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Estimating Sub-Pixel Shifts Directly from the Phase Difference,
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Earlier: A2, A1:
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ICIP04(III: 1915-1918).
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Earlier:
EM-based simultaneous registration, restoration, and interpolation of
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ICP with non-Euclidean distance metric and a robust estimation
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Fast image registration; Subpixel accuracy; Correlation coefficient function
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Cost function
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Earlier:
Two-step super-resolution technique using bounded total variation and
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ICIP11(1357-1360).
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Earlier:
Image registration under local illumination variations using robust
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ICIP10(917-920).
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Sub-pixel registration with variations due to shadows.
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Earlier:
Geometric Image Registration under Locally Variant Illuminations Using
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Earlier:
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ICIP09(201-204).
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Ali, H.K.,
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Registration of Modern and Historic Imagery for Timescape Creation,
CRV16(124-131)
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1612
cultural heritage
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Uss, M.L.,
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Lukin, V.V.,
Chehdi, K.,
Efficient Rotation-Scaling-Translation Parameter Estimation Based on
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GeoRS(54), No. 1, January 2016, pp. 197-212.
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feature extraction
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Ge, Y.,
Chen, Y.,
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Li, S.,
Hu, J.,
Enhanced Subpixel Mapping With Spatial Distribution Patterns of
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GeoRS(54), No. 4, April 2016, pp. 2356-2370.
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1604
Distribution functions
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He, D.[Da],
Zhong, Y.F.[Yan-Fei],
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He, D.[Da],
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Spectral-Spatial-Temporal MAP-Based Sub-Pixel Mapping for Land-Cover
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2003
Joint spectral-spatial-temporal (SST) model,
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Taberner, A.J.[Andrew J.],
Nash, M.P.[Martyn P.],
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Aydin, V.A.[Vildan Atalay],
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Li, X.G.[Xiang-Guo],
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1711
Computational modeling, Computed tomography, Correlation,
Estimation, Feature extraction, Robustness,
Lucas-Kanade (LK), phase correlation (PC),
subpixel accuracy, two-stage framework
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Almonacid-Caballer, J.[Jaime],
Pardo-Pascual, J.E.[Josep E.],
Ruiz, L.A.[Luis A.],
Evaluating Fourier Cross-Correlation Sub-Pixel Registration in
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RS(9), No. 10, 2017, pp. xx-yy.
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1711
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HajiRassouliha, A.[Amir],
Taberner, A.J.[Andrew J.],
Nash, M.P.[Martyn P.],
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Subpixel phase-based image registration using Savitzky-Golay
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CVIU(170), 2018, pp. 28-39.
Elsevier DOI
1806
Subpixel image registration, Deformation measurement,
Gradient-correlation, Phase-based methods, Savitzky-Golay differentiators
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Jakovljevic, R.[Radomir],
Beric, A.[Aleksandar],
van Dalen, E.[Edwin],
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Briand, T.[Thibaud],
Facciolo, G.[Gabriele],
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Improvements of the Inverse Compositional Algorithm for Parametric
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IPOL(8), 2018, pp. 435-464.
DOI Link
1901
Code, Registration.
See also Equivalence and Efficiency of Image Alignment Algorithms.
See also Pyramid Approach to Subpixel Registration Based on Intensity, A.
BibRef
Wan, X.,
Liu, J.G.,
Li, S.,
Yan, H.,
Phase Correlation Decomposition: The Impact of Illumination Variation
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GeoRS(57), No. 9, September 2019, pp. 6710-6725.
IEEE DOI
1909
Lighting, Image matching, Remote sensing, Image edge detection,
Correlation, Radiometry, Azimuth, Frequency domain analysis,
matrix decomposition
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Ye, Z.[Zhen],
Xu, Y.S.[Yu-Sheng],
Chen, H.[Hao],
Zhu, J.W.[Jing-Wei],
Tong, X.H.[Xiao-Hua],
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Area-Based Dense Image Matching with Subpixel Accuracy for Remote
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RS(12), No. 4, 2020, pp. xx-yy.
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2003
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Huang, Q.R.[Qi-Rui],
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Subpixel image registration regularised by L_1 and L_2 norms,
IET-IPR(14), No. 12, October 2020, pp. 2845-2854.
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2010
BibRef
Song, M.,
Zhong, Y.,
Ma, A.,
Xu, X.,
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Multiobjective Subpixel Mapping With Multiple Shifted Hyperspectral
Images,
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IEEE DOI
2011
Hyperspectral imaging, Graphical models, Distribution functions,
Optimization, Memetics, Spatial resolution, Hyperspectral imagery,
subpixel mapping (SPM)
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Wu, S.L.[Shu-Lei],
Zeng, W.K.[Wan-Kang],
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A sub-pixel image registration algorithm based on SURF and
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PRL(140), 2020, pp. 261-266.
Elsevier DOI
2012
Sub-pixel, Image registration,
Speeded up robust features (SURF),
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Li, Z.X.[Zhen-Xuan],
Shi, W.Z.[Wen-Zhong],
Zhu, Y.C.[Yong-Chao],
Zhang, H.[Hua],
Hao, M.[Ming],
Cai, L.P.[Li-Ping],
Subpixel Change Detection Based on Radial Basis Function with
Abundance Image Difference Measure for Remote Sensing Images,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link
2103
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Lee, W.J.[Woo-Ju],
Sim, D.G.[Dong-Gyu],
Oh, S.J.[Seoung-Jun],
A CNN-Based High-Accuracy Registration for Remote Sensing Images,
RS(13), No. 8, 2021, pp. xx-yy.
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2104
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Rasmy, L.[Laila],
Sebari, I.[Imane],
Ettarid, M.[Mohamed],
Automatic Sub-Pixel Co-Registration of Remote Sensing Images Using
Phase Correlation and Harris Detector,
RS(13), No. 12, 2021, pp. xx-yy.
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He, D.[Da],
Zhong, Y.F.[Yan-Fei],
Wang, X.Y.[Xin-Yu],
Zhang, L.P.[Liang-Pei],
Deep Convolutional Neural Network Framework for Subpixel Mapping,
GeoRS(59), No. 11, November 2021, pp. 9518-9539.
IEEE DOI
2111
Convolutional neural networks, Uncertainty,
Hyperspectral imaging, Kernel, Training, Superresolution,
super-resolution (SR) network
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Hikosaka, S.[Shuhei],
Tonooka, H.[Hideyuki],
Image-to-Image Subpixel Registration Based on Template Matching of
Road Network Extracted by Deep Learning,
RS(14), No. 21, 2022, pp. xx-yy.
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2212
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Kloepfer, D.A.[Dominik A.],
Henriques, J.F.[João F.],
Campbell, D.[Dylan],
SCENES: Subpixel Correspondence Estimation With Epipolar Supervision,
3DV24(21-30)
IEEE DOI
2408
Point cloud compression, Pose estimation, Cameras, Feature extraction,
Data models, Odometry, Drones, feature matching, domain shift
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Montagnon, T.[Tristan],
Hollingsworth, J.[James],
Pathier, E.[Erwan],
Marchandon, M.[Mathilde],
Mura, M.D.[Mauro Dalla],
Giffard-Roisin, S.[Sophie],
Sub-pixel Optical Satellite Image Registration for Ground Deformation
Using Deep Learning,
ICIP22(2716-2720)
IEEE DOI
2211
Integrated optics, Satellites, Optical computing, Optical imaging,
Adaptive optics, Volcanoes, Optical reflection, geodesy
BibRef
Nawaz, A.[Aakif],
Kuronen, T.[Toni],
Eerola, T.[Tuomas],
Lensu, L.[Lasse],
Kälviäinen, H.[Heikki],
On De-Interlacing and Sub-Pixel Precision Tracking,
IVCNZ21(1-6)
IEEE DOI
2201
De-interlacing, Hand Tracking, Key-point Annotation, Human Computer Interaction
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Chen, W.T.[Wei-Tao],
Wang, Z.B.[Zhi-Bin],
Li, H.[Hao],
Get better 1 pixel PCK: ladder scales correspondence flow networks
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LUAI21(742-751)
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2112
Earth, Deep learning, Image resolution, Correlation, Image matching,
Semantics, Transformers
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Schroeter, J.[Julien],
Tuytelaars, T.[Tinne],
Sidorov, K.[Kirill],
Marshall, D.[David],
Learning Multi-instance Sub-pixel Point Localization,
ACCV20(V:669-686).
Springer DOI
2103
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Hurtubise, N.,
Roy, S.,
Fast Discontinuity-Aware Subpixel Correspondence in Structured Light,
3DV20(1108-1116)
IEEE DOI
2102
Cameras, Decoding, Lighting, Pattern matching,
Image reconstruction, Interpolation,
Structured Light
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Bradley, H.,
Bailey, D.,
Moan, S.L.,
Gaenz, P.,
Simon, S.,
Sub-Pixel Registration Technique for X-ray Phase Contrast Imaging,
IVCNZ19(1-5)
IEEE DOI
2004
biological tissues, image filtering, image registration,
image resolution, interpolation, medical image processing, X-ray
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Xie, J.F.[Jun-Feng],
Mo, F.[Fan],
Yang, C.[Chao],
Li, P.[Pin],
Tian, S.Q.[Shi-Qiang],
A Novel Sub-pixel Matching Algorithm Based On Phase Correlation Using
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ISPRS16(B1: 253-257).
DOI Link
1610
BibRef
Cournet, M.,
Giros, A.,
Dumas, L.,
Delvit, J.M.,
Greslou, D.,
Languille, F.,
Blanchet, G.,
May, S.,
Michel, J.,
2d Sub-pixel Disparity Measurement Using Qpec / Medicis,
ISPRS16(B1: 291-298).
DOI Link
1610
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Wei, L.[Liu],
Hong, Z.[Zhu],
Han, G.J.[Gui-Jin],
NMS-based blurred image sub-pixel registration,
IASP11(98-101).
IEEE DOI
1112
BibRef
Jiao, W.[Weili],
Fang, Y.L.[Ya-Ling],
He, G.J.[Guo-Jin],
An Integrated Feature Based Method for Sub-Pixel Image Matching,
ISPRS08(B1: 1157 ff).
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0807
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Chen, H.[Hui],
Gradient-based Approach for Fine Registration of Panorama Images,
VMV04(89-96).
0411
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Hoge, W.S.,
Mitsouras, D.,
Rybicki, F.J.,
Mulkern, R.V.,
Westin, C.F.,
Registration of multi-dimensional image data via sub-pixel resolution
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ICIP03(II: 707-710).
IEEE DOI
0312
BibRef
Zhang, Z.H.[Zhao-Hui],
Prinet, V.,
A rough-to-fine satellite image registration method with sub-pixel
accuracy,
ICIP02(III: 385-388).
IEEE DOI
0210
BibRef
Shekarforoush, H.,
Berthod, M.,
Zerubia, J.B.,
Subpixel Image Registration by Estimating the Polyphase Decomposition
of the Cross Power Spectrum,
CVPR96(532-537).
IEEE DOI
BibRef
9600
Frischholz, R.W.[Robert W.],
Spinnler, K.P.[Klaus P.],
A Class of Algorithms for Real-Time Subpixel Registration,
ConferenceEuropto Conference, Munich, June 1993.
PS File. Subpixel registration.
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9306
Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Video Registration Techniques, Synchronizing, Synchronization .