030.
Elsevier DOI 9911
every point is in multiple images. Epipolar curve constraints. BibRef

Fredriksson, K.[Kimmo], Ukkonen, E.[Esko],
Combinatorial methods for approximate image matching under translations and rotations,
PRL(20), No. 11-13, November 1999, pp. 1249-1258. 0001
BibRef

Mustaffar, M., Mitchell, H.L.,
Improving area-based matching by using surface gradients in the pixel co-ordinate transformation,
PandRS(56), No. 1, June 2001, pp. 42-52.
HTML Version. 0108
BibRef

Mei, X.L.[Xue-Liang], Gong, P.[Peng], Beging, G.S.[Greg S.],
Image Matching Based on Tracking Matching Paths in the Similarity Space,
PhEngRS(67), No. 4, April 2001, pp. 453-461.
WWW Link. Surface continuity and ordering constraints by tracking connected local peak points in the space of matching similarity. 0105
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McGarry, E.J.[E. John],
Pattern similarity metric for image search, registration, and comparison,
US_Patent6,154,567, Nov 28, 2000
WWW Link. BibRef 0011

Pettersson, M.[Magnus], Rosenqvist, A.[Anders], Heyden, A.[Anders], Almers, M.[Martin],
Feature-free registration of dissimilar images using a robust similarity metric,
US_Patent6,268,611, Jul 31, 2001
WWW Link. BibRef 0107

Wang, J.H.[Jung-Hua], Huang, H.[Hao], Chen, J.L.[Jin-Liang],
PCT: A technique to probe cluster terrain,
PRL(23), No. 10, August 2002, pp. 1153-1168.
Elsevier DOI 0205
Region growing based dense matching. Modified SSD. BibRef

Stephens, P.J., Jones, A.S.,
A Computationally Efficient Discrete Backus-Gilbert Footprint-Matching Algorithm,
GeoRS(40), No. 8, August 2002, pp. 1865-1878.
IEEE Top Reference. 0210
To register datasets (not just images). BibRef

Stephens, P.J., Jones, A.S.,
Bounds on the Variance in the Pattern Matching Criteria,
GeoRS(44), No. 9, September 2006, pp. 2514-2522.
IEEE DOI 0609
BibRef

Wu, Y.T.[Yu-Te], Chen, L.F.[Li-Fen], Lee, P.L.[Po-Lei], Yeh, T.C.[Tzu-Chen], Hsieh, J.C.[Jen-Chuen],
Discrete signal matching using coarse-to-fine wavelet basis functions,
PR(36), No. 1, January 2003, pp. 171-192.
Elsevier DOI 0210
BibRef

Zhu, Y.M.[Yang-Ming], Cochoff, S.M.,
Likelihood maximization approach to image registration,
IP(11), No. 12, December 2002, pp. 1417-1426.
IEEE DOI 0301
BibRef

Hasler, D.[David], Sbaiz, L.[Luciano], Susstrunk, S.[Sabine], Vetterli, M.[Martin],
Outlier modeling in image matching,
PAMI(25), No. 3, March 2003, pp. 301-315.
IEEE DOI 0301
Match compares pixel difference. Outlier is usually caused by occlusions. BibRef

Firmenichy, D., Brown, M., Susstrunk, S.,
Multispectral interest points for RGB-NIR image registration,
ICIP11(181-184).
IEEE DOI 1201
BibRef

Holmes, A.S., Rose, C.J., Taylor, C.J.,
Transforming Pixel Signatures into an Improved Metric Space,
IVC(20), No. 9-10, August 2002, pp. 701-707.
Elsevier DOI 0208
BibRef
Earlier: A1, A3 only: BMVC00(xx-yy).
PDF File. 0009
Local structure in X-ray. Best Partial Match. BibRef

Holmes, A.S., Rose, C.J., Taylor, C.J.,
Measuring similarity between pixel signatures,
IVC(20), No. 5-6, 15 April 2002, pp. 331-340.
Elsevier DOI 0204
BMVC issue BibRef
And: Also: IVC(20), No. 4, April 2002, pp. 239-248.
Elsevier DOI 0203
BibRef
Earlier: A1, A3 only:
Developing a Measure of Similarity between Pixel Signatures,
BMVC99(Low and High-Level Feature Detection).
PDF File. Specific structures in medical images. BibRef

Wang, J.[Jia],
System and method for determining a level of similarity among more than one image and a segmented data structure for enabling such determination,
US_Patent6,373,979, Apr 16, 2002
WWW Link. BibRef 0204

van der Weken, D.[Dietrich], Nachtegael, M.[Mike], Kerre, E.E.[Etienne E.],
Using similarity measures and homogeneity for the comparison of images,
IVC(22), No. 9, 20 August 2004, pp. 695-702.
Elsevier DOI 0407

See also Combining neighbourhood-based and histogram similarity measures for the design of image quality measures. BibRef

Zhao, C.J.[Chun-Jiang], Shi, W.K.[Wen-Kang], Deng, Y.[Yong],
A new Hausdorff distance for image matching,
PRL(26), No. 5, April 2005, pp. 581-586.
Elsevier DOI 0501
BibRef

Learned-Miller, E.G.[Erik G.],
Data Driven Image Models through Continuous Joint Alignment,
PAMI(28), No. 2, February 2006, pp. 236-250.
IEEE DOI 0601
Transform images in a set to remove differences. For alignment, artifact removal, bias removal. BibRef

Huang, G.B.[Gary B.], Jain, V.[Vidit], Learned-Miller, E.G.[Erik G.],
Unsupervised Joint Alignment of Complex Images,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Mears, B.[Benjamin], Sevilla-Lara, L.[Laura], Learned-Miller, E.G.[Erik G.],
Distribution Fields with Adaptive Kernels for Large Displacement Image Alignment,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Bouchafa, S.[Samia], Zavidovique, B.[Bertrand],
Efficient cumulative matching for image registration,
IVC(24), No. 1, 1 January 2006, pp. 70-79.
Elsevier DOI 0602
BibRef
Earlier:
Cumulative level-line matching for image registration,
CIAP03(177-182).
IEEE DOI 0310
Level-line registration. BibRef

Almehio, Y.[Yasser], Bouchafa, S.[Samia],
Robust projective transformation estimation using invariant level-line primitives,
Southwest10(57-60).
IEEE DOI 1005
BibRef
And:
Matching Images Using Invariant Level-line Primitives under Projective Transformation,
CRV10(130-135).
IEEE DOI 1005
BibRef

Peng, D.Q.A.[Dai Qi-Ang], Liu, J.[Jian], Tian, J.W.[Jin-Wen], Zheng, S.[Sheng],
Transformation model estimation of image registration via least square support vector machines,
PRL(27), No. 12, September 2006, pp. 1397-1404.
Elsevier DOI 0606
Least squares support vector machine; Geometric distortion BibRef

Osadchy, M.[Margarita], Jacobs, D.W.[David W.], Lindenbaum, M.[Michael],
Surface Dependent Representations for Illumination Insensitive Image Comparison,
PAMI(29), No. 1, January 2007, pp. 98-111.
IEEE DOI 0701
BibRef
Earlier:
On the Equivalence of Common Approaches to Lighting Insensitive Recognition,
ICCV05(II: 1721-1726).
IEEE DOI 0510
BibRef
Earlier: A1, A3, A2:
Whitening for Photometric Comparison of Smooth Surfaces under Varying Illumination,
ECCV04(Vol IV: 217-228).
Springer DOI 0405
Compare correlation and oriented difference of Gaussians. Gaussian model of surfaces. BibRef

Martin, S.[Stefan], Durrani, T.S.[Tariq S.],
A New Divergence Measure for Medical Image Registration,
IP(16), No. 4, April 2007, pp. 957-966.
IEEE DOI 0704
BibRef

Lee, S., Choi, M., Kim, H., Park, F.C.,
Geometric Direct Search Algorithms for Image Registration,
IP(16), No. 9, September 2007, pp. 2215-2224.
IEEE DOI 0709
BibRef

Yang, G.[Gehua], Stewart, C.V.[Charles V.], Sofka, M.[Michal], Tsai, C.L.[Chia-Ling],
Registration of Challenging Image Pairs: Initialization, Estimation, and Decision,
PAMI(29), No. 11, November 2007, pp. 1973-1989.
IEEE DOI 0711
Dataset, Matching.
HTML Version. BibRef
Earlier:
Automatic robust image registration system: Initialization, estimation, and decision,
CVS06(23).
IEEE DOI 0602
BibRef

Sofka, M.[Michal], Yang, G.[Gehua], Stewart, C.V.[Charles V.],
Simultaneous Covariance Driven Correspondence (CDC) and Transformation Estimation in the Expectation Maximization Framework,
CVPR07(1-8).
IEEE DOI 0706
Registration. depends fundamentally on the estimation of uncertainty in point correspondences BibRef

Keeling, S.L.[Stephen L.],
Image Similarity Based on Intensity Scaling,
JMIV(29), No. 1, Septmeber 2007, pp. 21-34.
Springer DOI 0709
For registration with varying contrast. BibRef

Gao, Z.Y.[Zhi-Yong], Gu, B.[Bin], Lin, J.R.[Jia-Rui],
Monomodal image registration using mutual information based methods,
IVC(26), No. 2, 1 February 2008, pp. 164-173.
Elsevier DOI 0711
Image registration; Mutual information; Normalized mutual information; Interpolation artefact BibRef

Wen, G.J., Lv, J., Yu, W.,
A High-Performance Feature-Matching Method for Image Registration by Combining Spatial and Similarity Information,
GeoRS(46), No. 4, April 2008, pp. 1266-1277.
IEEE DOI 0803
BibRef

Kim, D.S.[Dong Sik], Lee, K.Y.[Kir-Yung],
Block-Coordinate Gauss-Newton Optimization and Constrained Monotone Regression for Image Registration in the Presence of Outlier Objects,
IP(17), No. 5, May 2008, pp. 798-810.
IEEE DOI 0804
BibRef
Earlier:
Block-Coordinate Gauss-Newton/regression Method for Image Registration with Efficient Outlier Detection,
ICIP07(I: 517-520).
IEEE DOI 0709
BibRef

Kim, D.S.[Dong Sik], Lee, S.Y.[Su Yeon], Lee, K.Y.[Kir-Yung],
Joint Optimization of Image Registration and Comparametric Exposure Compensation Based on the Lucas-Kanade Algorithm,
ICPR06(III: 905-908).
IEEE DOI 0609

See also Iterative Image Registration Technique with an Application to Stereo Vision, An. BibRef

Feng, Z.R.[Zu-Ren], Lu, N.[Na], Jiang, P.[Ping],
Posterior probability measure for image matching,
PR(41), No. 7, July 2008, pp. 2422-2433.
Elsevier DOI 0804
Similarity measure; Image matching; Visual tracking; Posterior probability BibRef

Lu, N.[Na], Feng, Z.R.[Zu-Ren],
Mathematical model of blob matching and modified Bhattacharyya coefficient,
IVC(26), No. 10, 1 October 2008, pp. 1421-1434.
Elsevier DOI 0804
Blob matching; Bhattacharyya coefficient; Similarity measure; Mathematical model BibRef

Zhilkin, P.[Peter], Alexander, M.E.[Murray E.], Sun, J.K.[Jian-Kang],
Nonlinear registration using variational principle for mutual information,
PR(41), No. 8, August 2008, pp. 2493-2502.
Elsevier DOI 0805
Image registration; Mutual information BibRef

Shih, S.W.[Sheng-Wen], Chuang, Y.T., Yu, T.Y.[Tzu-Yi],
An Efficient and Accurate Method for the Relaxation of Multiview Registration Error,
IP(17), No. 6, June 2008, pp. 968-981.
IEEE DOI 0711
BibRef

Pele, O.[Ofir], Werman, M.[Michael],
Robust Real-Time Pattern Matching Using Bayesian Sequential Hypothesis Testing,
PAMI(30), No. 8, August 2008, pp. 1427-1443.
IEEE DOI 0806
BibRef
And:
A Linear Time Histogram Metric for Improved SIFT Matching,
ECCV08(III: 495-508).
Springer DOI 0810
BibRef
Earlier:
Accelerating Pattern Matching or How Much Can You Slide?,
ACCV07(II: 435-446).
Springer DOI 0711
Use the results from the previous window -- an extension of the usual convolution speedups. Image distance measures invar5iant to occlusions. Based on Hamming distance. BibRef

Huang, C.R.[Chun-Rong], Chen, C.S.[Chu-Song], Chung, P.C.[Pau-Choo],
Contrast context histogram: An efficient discriminating local descriptor for object recognition and image matching,
PR(41), No. 10, October 2008, pp. 3071-3077.
Elsevier DOI 0808
BibRef
Earlier:
Contrast Context Histogram: A Discriminating Local Descriptor for Image Matching,
ICPR06(IV: 53-56).
IEEE DOI 0609
Image matching; Local descriptor; Object recognition BibRef

Kahl, F.[Fredrik], Hartley, R.I.[Richard I.],
Multiple-View Geometry Under the L_inf-Norm,
PAMI(30), No. 9, September 2008, pp. 1603-1617.
IEEE DOI 0808
BibRef
Earlier: A1, Only:
Multiple View Geometry and the L_inf-norm,
ICCV05(II: 1002-1009).
IEEE DOI 0510
Rather than sum of squares or L2 norm. BibRef

Gómez-García, H.F.[Héctor Fernando], Marroquín, J.L.[José L.], van Horebeek, J.[Johan],
Image registration based on kernel-predictability,
CVIU(112), No. 2, November 2008, pp. 160-172.
Elsevier DOI 0811
BibRef
Earlier:
Kernel-Predictability: A New Information Measure and Its Application to Image Registration,
ECCV06(III: 502-513).
Springer DOI 0608
Multimodal image registration; Parametric and nonparametric transformations; Gini entropy; Information measures BibRef

Shah, C.A., Sheng, Y., Smith, L.C.,
Automated Image Registration Based on Pseudoinvariant Metrics of Dynamic Land-Surface Features,
GeoRS(46), No. 11, November 2008, pp. 3908-3916.
IEEE DOI 0812
BibRef

Ros, J.[Julien], Laurent, C.[Christophe], Jolion, J.M.[Jean-Michel],
A Bag of Strings Representation for Image Categorization,
JMIV(35), No. 1, September 2009, pp. xx-yy.
Springer DOI 0907

See also Cascade of Unsupervised and Supervised Neural Networks for Natural Image Classification, A. BibRef

Ros, J.[Julien], Laurent, C.[Christophe],
Description of Local Singularities for Image Registration,
ICPR06(IV: 61-64).
IEEE DOI 0609
BibRef

Bartoli, A.E.[Adrien E.],
On Computing the Prediction Sum of Squares Statistic in Linear Least Squares Problems with Multiple Parameter or Measurement Sets,
IJCV(85), No. 2, November 2009, pp. xx-yy.
Springer DOI 0909
A leave one out method. BibRef

Bartoli, A.E.[Adrien E.],
Generalizing the Prediction Sum of Squares Statistic and Formula, Application to Linear Fractional Image Warp and Surface Fitting,
IJCV(122), No. 1, March 2017, pp. 61-83.
Springer DOI 1702
BibRef

Ferreira Junior, P.E.[Perfilino E.], Torreao, J.R.A.[Jose R.A.], Carvalho, P.C.P.[Paulo C.P.],
A Comparative analysis of Green's functions of 1D matching equations for motion synthesis,
PRL(30), No. 14, 15 October 2009, pp. 1321-1334.
Elsevier DOI 0909
Green's functions; 1D matching equations; Motion synthesis BibRef

Matungka, R.[Rittavee], Zheng, Y.F.[Yuan F.], Ewing, R.L.[Robert L.],
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IP(18), No. 10, October 2009, pp. 2340-2354.
IEEE DOI 0909
BibRef
Earlier: ICIP08(2416-2419).
IEEE DOI 0810
BibRef

Matungka, R.[Rittavee], Zheng, Y.F.[Yuan F.], Ewing, R.L.[Robert L.],
Efficient Invariant Image Registration Utilizing Pre-shifted Logarithmic Spiral,
IJIG(10), No. 3, July 2010, pp. 395-421.
DOI Link 1003
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Qin, B., Gu, Z., Sun, X., Lv, Y.,
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IEEE DOI 0911
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Lee, E.J.[Eun-Jung], Gunzburger, M.[Max],
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JMIV(36), No. 1, January 2010, pp. xx-yy.
Springer DOI 1001
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Chum, O.[Ondrej], Matas, J.G.[Jiri G.],
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IEEE DOI 1001
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And:
Unsupervised discovery of co-occurrence in sparse high dimensional data,
CVPR10(3416-3423).
IEEE DOI 1006
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Chum, O.[Ondrej], Matas, J.G.[Jiri G.],
Fast computation of min-Hash signatures for image collections,
CVPR12(3077-3084).
IEEE DOI 1208
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Museyko, O., Stiglmayr, M., Klamroth, K., Leugering, G.,
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Sun, Z.H.[Zhao-Hui], Hoogs, A.[Anthony],
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IJCV(88), No. 3, July 2010, pp. xx-yy.
Springer DOI 1003
BibRef
Earlier:
Image Comparison by Compound Disjoint Information,
CVPR06(I: 857-862).
IEEE DOI 0606
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Myronenko, A.[Andriy], Song, X.[Xubo],
Intensity-Based Image Registration by Minimizing Residual Complexity,
MedImg(29), No. 11, November 2010, pp. 1882-1891.
IEEE DOI 1011
BibRef
Earlier:
Image registration by minimization of residual complexity,
CVPR09(49-56).
IEEE DOI 0906
BibRef
And:
Image registration by minimization of Mapping Complexity,
MMBIA09(17-24).
IEEE DOI 0906
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Liu, Z., Shi, Z., Xu, W.,
On Optimal Dynamic Sequential Search for Matching in Real-Time Machine Vision,
IP(19), No. 11, November 2010, pp. 3000-3011.
IEEE DOI 1011
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Cleju, I.[Ioan], Saupe, D.[Dietmar],
Evaluation of texture registration by epipolar geometry,
VC(26), No. 11, November 2010, pp. 1407-1420.
WWW Link. 1101
BibRef
Earlier:
Stochastic Optimization of Multiple Texture Registration Using Mutual Information,
DAGM07(517-526).
Springer DOI 0709
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Yang, X.[Xuan], Xue, Z.[Zhong], Liu, X.[Xia], Xiong, D.R.[Da-Rong],
Topology preservation evaluation of compact-support radial basis functions for image registration,
PRL(32), No. 8, 1 June 2011, pp. 1162-1177.
Elsevier DOI 1101
Image registration; Compact-support radial basis function; Topology preservation BibRef

Thiagarajan, J.J.[Jayaraman J.], Ramamurthy, K.N.[Karthikeyan N.], Spanias, A.[Andreas],
Optimality and stability of the K-hyperline clustering algorithm,
PRL(32), No. 9, 1 July 2011, pp. 1299-1304.
Elsevier DOI 1101
K-hyperline clustering; Optimality; Stability; Voronoi; Empirical risk minimization BibRef

Ramamurthy, K.N.[Karthikeyan Natesan], Thiagarajan, J.J.[Jayaraman J.], Spanias, A.[Andreas],
Improved sparse coding using manifold projections,
ICIP11(1237-1240).
IEEE DOI 1201
BibRef
Earlier:
Fast image registration with non-stationary Gauss-Markov random field templates,
ICIP09(185-188).
IEEE DOI 0911
BibRef

Kang, L.W.[Li-Wei], Hsu, C.Y.[Chao-Yung], Chen, H.W.[Hung-Wei], Lu, C.S.[Chun-Shien], Lin, C.Y.[Chih-Yang], Pei, S.C.[Soo-Chang],
Feature-Based Sparse Representation for Image Similarity Assessment,
MultMed(13), No. 5, 2011, pp. 1019-1030.
IEEE DOI 1110
BibRef

Hsu, C.Y., Lu, C.S., Pei, S.C.,
Image Feature Extraction in Encrypted Domain With Privacy-Preserving SIFT,
IP(21), No. 11, November 2012, pp. 4593-4607.
IEEE DOI 1210
BibRef

Moser, B.A.,
A Similarity Measure for Image and Volumetric Data Based on Hermann Weyl's Discrepancy,
PAMI(33), No. 11, November 2011, pp. 2321-2329.
IEEE DOI 1110
Distance measure of mis-alignmnet (images, volumes) BibRef

Luong, H.Q.[Hiêp Quang], Goossens, B.[Bart], Pižurica, A.[Aleksandra], Philips, W.[Wilfried],
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PRL(32), No. 15, 1 November 2011, pp. 2061-2067.
Elsevier DOI 1112
BibRef
Earlier:
Consistent joint photometric and geometric image registration,
ICIP10(1197-1200).
IEEE DOI 1009
Photometric and geometric image registration; Total least square; Orthogonal distance regression BibRef

Luong, H.Q.[Hiêp Quang], Goossens, B.[Bart], Pižurica, A.[Aleksandra], Philips, W.[Wilfried],
Total least square kernel regression,
JVCIR(23), No. 1, January 2012, pp. 94-99.
Elsevier DOI 1112
Kernel regression; Total least square; Super-resolution; Orthogonal distance regression; Image fusion; Gauss-Newton; Non-uniform resampling; Registration error BibRef

Noblet, V.[Vincent], Heinrich, C.[Christian], Heitz, F.[Fabrice], Armspach, J.P.[Jean-Paul],
An efficient incremental strategy for constrained groupwise registration based on symmetric pairwise registration,
PRL(33), No. 3, 1 February 2012, pp. 283-290.
Elsevier DOI 1201
Symmetric pairwise registration; Groupwise registration; Template construction
See also Robust voxel similarity metrics for the registration of dissimilar single and multimodal images. BibRef

Mattern, J., Fennel, K., Dowd, M.,
Introduction and Assessment of Measures for Quantitative Model-Data Comparison Using Satellite Images,
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DOI Link 1203
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Cordero-Grande, L.[Lucilio], Vegas-Sánchez-Ferrero, G.[Gonzalo], Casaseca-de-la-Higuera, P.[Pablo], Alberola-López, C.[Carlos],
A Markov Random Field Approach for Topology-Preserving Registration: Application to Object-Based Tomographic Image Interpolation,
IP(21), No. 4, April 2012, pp. 2047-2061.
IEEE DOI 1204
BibRef
Earlier:
Topology-Preserving Registration: A Solution via Graph Cuts,
IWCIA11(420-431).
Springer DOI 1105
BibRef

Deledalle, C.A.[Charles-Alban], Denis, L.[Loïc], Tupin, F.[Florence],
Iterative Weighted Maximum Likelihood Denoising With Probabilistic Patch-Based Weights,
IP(18), No. 12, December 2009, pp. 2661-2672.
IEEE DOI 0912
BibRef

Deledalle, C.A.[Charles-Alban], Duval, V.[Vincent], Salmon, J.[Joseph],
Non-local Methods with Shape-Adaptive Patches (NLM-SAP),
JMIV(43), No. 2, June 2012, pp. 103-120.
WWW Link. 1204
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Earlier:
Anisotropic Non-Local Means with Spatially Adaptive Patch Shapes,
SSVM11(231-242).
Springer DOI 1201
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Deledalle, C.A.[Charles-Alban], Denis, L.[Loïc], Tupin, F.[Florence],
How to Compare Noisy Patches? Patch Similarity Beyond Gaussian Noise,
IJCV(99), No. 1, August 2012, pp. 86-102.
Springer DOI 1202
BibRef
Earlier:
Patch similarity under non Gaussian noise,
ICIP11(1845-1848).
IEEE DOI 1201
Low level matching of patches of pixels, not features. Are differences due to noise or dissimilarity. BibRef

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Blur Invariant Translational Image Registration for N-fold Symmetric Blurs,
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Flusser, J.[Jan], Lébl, M.[Matej], Šroubek, F.[Filip], Pedone, M.[Matteo], Kostková, J.[Jitka],
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Springer DOI 2308
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ICPR21(459-464)
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IEEE DOI 1310
image registration BibRef

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Elsevier DOI 1402
Semi-supervised learning BibRef

Kobayashi, T.[Takumi],
Learning data-driven image similarity measure,
ICPR16(3679-3684)
IEEE DOI 1705
Complexity theory, Feature extraction, Image quality, Indexes, Optimization, Quality assessment, Standards BibRef

Barthelemy, Q., Larue, A., Mars, J.I.,
About QLMS Derivations,
SPLetters(21), No. 2, February 2014, pp. 240-243.
IEEE DOI 1402
Quaternionic Least Mean Squares. gradient methods BibRef

Ye, Y.X.[Yuan-Xin], Shan, J.[Jie],
A local descriptor based registration method for multispectral remote sensing images with non-linear intensity differences,
PandRS(90), No. 1, 2014, pp. 83-95.
Elsevier DOI 1404
Image registration BibRef

Ye, P.[Peng], Liu, F.[Fang], Zhao, Z.Y.[Zhi-Yong],
Multiple Gaussian Mixture Models for Image Registration,
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Missing Data and Regression Models for Spatial Images,
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IEEE DOI 1412
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IEEE DOI 1503
least mean squares methods BibRef

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Rationalizing Efficient Compositional Image Alignment,
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Springer DOI 1505
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Mang, A.[Andreas], Biros, G.[George],
An Inexact Newton-Krylov Algorithm for Constrained Diffeomorphic Image Registration,
SIIMS(8), No. 2, 2015, pp. 1030-1069.
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Hadamard transforms BibRef

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Image Registration Based on Autocorrelation of Local Structure,
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IEEE DOI 1601
Band-pass filters BibRef

Li, X.G.[Xiang-Guo],
Accuracy improved image registration based on pre-estimation and compensation,
PRL(70), No. 1, 2016, pp. 87-92.
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PR(55), No. 1, 2016, pp. 45-57.
Elsevier DOI 1604
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Nagarajan, S.[Sudhagar], Schenk, T.[Toni],
Feature-based registration of historical aerial images by Area Minimization,
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Vallejos, R.[Ronny], Mancilla, D.[Diego], Acosta, J.[Jonathan],
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Springer DOI 1605
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PandRS(118), No. 1, 2016, pp. 53-67.
Elsevier DOI 1606
Least-squares matching BibRef

Wang, H., Feng, L., Zhang, J., Liu, Y.,
Semantic Discriminative Metric Learning for Image Similarity Measurement,
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IEEE DOI 1608
computational geometry BibRef

Vishnevskiy, V.[Valery], Gass, T.[Tobias], Szekely, G.[Gabor], Tanner, C.[Christine], Goksel, O.[Orcun],
Isotropic Total Variation Regularization of Displacements in Parametric Image Registration,
MedImg(36), No. 2, February 2017, pp. 385-395.
IEEE DOI 1702
Databases BibRef

Pankaj, D.S.[Dhanya S.], Nidamanuri, R.R.[Rama Rao],
Robust algorithm for multiview registration,
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Multiresolution Search of the Rigid Motion Space for Intensity-Based Registration,
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IEEE DOI 1712
Correlation, Image resolution, Interpolation, Kernel, Optimization, multiresolution registration BibRef

Nasihatkon, B.[Behrooz], Fejne, F., Kahl, F.[Fredrik],
Globally Optimal Rigid Intensity Based Registration: A Fast Fourier Domain Approach,
CVPR16(5936-5944)
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Chen, S.J., Shen, H.L., Li, C., Xin, J.H.,
Normalized Total Gradient: A New Measure for Multispectral Image Registration,
IP(27), No. 3, March 2018, pp. 1297-1310.
IEEE DOI 1801
Correlation, Histograms, Image registration, Mutual information, Optimization, Transforms, Wheels, Multispectral image, similarity measure BibRef

Dong, Y.Y.[Yun-Yun], Long, T.F.[Teng-Fei], Jiao, W.L.[Wei-Li], He, G.J.[Guo-Jin], Zhang, Z.,
A Novel Image Registration Method Based on Phase Correlation Using Low-Rank Matrix Factorization With Mixture of Gaussian,
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IEEE DOI 1801
Correlation, Frequency-domain analysis, Image registration, Matrix converters, Robustness, Symmetric matrices, registration BibRef

Dong, Y.Y.[Yun-Yun], Jiao, W.L.[Wei-Li], Long, T.F.[Teng-Fei], He, G.J.[Guo-Jin], Gong, C.J.[Cheng-Juan],
An Extension of Phase Correlation-Based Image Registration to Estimate Similarity Transform Using Multiple Polar Fourier Transform,
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PRL(103), 2018, pp. 46-52.
Elsevier DOI 1802
Euclidean distance, -dissimilarity, Matching, Local image descriptors, Similarity measure BibRef

Berg, R.[Roelof], König, L.[Lars], Rühaak, J.[Jan], Lausen, R.[Ralph], Fischer, B.[Bernd],
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Springer DOI 1804
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Yu, W.[Wei], Sun, X.S.[Xiao-Shuai], Yang, K.Y.[Kui-Yuan], Rui, Y.[Yong], Yao, H.X.[Hong-Xun],
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CVIU(169), 2018, pp. 40-51.
Elsevier DOI 1804
CNN feature, Image matching, Hierarchical framework, Dense correspondence, Visualization BibRef

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Matching by Monotonic Tone Mapping,
PAMI(40), No. 6, June 2018, pp. 1424-1436.
IEEE DOI 1805
Feature extraction, Histograms, Minimization, Pattern matching, Terminology, Transforms, Template matching, monotonic tone mapping BibRef

Balntas, V.[Vassileios], Tang, L.[Lilian], Mikolajczyk, K.[Krystian],
Binary Online Learned Descriptors,
PAMI(40), No. 3, March 2018, pp. 555-567.
IEEE DOI 1802
BibRef
Earlier:
BOLD: Binary online learned descriptor for efficient image matching,
CVPR15(2367-2375)
IEEE DOI 1510
Benchmark testing, Context, Feature extraction, Hamming distance, Optimization, Robustness, Training, Learning feature descriptors, image matching BibRef

Oron, S.[Shaul], Dekel, T.[Tali], Xue, T., Freeman, W.T.[William T.], Avidan, S.[Shai],
Best-Buddies Similarity: Robust Template Matching Using Mutual Nearest Neighbors,
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IEEE DOI 1807
Clutter, Computer science, Histograms, Pattern matching, Robustness, Best buddies, template matching BibRef

Dekel, T.[Tali], Oron, S.[Shaul], Rubinstein, M.[Michael], Avidan, S.[Shai], Freeman, W.T.[William T.],
Best-Buddies Similarity for robust template matching,
CVPR15(2021-2029)
IEEE DOI 1510
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Hezroni, I.[Itan], Drory, A.[Amnon], Giryes, R.[Raja], Avidan, S.[Shai],
DeepBBS: Deep Best Buddies for Point Cloud Registration,
3DV21(342-351)
IEEE DOI 2201
Point cloud compression, Training, Deep learning, Codes, Shape, Neural networks, point cloud registration, 3d registration, deepbbs BibRef

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Best Buddies Registration for Point Clouds,
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Chen, H., Zehni, M., Zhao, Z.,
A Spectral Method for Stable Bispectrum Inversion With Application to Multireference Alignment,
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IEEE DOI 1807
concave programming, correlation methods, eigenvalues and eigenfunctions, matrix algebra, Signal processing algorithms BibRef

Yan, L.[Li], Wang, Z.Q.[Zi-Qi], Liu, Y.[Yi], Ye, Z.Y.[Zhi-Yun],
Generic and Automatic Markov Random Field-Based Registration for Multimodal Remote Sensing Image Using Grayscale and Gradient Information,
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Guan, B.H., Rangarajan, A.,
Image Stacks as Parametric Surfaces: Application to Image Registration,
IP(27), No. 12, December 2018, pp. 5744-5758.
IEEE DOI 1810
image registration, image registration, image stacks, parametric surfaces, 2-D parametric surface, congealing BibRef

Guan, B.H., Corring, J., Sethi, M., Ranka, S.[Sanjay], Rangarajan, A.[Anand],
Image stack surface area minimization for groupwise and multimodal affine registration,
ICPR16(4196-4201)
IEEE DOI 1705
Area measurement, Entropy, Image registration, Manifolds, Minimization, Mutual information, Surface, treatment BibRef

Zhang, D.P.[Dao-Ping], Chen, K.[Ke],
A Novel Diffeomorphic Model for Image Registration and Its Algorithm,
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3D Orientation-Preserving Variational Models for Accurate Image Registration,
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Yancheshmeh, F.S.[Fatemeh Shokrollahi], Chen, K.[Ke], Kamarainen, J.K.[Joni-Kristian],
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CVPR15(2901-2908)
IEEE DOI 1510
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Chen, S.T.[Su-Ting], Feng, R.[Rui], Zhang, Y.Y.[Yan-Yan], Zhang, C.[Chuang],
Aerial image matching method based on HSI hash learning,
PRL(117), 2019, pp. 131-139.
Elsevier DOI 1901
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Spanakis, C.[Constantinos], Mathioudakis, E.[Emmanouil], Kampanis, N.[Nikos], Tsiknakis, M.[Manolis], Marias, K.[Kostas],
Machine-learning regression in evolutionary algorithms and image registration,
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Wachs-Lopes, G.A., Horvath, M., Giraldi, G.A., Rodrigues, P.S.,
A strategy based on non-extensive statistics to improve frame-matching algorithms under large viewpoint changes,
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Elsevier DOI 1906
SIFT, Tsallis statistics, -Gaussian function, Image matching, Image registration BibRef

Jiang, S.[San], Jiang, W.S.[Wan-Shou],
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PandRS(153), 2019, pp. 1-20.
Elsevier DOI 1906
Feature matching, Delaunay triangulation, Photometric constraint, Geometric constraint, Match expansion, Hierarchical elimination BibRef

Jiang, S.[San], Jiang, W.S.[Wan-Shou], Li, L.L.[Le-Lin], Wang, L.Z.[Li-Zhe], Huang, W.[Wei],
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IEEE DOI 1906
Biomedical measurement, Fuzzy sets, Image registration, Optimization, Biomedical imaging, Feature extraction, transmission electron microscopy BibRef

Li, J.[Jing], Deng, B.S.[Bao-Song], Tang, R.F.[Rong-Fu], Wang, Z.M.[Zheng-Ming], Yan, Y.[Ye],
Local-Adaptive Image Alignment Based on Triangular Facet Approximation,
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IEEE DOI 2001
Cameras, Data models, Distortion, Strain, Technological innovation, Computational efficiency, image stitching, triangular meshing BibRef

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image alignment, radial basis function, scattered data approximation, outlier removal BibRef

Peng, Y., Qi, J., Zhuo, Y.,
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IEEE DOI 2001
Correlation, Visualization, Media, Semantics, Deep learning, Adaptation models, Games, cross-media multi-level adaptive alignment BibRef

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Springer DOI 2002
Based on triples of matches. BibRef

Khurshid, N.[Numan], Tharani, M.[Mohbat], Taj, M.[Murtaza], Qureshi, F.Z.[Faisal Z.],
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IEEE DOI 2003
Feature extraction, Image matching, Measurement, Image retrieval, Training, Task analysis, RS image search BibRef

Liu, Y.[Yang], Pan, J.S.[Jin-Shan], Su, Z.X.[Zhi-Xun], Tang, K.W.[Ke-Wei],
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Cui, W.T.[Wen-Ting], Du, S.Y.[Shao-Yi], Wan, T.[Teng], Yao, R.Z.[Run-Zhao], Liu, Y.Y.[Yu-Ying], Han, M.Q.[Meng-Qi], Mou, Q.N.[Qing-Nan], Guo, Y.C.[Yu-Cheng], Zheng, N.N.[Nan-Ning],
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Elsevier DOI 2010
Scaling Registration, Bi-Directional Distance, Correntropy, Iterative Closest Point BibRef

Zhang, X.Q.[Xiao-Qin], Wang, D.[Di], Zhou, Z.Y.[Zheng-Yuan], Ma, Y.[Yi],
Robust Low-Rank Tensor Recovery with Rectification and Alignment,
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IEEE DOI 2012
Minimization, Optimization, Convergence, Sparse matrices, Visualization, Tools, Low-rank tensor recovery, rectification, proximal gradient BibRef

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Springer DOI 1704
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Mehltretter, M.[Max], Heipke, C.[Christian],
Aleatoric uncertainty estimation for dense stereo matching via CNN-based cost volume analysis,
PandRS(171), 2021, pp. 63-75.
Elsevier DOI 2012
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Earlier:
CNN-Based Cost Volume Analysis as Confidence Measure for Dense Matching,
3D-Wild19(2070-2079)
IEEE DOI 2004
Depth reconstruction, Uncertainty quantification, Confidence, Deep learning. convolutional neural nets, image matching, learning (artificial intelligence), neural net architecture, BibRef

Uss, M.L., Vozel, B., Abramov, S.K., Chehdi, K.,
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IEEE DOI 2012
Image registration, Support vector machines, Histograms, Optical distortion, Remote sensing, Robustness, Correlation, support vector machine (SVM) BibRef

Wang, Y.H.[Yan-Hong], Zhao, R.Z.[Rui-Zhen], Liang, L.Q.[Lie-Quan], Zheng, X.W.[Xin-Wei], Cen, Y.G.[Yi-Gang], Kan, S.C.[Shi-Chao],
Block-based image matching for image retrieval,
JVCIR(74), 2021, pp. 102998.
Elsevier DOI 2101
Match image based on subimages. Composite descriptors, Block index, Vector of locally aggregated descriptors, Image matching, Image retrieval BibRef

Xiao, G.B.[Guo-Bao], Wang, S.P.[Shi-Ping], Wang, H.[Han], Ma, J.Y.[Jia-Yi],
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PR(119), 2021, pp. 108062.
Elsevier DOI 2106
mismatch removal. Feature matching, Geometric model fitting, Co-occurrence statistics, Guided sampling BibRef

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Diffeomorphic Image Registration with an Optimal Control Relaxation and Its Implementation,
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Rocco, I.[Ignacio], Cimpoi, M.[Mircea], Arandjelovic, R.[Relja], Torii, A.[Akihiko], Pajdla, T.[Tomas], Sivic, J.[Josef],
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IEEE DOI 2201
Feature extraction, Pattern matching, Task analysis, Convolutional neural networks, Reliability, category-level matching BibRef

Rocco, I.[Ignacio], Arandjelovic, R.[Relja], Sivic, J.[Josef],
Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions,
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Springer DOI 2011
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Zhang, P.J.[Pei-Jing], Luo, X.Y.[Xiao-Yan], Ma, Y.[Yan], Wang, C.Y.[Cheng-Yi], Wang, W.[Wei], Qian, X.[Xu],
Coarse-to-Fine Image Registration for Multi-Temporal High Resolution Remote Sensing Based on a Low-Rank Constraint,
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Zhang, J.H.[Jia-Hui], Sun, D.W.[Da-Wei], Luo, Z.X.[Zi-Xin], Yao, A.B.[An-Bang], Chen, H.K.[Hong-Kai], Zhou, L.[Lei], Shen, T.W.[Tian-Wei], Chen, Y.R.[Yu-Rong], Quan, L.[Long], Liao, H.G.[Hon-Gen],
OANet: Learning Two-View Correspondences and Geometry Using Order-Aware Network,
PAMI(44), No. 6, June 2022, pp. 3110-3122.
IEEE DOI 2205
BibRef
Earlier: A1, A2, A3, A4, A6, A7, A8, A10, A9, Only:
Learning Two-View Correspondences and Geometry Using Order-Aware Network,
ICCV19(5844-5853)
IEEE DOI 2004
Geometry, Visualization, Filtering, Feature extraction, Sun, visual localization. compressed sensing, image capture, image coding, image sampling, learning (artificial intelligence) BibRef

Liu, J.C.[Jian-Chen], Yin, H.X.[Hao-Xuan], Liu, B.[Baohua], Lu, P.S.[Ping-She],
Tie Point Matching between Terrestrial and Aerial Images Based on Patch Variational Refinement,
RS(15), No. 4, 2023, pp. xx-yy.
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Mustafa, A.A.[Adnan A.],
Quick Dissimilarity Detection for Center-Based Binary Images Via Smart Mapping,
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DOI Link 2312
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Peng, C.L.[Chang-Le], Yang, Z.Y.[Zhen-Yu], Lu, Y.W.[Yi-Wei], Li, Z.Z.[Zi-Zhuo], Jin, Q.W.[Qi-Wen],
A more reliable local-global-guided network for correspondence pruning,
PRL(181), 2024, pp. 16-22.
Elsevier DOI 2405
Image matching, Deep learning, Correspondence pruning BibRef

Gong, Z.P.[Zhe-Peng], Xiao, G.B.[Guo-Bao], Shi, Z.W.[Zi-Wei], Chen, R.Q.[Ri-Qing], Yu, J.[Jun],
MSGA-Net: Progressive Feature Matching via Multi-Layer Sparse Graph Attention,
CirSysVideo(34), No. 7, July 2024, pp. 5765-5775.
IEEE DOI Code:
WWW Link. 2407
Task analysis, Sieving, Semantics, Circuits and systems, Transformers, Feature extraction, Reliability, Outlier removal, deep learning BibRef

Dai, L.Y.[Luan-Yuan], Liu, Y.Z.[Yi-Zhang], Ma, J.Y.[Jia-Yi], Wei, L.F.[Li-Fang], Lai, T.T.[Tao-Tao], Yang, C.C.[Chang-Cai], Chen, R.Q.[Ri-Qing],
MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph,
CVPR22(8963-8972)
IEEE DOI 2210
Network topology, Semantics, Pose estimation, Machine learning, Euclidean distance, Cameras, Computer vision theory, retrieval BibRef

Li, Z.Z.[Zi-Zhuo], Zhang, S.H.[Shi-Hua], Ma, J.Y.[Jia-Yi],
U-Match: Exploring Hierarchy-Aware Local Context for Two-View Correspondence Learning,
PAMI(46), No. 12, December 2024, pp. 10960-10977.
IEEE DOI 2411
Visualization, Feature extraction, Geometry, Pose estimation, Context modeling, Accuracy, Vectors, Two-view geometry, image matching BibRef

Achille, A.[Alessandro], Steeg, G.V.[Greg Ver], Liu, T.Y.[Tian Yu], Trager, M.[Matthew], Klingenberg, C.[Carson], Soatto, S.[Stefano],
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding,
CVPR24(11062-11071)
IEEE DOI 2410
Visualization, Law, Semantics, Natural languages, Machine learning, Length measurement, conceptual similarity, semantic information, image similarity BibRef

Wang, X.[Xin], Wang, L.Z.[Li-Zhi], Ma, X.T.[Xiang-Tian], Zhang, M.[Maoqing], Zhu, L.[Lin], Huang, H.[Hua],
In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging,
CVPR24(24881-24891)
IEEE DOI Code:
WWW Link. 2410
Image coding, Accuracy, Semantics, Transformers, Hyperspectral Imaging, Similarity Exploiting, DCCHI BibRef

Ramtoula, B.[Benjamin], Gadd, M.[Matthew], Newman, P.[Paul], de Martini, D.[Daniele],
Visual DNA: Representing and Comparing Images Using Distributions of Neuron Activations,
CVPR23(11113-11123)
IEEE DOI 2309
BibRef

He, Y.T.[Yu-Ting], Yang, G.[Guanyu], Ge, R.[Rongjun], Chen, Y.[Yang], Coatrieux, J.L.[Jean-Louis], Wang, B.[Boyu], Li, S.[Shuo],
Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-training,
CVPR23(9538-9547)
IEEE DOI 2309
BibRef

Vaze, S.[Sagar], Carion, N.[Nicolas], Misra, I.[Ishan],
GeneCIS: A Benchmark for General Conditional Image Similarity,
CVPR23(6862-6872)
IEEE DOI 2309
BibRef

Ball, J.M.[John M.], Horner, C.L.[Christopher L.],
Image Comparison and Scaling via Nonlinear Elasticity,
SSVM23(565-574).
Springer DOI 2307
BibRef

Chen, H.K.[Hong-Kai], Luo, Z.X.[Zi-Xin], Zhou, L.[Lei], Tian, Y.[Yurun], Zhen, M.[Mingmin], Fang, T.[Tian], McKinnon, D.[David], Tsin, Y.H.[Yang-Hai], Quan, L.[Long],
ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer,
ECCV22(XXXII:20-36).
Springer DOI 2211
BibRef

Ghildyal, A.[Abhijay], Liu, F.[Feng],
Shift-Tolerant Perceptual Similarity Metric,
ECCV22(XVIII:91-107).
Springer DOI 2211
BibRef

Sun, Z.K.[Zi-Kai], Zhang, Z.[Zihan], Blu, T.[Thierry],
An Algebraic Optimization Approach To Image Registration,
ICIP22(2776-2780)
IEEE DOI 2211
Image registration, Costs, Streaming media, Real-time systems, Task analysis, Optimization, Strain, Image registration, Local All-Pass filters BibRef

Risser-Maroix, O.[Olivier], Kurtz, C.[Camille], Loménie, N.[Nicolas],
Learning an Adaptation Function to Assess Image Visual Similarities,
ICIP21(2498-2502)
IEEE DOI 2201
Measurement, Visualization, Cognitive processes, Image processing, Decision making, Visual Similarity, Features Adaptation, Analogies BibRef

Wiles, O.[Olivia], Ehrhardt, S.[Sébastien], Zisserman, A.[Andrew],
Co-Attention for Conditioned Image Matching,
CVPR21(15915-15924)
IEEE DOI 2111
Location awareness, Solid modeling, Computational modeling, Image matching, Neural networks, Lighting BibRef

Khosravi, J.[Javanshir], Abadi, M.S.E.[Mohammad Shams Esfand], Ebrahimpour, R.[Reza],
A Novel Iterative Rigid Image Registration Algorithm Based on the Newton Method,
IJIG(21), No. 2 2021, pp. 2150013.
DOI Link 2105
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Min, J.H.[Ju-Hong], Lee, J.M.[Jong-Min], Ponce, J.[Jean], Cho, M.S.[Min-Su],
Learning to Compose Hypercolumns for Visual Correspondence,
ECCV20(XV:346-363).
Springer DOI 2011
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Hepburn, A.[Alexander], Laparra, V.[Valero], Malo, J.[Jesús], McConville, R.[Ryan], Santos-Rodriguez, R.[Raul],
Perceptnet: A Human Visual System Inspired Neural Network For Estimating Perceptual Distance,
ICIP20(121-125)
IEEE DOI 2011
Distortion, Visual systems, Perturbation methods, Machine learning, Feature extraction, neural networks BibRef

Zhang, Z., Lee, W.S.,
Deep Graphical Feature Learning for the Feature Matching Problem,
ICCV19(5086-5095)
IEEE DOI 2004
feature extraction, graph theory, image matching, image motion analysis, image registration, image representation, Machine learning BibRef

Dym, N., Kovalsky, S.,
Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration,
ICCV19(1628-1636)
IEEE DOI 2004
computational complexity, image registration, optimisation, tree searching, rigid registration BnB algorithms, Iterative closest point algorithm BibRef

Yin, Z.C.[Zhi-Chao], Darrell, T.J.[Trevor J.], Yu, F.[Fisher],
Hierarchical Discrete Distribution Decomposition for Match Density Estimation,
CVPR19(6037-6046).
IEEE DOI 2002
Hierarchical Discrete Distribution Decomposition for pixel correspondence. BibRef

Tarel, J.P.[Jean-Philippe],
Two Images Comparison with Invariance to Illumination Properties,
ICIP19(2696-2700)
IEEE DOI 1910
Image comparison, invariance to illumination, bilateral filtering BibRef

Kurzejamski, G.[Grzegorz], Komorowski, J.[Jacek], Dabala, L.[Lukasz], Czarnota, K.[Konrad], Lynen, S.[Simon], Trzcinski, T.[Tomasz],
SupernCN: Neighbourhood Consensus Network for Robust Outdoor Scenes Matching,
ACIVS20(492-503).
Springer DOI 2003
BibRef
Earlier: A6, A2, A3, A4, A1, A5:
SConE: Siamese Constellation Embedding Descriptor for Image Matching,
3D-Wild18(I:401-413).
Springer DOI 1905
BibRef

Wang, G., Chen, Y., Zhang, H.,
Spatially Coherent Matching for Robust Registration,
ICPR18(1133-1138)
IEEE DOI 1812
Annealing, Kernel, Spatial coherence, Estimation, Pattern matching, Iterative closest point algorithm, Shape BibRef

Sevilmis, B.[Berk], Kimia, B.B.[Benjamin B.],
Alignment by Composition,
WACV19(2009-2018)
IEEE DOI 1904
BibRef
Earlier: Sevilmis, B.[Berk], Kimia, B.B.[Benjamin B.],
Shape-based Image Correspondence,
BMVC16(xx-yy).
HTML Version. 1805
image segmentation, image sequences, motion estimation, object detection, video signal processing, dense motion field, Solid modeling BibRef

Chen, W.J.,
Standard Deviation Normalized Summed Squared Difference for Image Registration,
DICTA17(1-8)
IEEE DOI 1804
feature extraction, image matching, image registration, image content, image pairs, image pre- processing, BibRef

Shi, H.Q.[Han-Qin], Tao, L.[Liang],
Visual Comparison Based on Multi-class Classification Model,
PSIVT17(75-86).
Springer DOI 1802
BibRef

Lin, C.H.[Chen-Hsuan], Lucey, S.[Simon],
Inverse Compositional Spatial Transformer Networks,
CVPR17(2252-2260)
IEEE DOI 1711
Link between Lucas-Kanade and Spatial Transformer Networks. Geometry, Integrated circuits, Machine learning, Neural networks, Prediction, algorithms BibRef

Chang, C.H., Chou, C.N., Chang, E.Y.,
CLKN: Cascaded Lucas-Kanade Networks for Image Alignment,
CVPR17(3777-3785)
IEEE DOI 1711
Estimation, Feature extraction, Jacobian matrices, Lighting, Mathematical model, Neural networks, Robustness
See also Iterative Image Registration Technique with an Application to Stereo Vision, An. BibRef