2-D and 3-D Image Registration: For Medical, Remote Sensing, and Industrial Applications,
WileyMarch 2005. ISBN: 978-0-471-64954-0. Buy this book: 2-D and 3-D Image Registration: for Medical, Remote Sensing, and Industrial Applications
0905BibRef
PhotoTourism, Matching Challenge Dataset,
2020.
Dataset, Matching.
WWW Link. PhotoTourism dataset.
Large baseline matching.
Brown, L.G.[Lisa G.],
A Survey of Image Registration Techniques,
Surveys(24), No. 4, December 1992, pp. 325-376.
Survey, Registration. Large set of references on registration. Correlation, Fourier,
point mapping, elastic models.
BibRef
9212
McGillem, C.D.,
Svedlow, M.,
Image Registration Error Variance as a Measure of Overlay Quality,
GeoEl(14), No. 1, January 1976, pp. 44-49.
BibRef
7601
Svedlow, M.,
McGillem, C.D., and
Anuta, P.E.,
Image Registration: Simlarity Measure and Processing
Method Comparisons,
AeroSys(14), No. 1, 1978, pp. 141-149.
BibRef
7800
Dewdney, A.K.,
Analysis of a steepest-descent image-matching algorithm,
PR(10), No. 1, 1978, pp. 31-39.
Elsevier DOI
0309
stepest descent for best local match, and select starting points.
BibRef
Wong, R.Y., and
Hall, E.L.,
Performance Comparison of Scene Matching Techniques,
PAMI(1), No. 3, July 1979, pp. 325-330.
BibRef
7907
Earlier:
PRAI-78(22-24; 25-27).
Matching, Evaluation.
BibRef
Sadjadi, F.A.,
Performance Evaluations of Correlations of Digital Images Using
Different Separability Measures,
PAMI(4), No. 4, July 1982, pp. 436-441.
BibRef
8207
And:
PESIPS93(XX-YY).
BibRef
Sadjadi, F.A.,
Comparative Image Fusion Analysais,
OTCBVS05(III: 8-8).
IEEE DOI
0507
BibRef
Dvornychenko, V.N.,
Bounds on (Deterministic) Correlation Functions with
Applications to Registration,
PAMI(5), No. 2, March 1983, pp. 206-213.
BibRef
8303
Gülch, E.,
Results of Test on Image Matching of ISPRS WG III/4,
IAPRS(27), No 3, 1988, pp. 254-271.
BibRef
8800
Ranganath, H.S.,
Analysis of Bilevel Quantizers Used in Binary Image Correlators,
IVC(6), No. 3, August 1988, pp. 193-197.
Elsevier DOI
BibRef
8808
Hashlamoun, W.A.,
Varshney, P.K.,
Samarasooriya, V.N.S.,
A tight upper bound on the Bayesian probability of error,
PAMI(16), No. 2, February 1994, pp. 220-224.
IEEE DOI
0401
BibRef
Stevens, M.R.[Mark R.],
Evaluating 2D Image Comparison Metrics for 3D Scene Interpretation,
CVIU(84), No. 1, October 2001, pp. 179-197.
DOI Link
0203
BibRef
Stevens, M.R.[Mark R.],
Beveridge, J.R.[J. Ross],
Image Comparison Techniques in the Context of Scene Refinement,
ICPR00(Vol I: 685-688).
IEEE DOI
0009
BibRef
Chen, H.M.[Hua-Mei],
Varshney, P.K.[Pramod K.],
Arora, M.K.[Manoj K.],
Performance of mutual information similarity measure for registration
of multitemporal remote sensing images,
GeoRS(41), No. 11, November 2003, pp. 2445-2454.
IEEE Abstract.
0311
BibRef
Guindon, B.,
Performance Evaluation of Real-Simulated Image Matching Techniques
in the Acquisition of Ground Control for ERS-1 Image Geocoding,
PandRS(50), No. 1, February 1995, pp. 2-11.
BibRef
9502
Cook, A.E.,
Pinder, J.E.,
Relative Accuracy of Rectifications Using Coordinates Determined from
Maps and the Global Positioning System,
PhEngRS(62), No. 1, January 1996, pp. 73-77.
BibRef
9601
Heipke, C.,
Special Issue: Automatic Image Orientation - Preface,
PandRS(52), No. 3, June 1997, pp. 101-102.
9708
BibRef
Buiten, H.J.,
Vanputten, B.,
Quality Assessment of Remote-Sensing Image Registration:
Analysis and Testing of Control Point Residuals,
PandRS(52), No. 2, April 1997, pp. 57-73.
9705
Evaluation, Registration.
BibRef
Lester, H.[Hava],
Arridge, S.R.[Simon R.],
A survey of hierarchical non-linear medical image registration,
PR(32), No. 1, January 1999, pp. 129-149.
Elsevier DOI
Survey, Registration. 3 types of hierarchical non-linear registration.
BibRef
9901
Pluim, J.P.W.[Josien P. W.],
Maintz, J.B.A.[J. B. Antoine],
Viergever, M.A.[Max A.],
Interpolation Artifacts in Mutual Information-Based Image Registration,
CVIU(77), No. 2, February 2000, pp. 211-232.
DOI Link
0003
BibRef
Pluim, J.P.W.,
Maintz, J.B.A.,
Viergever, M.A.,
Image registration by maximization of combined mutual information and
gradient information,
MedImg(19), No. 8, August 2000, pp. 809-814.
IEEE Top Reference.
0110
BibRef
Pluim, J.P.W.,
Maintz, J.B.A.,
Viergever, M.A.,
Mutual-information-based registration of medical images: a survey,
MedImg(22), No. 8, August 2003, pp. 986-1004.
IEEE Abstract.
0308
Survey, Registration.
BibRef
Maintz, J.B.A.,
Viergever, M.A.,
A Survey of Medical Image Registration,
MIA(2), No. 1, 1998, pp. 1-16.
Survey, Registration.
BibRef
9800
Klein, S.,
Staring, M.,
Murphy, K.,
Viergever, M.A.,
Pluim, J.P.W.,
elastix: A Toolbox for Intensity-Based Medical Image Registration,
MedImg(29), No. 1, January 2010, pp. 196-205.
IEEE DOI
1001
Code, Registration.
BibRef
Berendsen, F.F.,
Marstal, K.,
Klein, S.,
Staring, M.,
The Design of SuperElastix: A Unifying Framework for a Wide Range of
Image Registration Methodologies,
WBIR16(498-506)
IEEE DOI
1612
BibRef
Pluim, J.P.W.,
Maintz, J.B.A.,
Viergever, M.A.,
Mutual information matching in multiresolution contexts,
IVC(19), No. 1-2, January 2001, pp. 45-52.
Elsevier DOI
0101
BibRef
Klein, S.[Stefan],
Pluim, J.P.W.[Josien P. W.],
Staring, M.[Marius],
Viergever, M.A.[Max A.],
Adaptive Stochastic Gradient Descent Optimisation for Image
Registration,
IJCV(81), No. 3, March 2009, pp. xx-yy.
Springer DOI
0902
Graidient Descent>.
See also Evaluation of Optimization Methods for Nonrigid Medical Image Registration Using Mutual Information and B-Splines.
BibRef
Qiao, Y.,
van Lew, B.,
Lelieveldt, B.P.F.,
Staring, M.,
Fast Automatic Step Size Estimation for Gradient Descent Optimization
of Image Registration,
MedImg(35), No. 2, February 2016, pp. 391-403.
IEEE DOI
1602
Graidient Descent. Accuracy
BibRef
Qiao, Y.,
Lelieveldt, B.P.F.,
Staring, M.,
An Efficient Preconditioner for Stochastic Gradient Descent
Optimization of Image Registration,
MedImg(38), No. 10, October 2019, pp. 2314-2325.
IEEE DOI
1910
BibRef
And:
Corrections:
GeoRS(57), No. 11, November 2019, pp. 9512-9512.
IEEE DOI
1911
Convergence, Stochastic processes, Cost function,
Image registration, Jacobian matrices, Mathematical model,
image registration
BibRef
Pluim, J.P.W.,
Fitzpatrick, J.M.,
Image registration,
MedImg(22), No. 11, November 2003, pp. 1341-1343.
IEEE Abstract.
0311
BibRef
Pluim, J.P.W.,
Maintz, J.B.A.,
Viergever, M.A.,
f-information measures in medical image registration,
MedImg(23), No. 12, December 2004, pp. 1508-1516.
IEEE Abstract.
0412
BibRef
Jokinen, O.[Olli],
Haggren, H.[Henrik],
Statistical analysis of two 3-D registration and modeling strategies,
PandRS(53), No. 6, December 1998, pp. 320-341.
BibRef
9812
Pernu, F.[Franjo],
Srtiehl, H.S.[H. Siegfried],
Viergever, M.A.[Max A.],
Biomedical Image Registration,
IVC(19), No. 1-2, January 2001, pp. 1-2.
Elsevier DOI
0101
Special Issue introduction.
BibRef
Fitzpatrick, J.M.[J. Michael], and
West, J.B.[Jay B.],
The distribution of target registration error in rigid-body point-based
registration,
MedImg(20), No. 9, September 2001, pp. 917-927.
IEEE Top Reference.
0110
BibRef
And:
A Blinded Evaluation and Comparison of Image Registration Methods,
EEMTV98(xx)
BibRef
Danilchenko, A.,
Fitzpatrick, J.M.,
General Approach to First-Order Error Prediction in Rigid Point
Registration,
MedImg(30), No. 3, March 2011, pp. 679-693.
IEEE DOI
1103
BibRef
And:
Erratum:
MedImg(30), No. 11, November 2011, pp. 2012.
IEEE DOI
1111
BibRef
Muller, J.P.,
Mandanayake, A.,
Moroney, C.,
Davies, R.,
Diner, D.J.,
Paradise, S.,
MISR stereoscopic image matchers: techniques and results,
GeoRS(40), No. 7, July 2002, pp. 1547-1559.
IEEE Top Reference.
0210
BibRef
Zitova, B.[Barbara],
Flusser, J.[Jan],
Image Registration Methods: A Survey,
IVC(21), No. 11, October 2003, pp. 977-1000.
Elsevier DOI
0310
Survey, Registration. Setps: feature detection, feature matching, mapping function, image
transformation.
BibRef
Pang, S.N.,
Kim, H.C.,
Kim, D.,
Bang, S.Y.,
Prediction of the suitability for image-matching based on
self-similarity of vision contents,
IVC(22), No. 5, 1 May 2004, pp. 355-365.
Elsevier DOI
0403
From stabiility delineate the area that is difficult to match.
BibRef
Robinson, D.[Dirk],
Milanfar, P.[Peyman],
Fundamental Performance Limits in Image Registration,
IP(13), No. 9, September 2004, pp. 1185-1199.
IEEE DOI
0409
BibRef
Earlier:
ICIP03(II: 323-326).
IEEE DOI
0312
BibRef
Vande Kraats, E.B.,
Penney, G.P.,
Tomazevic, D.,
van Walsum, T.,
Niessen, W.J.,
Standardized Evaluation Methodology for 2-D--3-D Registration,
MedImg(24), No. 9, September 2005, pp. 1177-1189.
IEEE DOI
0509
BibRef
Zagorchev, L.,
Goshtasby, A.A.,
A Comparative Study of Transformation Functions for Nonrigid Image
Registration,
IP(15), No. 3, March 2006, pp. 529-538.
IEEE DOI
0604
BibRef
Earlier:
A mechanism for range image integration without image registration,
3DIM05(126-133).
IEEE DOI
0508
BibRef
CVonline: Recognition and Registration Methods,
CV-OnlineJuly 2001.
HTML Version.
Survey, Registration.
Survey, Recognition.
BibRef
0107
Ericsson, A.[Anders],
Karlsson, J.[Johan],
Measures for Benchmarking of Automatic Correspondence Algorithms,
JMIV(28), No. 3, July 2007, pp. 225-241.
Springer DOI
0709
Survey, Matching.
BibRef
Earlier: A2, A1:
A Ground Truth Correspondence Measure for Benchmarking,
ICPR06(III: 568-573).
IEEE DOI
0609
BibRef
And: A1, A2:
Benchmarking of algorithms for automatic correspondence localisation,
BMVC06(II:759).
PDF File.
0609
BibRef
Goshtasby, A.A.[A. Ardeshir],
2-D and 3-D Image Registration:
For Medical, Remote Sensing, and Industrial Applications,
WileyMarch 2005.
ISBN: 978-0-471-64954-0.
Buy this book: 2-D and 3-D Image Registration: for Medical, Remote Sensing, and Industrial Applications
BibRef
Shams, R.,
Sadeghi, P.,
Kennedy, R.A.,
Hartley, R.I.,
A Survey of Medical Image Registration on Multicore and the GPU,
SPMag(27), No. 2, 2010, pp. 50-60.
IEEE DOI
1003
Survey, Registration.
BibRef
Caputo, B.[Barbara],
Jie, L.[Luo],
In Defense of Exact Matching for Object Recognition,
ELCVIA(8), No. 3, November 2009, pp. xx-yy.
DOI Link
1004
Evaluation of matching performance. Exact (vs. pyramid, approximate approach)
works best.
BibRef
Mégret, R.[Rémi],
Authesserre, J.B.[Jean-Baptiste],
Berthoumieu, Y.[Yannick],
Bidirectional Composition on Lie Groups for Gradient-Based Image
Alignment,
IP(19), No. 9, September 2010, pp. 2369-2381.
IEEE DOI
1008
BibRef
Earlier:
The Bi-directional Framework for Unifying Parametric Image Alignment
Approaches,
ECCV08(III: 400-411).
Springer DOI
0810
BibRef
Authesserre, J.B.[Jean-Baptiste],
Megret, R.[Remi],
Berthoumieu, Y.[Yannick],
Automatic estimation of asymmetry for gradient-based alignment of noisy
images on Lie group,
PRL(32), No. 10, 15 July 2011, pp. 1480-1492.
Elsevier DOI
1106
Asymmetric image alignment; Noisy images; Parametric motion
estimation; Gradient methods; Lie groups
BibRef
Goshtasby, A.A.[A. Ardeshir],
Image Registration: Principles, Tools and Methods,
Springer2012.
ISBN 978-1-4471-2457-3
WWW Link.
Survey, Registration.
1203
Buy this book: Image Registration: Principles, Tools and Methods (Advances in Computer Vision and Pattern Recognition)
See also 2-D and 3-D Image Registration: For Medical, Remote Sensing, and Industrial Applications.
BibRef
Saleem, S.[Sajid],
Sablatnig, R.[Robert],
A Robust SIFT Descriptor for Multispectral Images,
SPLetters(21), No. 4, April 2014, pp. 400-403.
IEEE DOI
1403
BibRef
Earlier:
A Modified SIFT Descriptor for Image Matching under Spectral Variations,
CIAP13(I:652-661).
Springer DOI
1311
Laplace transforms
BibRef
Saleem, S.[Sajid],
Bais, A.[Abdul],
Sablatnig, R.[Robert],
A Performance Evaluation of SIFT and SURF for Multispectral Image
Matching,
ICIAR12(I: 166-173).
Springer DOI
1206
BibRef
Uss, M.L.,
Vozel, B.,
Dushepa, V.A.,
Komjak, V.A.,
Chehdi, K.,
A Precise Lower Bound on Image Subpixel Registration Accuracy,
GeoRS(52), No. 6, June 2014, pp. 3333-3345.
IEEE DOI
1403
Accuracy
BibRef
Uss, M.L.,
Vozel, B.,
Lukin, V.V.,
Chehdi, K.,
Multimodal Remote Sensing Image Registration With Accuracy Estimation
at Local and Global Scales,
GeoRS(54), No. 11, November 2016, pp. 6587-6605.
IEEE DOI
1610
Adaptive optics
BibRef
Fedorov, A.,
Wells, W.M.,
Kikinis, R.,
Tempany, C.M.,
Vangel, M.G.,
Application of Tolerance Limits to the Characterization of Image
Registration Performance,
MedImg(33), No. 7, July 2014, pp. 1541-1550.
IEEE DOI
1407
Algorithm design and analysis
BibRef
Tagare, H.D.[Hemant D.],
Rao, M.,
Why Does Mutual-Information Work for Image Registration?
A Deterministic Explanation,
PAMI(37), No. 6, June 2015, pp. 1286-1296.
IEEE DOI
1506
Biomedical measurement
BibRef
Le Folgoc, L.,
Delingette, H.[Hervé],
Criminisi, A.[Antonio],
Ayache, N.J.[Nicholas J.],
Quantifying Registration Uncertainty With Sparse Bayesian Modelling,
MedImg(36), No. 2, February 2017, pp. 607-617.
IEEE DOI
1702
Adaptation models
BibRef
Ketcha, M.D.,
de Silva, T.,
Han, R.,
Uneri, A.,
Goerres, J.,
Jacobson, M.W.,
Vogt, S.,
Kleinszig, G.,
Siewerdsen, J.H.,
Effects of Image Quality on the Fundamental Limits of Image
Registration Accuracy,
MedImg(36), No. 10, October 2017, pp. 1997-2009.
IEEE DOI
1710
computerised tomography, diagnostic radiography, image filtering,
image registration, image resolution, mean square error methods,
medical CRLB, Cramer-Rao lower bound,
BibRef
Ramos, J.S.[Jonathan S.],
Watanabe, C.Y.V.[Carolina Y.V.],
Traina, C.[Caetano],
Traina, A.J.M.[Agma J.M.],
How to speed up outliers removal in image matching,
PRL(114), 2018, pp. 31-40.
Elsevier DOI
1811
Feature point matching, Outliers removal, Filtering,
Graph-based representation
BibRef
Rengarajan, R.[Rajagopalan],
Schott, J.R.[John R.],
Evaluation of Sensor and Environmental Factors Impacting the Use of
Multiple Sensor Data for Time-Series Applications,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link
1812
BibRef
Hogland, J.[John],
Affleck, D.L.R.[David L.R.],
Mitigating the Impact of Field and Image Registration Errors through
Spatial Aggregation,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Talker, L.[Lior],
Moses, Y.[Yael],
Shimshoni, I.[Ilan],
Estimating the Number of Correct Matches Using Only Spatial Order,
PAMI(41), No. 12, December 2019, pp. 2846-2860.
IEEE DOI
1911
Analyze the set of matches using the spatial order of the features.
Pipelines, Estimation, Pattern matching,
Measurement, Geometry,
correct matches
BibRef
Chin, T.J.[Tat-Jun],
Cai, Z.P.[Zhi-Peng],
Neumann, F.[Frank],
Robust Fitting in Computer Vision: Easy or Hard?,
IJCV(128), No. 3, March 2020, pp. 575-587.
Springer DOI
2003
BibRef
Earlier:
ECCV18(XII: 715-730).
Springer DOI
1810
BibRef
Chen, B.[Bo],
Chin, T.J.[Tat-Jun],
Klimavicius, M.[Marius],
Occlusion-Robust Object Pose Estimation with Holistic Representation,
WACV22(2223-2233)
IEEE DOI
2202
Representation learning, Measurement, Technological innovation,
Codes, Computational modeling, Pose estimation,
Deep Learning object pose estimation
BibRef
Peng, J.C.[Jun-Cai],
Shao, Y.J.[Yuan-Jie],
Sang, N.[Nong],
Gao, C.X.[Chang-Xin],
Joint image deblurring and matching with feature-based sparse
representation prior,
PR(103), 2020, pp. 107300.
Elsevier DOI
2005
Blurred image matching, Joint image deblurring and matching,
Sparse representation priorsparse, (2)PCA feature
BibRef
Shao, Y.J.[Yuan-Jie],
Sang, N.[Nong],
Li, Y.C.[Ya-Cheng],
Li, W.H.[Wen-Hao],
Gao, C.X.[Chang-Xin],
Joint image restoration and matching method based on
distance-weighted sparse representation prior,
PRL(135), 2020, pp. 160-166.
Elsevier DOI
2006
Image matching, Image restoration,
Joint blurred image restoration and matching, Coarse-to-fine matching
BibRef
Li, W.H.[Wen-Hao],
Sang, N.[Nong],
Gao, C.X.[Chang-Xin],
Shao, Y.J.[Yuan-Jie],
Joint Image Restoration and Matching Based on Hierarchical Sparse
Representation,
ICIP19(4494-4498)
IEEE DOI
1910
hierarchical sparse representation, image matching,
image restoration, cluster analysis, PCA
BibRef
Shao, Y.J.[Yuan-Jie],
Sang, N.[Nong],
Gao, C.X.[Chang-Xin],
Lin, W.[Wei],
Joint Image Restoration and Matching Based on Distance-Weighted
Sparse Representation,
ICPR18(2498-2503)
IEEE DOI
1812
Image restoration, Dictionaries, Image matching,
Feature extraction, Correlation, Task analysis, Kernel
BibRef
Ma, J.Y.[Jia-Yi],
Jiang, X.Y.[Xing-Yu],
Fan, A.X.[Ao-Xiang],
Jiang, J.J.[Jun-Jun],
Yan, J.C.[Jun-Chi],
Image Matching from Handcrafted to Deep Features: A Survey,
IJCV(129), No. 1, January 2021, pp. 23-79.
Springer DOI
2101
BibRef
Fernández, C.I.[Claudio Ignacio],
Haddadi, A.[Ata],
Leblon, B.[Brigitte],
Wang, J.F.[Jin-Fei],
Wang, K.[Keri],
Comparison between Three Registration Methods in the Case of
Non-Georeferenced Close Range of Multispectral Images,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link
2102
BibRef
Bruno, N.[Nazarena],
Roncella, R.[Riccardo],
Diotri, F.[Fabrizio],
Thoeni, K.[Klaus],
Giacomini, A.[Anna],
Influence of Block Geometry Configuration on Multi-Image Dense
Matching,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Shen, L.[Liang],
Xu, Z.[Zhou],
Zhu, J.H.[Jia-Hua],
Huang, X.T.[Xiao-Tao],
Jin, T.[Tian],
A frame-based probabilistic local verification method for robust
correspondence,
PandRS(192), 2022, pp. 232-243.
Elsevier DOI
2209
Locality Preservation Matching, Robust feature correspondence,
Outlier rejection, Mismatch removal, UAV localization, Feature matching
BibRef
Li, H.J.[Hong-Jie],
Dong, M.Y.[Ming-Yue],
Zheng, X.W.[Xian-Wei],
Xu, X.[Xiong],
Xie, X.[Xiao],
Xiong, H.J.[Han-Jiang],
Context-enhanced motion coherence modeling for global outlier
rejection,
PandRS(202), 2023, pp. 69-86.
Elsevier DOI
2308
WWW Link. Motion outliers are scattered, true motion matches are clustered.o
Outlier rejection, Motion coherence, Enhanced-context,
Motion descriptor, Deformable affine transformation
BibRef
Huang, Q.[Qian],
Guo, X.T.[Xiao-Tong],
Wang, Y.M.[Yi-Ming],
Sun, H.[Huashan],
Yang, L.J.[Li-Jie],
A survey of feature matching methods,
IET-IPR(18), No. 6, 2024, pp. 1385-1410.
DOI Link
2405
feature extraction, image processing, learning (artificial intelligence)
BibRef
Fogliato, R.[Riccardo],
Patil, P.[Pratik],
Perona, P.[Pietro],
Confidence Intervals for Error Rates in 1:1 Matching Tasks:
Critical Statistical Analysis and Recommendations,
IJCV(132), No. 11, November 2024, pp. 5346-5371.
Springer DOI
2411
Evaluation is important.
BibRef
Su, S.[Shuai],
Zhao, Z.K.[Zhong-Kai],
Fei, Y.X.[Yi-Xin],
Li, S.[Shuda],
Chen, Q.J.[Qi-Jun],
Fan, R.[Rui],
Sim2e: Benchmarking the Group Equivariant Capability of Correspondence
Matching Algorithms,
AVVision22(743-759).
Springer DOI
2304
BibRef
Bökman, G.[Georg],
Kahl, F.[Fredrik],
A case for using rotation invariant features in state of the art
feature matchers,
IMW22(5106-5115)
IEEE DOI
2210
Lighting, Pattern matching
BibRef
Mikhailova, A.[Anastasiia],
Santos-Victor, J.[José],
Coco, M.I.[Moreno I.],
Contribution of Low, Mid and High-Level Image Features of Indoor Scenes
in Predicting Human Similarity Judgements,
IbPRIA22(505-514).
Springer DOI
2205
BibRef
Bellavia, F.,
Colombo, C.,
Morelli, L.,
Remondino, F.,
Challenges in Image Matching for Cultural Heritage:
An Overview and Perspective,
FAPER22(210-222).
Springer DOI
2208
BibRef
Remondino, F.,
Menna, F.,
Morelli, L.,
Evaluating Hand-crafted and Learning-based Features for Photogrammetric
Applications,
ISPRS21(B2-2021: 549-556).
DOI Link
2201
BibRef
Braeger, S.[Sarah],
Foroosh, H.[Hassan],
Improving Image Matching with Varied Illumination,
ICPR21(5230-5237)
IEEE DOI
2105
Training, Geometry, Image matching, Lighting, Feature extraction,
Convolutional neural networks, Optimization
BibRef
Xia, Y.,
d'Angelo, P.,
Tian, J.,
Reinartz, P.,
Dense Matching Comparison Between Classical and Deep Learning Based
Algorithms for Remote Sensing Data,
ISPRS20(B2:521-525).
DOI Link
2012
BibRef
Becker, A.K.[Ann-Katrin],
Vornberger, O.[Oliver],
Evaluation of Feature Detectors, Descriptors and Match Filtering
Approaches for Historic Repeat Photography,
SCIA19(374-386).
Springer DOI
1906
BibRef
Wujanz, D.,
Barazzetti, L.,
Previtali, M.,
Scaioni, M.,
A Comparative Study Among Three Registration Algorithms:
Performance, Quality Assurance and Accuracy,
3DARCH19(779-786).
DOI Link
1904
BibRef
Du, W.L.,
Tian, X.L.,
An automatic image registration evaluation model on dense feature
points by pinhole camera simulation,
ICIP17(2259-2263)
IEEE DOI
1803
Cameras, Geometry, Image registration, Lenses, Nonlinear distortion,
pinhole camera simulation
BibRef
MacTavish, K.[Kirk],
Barfoot, T.D.[Timothy D.],
At all Costs: A Comparison of Robust Cost Functions for Camera
Correspondence Outliers,
CRV15(62-69)
IEEE DOI
1507
Cameras
BibRef
Watanabe, T.[Takanori],
Scott, C.[Clayton],
Spatial Confidence Regions for Quantifying and Visualizing Registration
Uncertainty,
WBIR12(120-130).
Springer DOI
1208
BibRef
Selby, B.P.[Boris Peter],
Sakas, G.[Georgios],
Groch, W.D.[Wolfgang-Dieter],
Stilla, U.[Uwe],
Absolute Orientation of Stereoscopic Cameras by Aligning Contours in
Pairs of Images and Reference Images,
PIA11(25-36).
Springer DOI
1110
BibRef
Selby, B.P.[Boris Peter],
Sakas, G.[Georgios],
Walter, S.[Stefan],
Groch, W.D.[Wolf-Dieter],
Stilla, U.[Uwe],
The Effects of Radiometry on the Accuracy of Intensity Based
Registration,
ICPR10(4528-4531).
IEEE DOI
1008
BibRef
Song, J.H.[Joo Hyun],
Christensen, G.E.[Gary E.],
Hawley, J.A.[Jeffrey A.],
Wei, Y.[Ying],
Kuhl, J.G.[Jon G.],
Evaluating Image Registration Using NIREP,
WBIR10(140-150).
Springer DOI
1007
NIREP: Non-rigid Image Registration Evaluation Program
WWW Link.
BibRef
Dawn, S.[Suma],
Saxena, V.[Vikas],
Sharma, B.[Bhudev],
Remote Sensing Image Registration Techniques: A Survey,
ICISP10(103-112).
Springer DOI
1006
Survey, Registration.
BibRef
Haeusler, R.,
Jiang, R.[Ruyi],
Morales, S.,
Klette, R.,
Options in using graphics for evaluating correspondence algorithms,
IVCNZ09(448-453).
IEEE DOI
0911
BibRef
Lewis, D.,
Bergeron, S.,
Kim, M.,
Doucette, P.,
Automated Registration Evaluation System (ARES),
AIPR07(51-56).
IEEE DOI
0710
BibRef
Oldridge, S.[Steve],
Miller, G.[Gregor],
Fels, S.S.[Sidney S.],
Mapping the Problem Space of Image Registration,
CRV11(309-315).
IEEE DOI
1105
BibRef
Earlier:
Automatic Classification of Image Registration Problems,
CVS09(215-224).
Springer DOI
0910
BibRef
And: A1, A3, A2:
Classification of image registration problems using support vector
machines,
WACV11(360-366).
IEEE DOI
1101
BibRef
Janssens, G.,
de Xivry, J.O.[J. Orban],
Aerts, H.J.W.L.,
Bosmans, G.,
Dekker, A.L.A.J.,
Macq, B.,
Improving physical behavior in image registration,
ICIP08(2952-2955).
IEEE DOI
0810
BibRef
Glatard, T.[Tristan],
Montagnat, J.[Johan],
Pennec, X.[Xavier],
A framework for evaluating the impact of compression on registration
algorithms without gold standard,
ICIP08(2912-2915).
IEEE DOI
0810
BibRef
Eastman, R.D.[Roger D.],
Le Moigne, J.[Jacqueline],
Netanyahu, N.S.[Nathan S.],
Research issues in image registration for remote sensing,
Fusion07(1-8).
IEEE DOI
0706
BibRef
Avants, B.B.[Brian B.],
Grossman, M.[Murray],
Gee, J.C.[James C.],
Symmetric Diffeomorphic Image Registration: Evaluating Automated
Labeling of Elderly and Neurodegenerative Cortex and Frontal Lobe,
WBIR06(50-57).
Springer DOI
0607
BibRef
Stolkin, R.[Rustam],
Greig, A.[Alistair],
Gilby, J.[John],
Measuring Complete Ground-Truth Data and Error Estimates for Real Video
Sequences, for Performance Evaluation of Tracking, Camera Pose and
Motion Estimation Algorithms,
BenCOS05(xx-yy).
PDF File.
0510
BibRef
And:
Video with Ground-Truth for Validation of Visual Registration, Tracking
and Navigation Algorithms,
CRV05(210-217).
IEEE DOI
0505
BibRef
Negahdaripour, S.,
Prados, R.,
Garcia, R.,
Planar Homography: Accuracy Analysis and Applications,
ICIP05(I: 1089-1092).
IEEE DOI
0512
Projective homography for image registration.
BibRef
Yang, Q.X.[Qing-Xiong],
Steele, R.M.[R. Matt],
Nistér, D.[David],
Jaynes, C.[Christopher],
Learning the Probability of Correspondences without Ground Truth,
ICCV05(II: 1140-1147).
IEEE DOI
0510
Based on geometric coherence.
BibRef
Owczarczyk, J.,
Welsh, W.J., and
Searby, S.,
Performance Analysis of Image Registration Techniques,
ICIPA89(10-13).
BibRef
8900
Ishikawa, T.,
Matthews, I.,
Baker, S.,
Efficient Image Alignment with Outlier Rejection,
CMU-RI-TR-02-27, October, 2002.
WWW Link.
0211
BibRef
Baker, S.[Simon],
Matthews, I.[Iain],
Equivalence and Efficiency of Image Alignment Algorithms,
CVPR01(I:1090-1097).
IEEE DOI
0110
The first estimates an additive incre-ment
to the parameters (the additive approach), the second
an incremental warp (the compositional approach).
Show that these are equivalent.
See also Improvements of the Inverse Compositional Algorithm for Parametric Motion Estimation.
BibRef
Marti, R.,
Zwiggelaar, R.,
Rubin, C.,
A Novel Similarity Measure to Evaluate Image Correspondence,
ICPR00(Vol III: 167-170).
IEEE DOI
0009
BibRef
Shekhar, C.[Chandra],
Boucand, C.[Cedric],
Empirical Evaluation of Two Criteria for
Pattern Comparison and Alignment,
UMD--TR4166, July 2000.
Pattern Alignment.
Phase Correlation.
WWW Link.
BibRef
0007
Shekhar, C.[Chandra],
Chellappa, R.[Rama],
Experimental Evaluation of Two Criteria for
Pattern Comparison and Alignment,
ICPR98(Vol I: 146-153).
IEEE DOI
9808
BibRef
Maeder, A.J.[Anthony J.],
Lossy Compression Effects on Digital Image Matching,
ICPR98(Vol II: 1626-1629).
IEEE DOI
9808
Registration
BibRef
Gramkow, C., and
Bro-Nielsen, M.,
Comparison of Three Filters in the Solution of the
Navier-Stokes Equation in Registration,
SCIA97(xx-yy)
HTML Version.
9705
BibRef
Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Image Registration -- The Match Technique, Match Measures, Cost Function .