12.1.3.2.3 Image Registration, Match Measures, Deformable Match, Affine Matching

Chapter Contents (Back)
Image Registration. Image Matching. Deformation Matching.

Yang, Z.W.[Zheng-Wei], Cohen, F.S.[Fernand S.],
Cross-Weighted Moments and Affine Invariants for Image Registration and Matching,
PAMI(21), No. 8, August 1999, pp. 804-814.
IEEE DOI BibRef 9908

Yang, Z.W.[Zheng-Wei], Cohen, F.S.[Fernand S.],
Image Registration and Object Recognition Using Affine Invariants and Convex Hulls,
IP(8), No. 7, July 1999, pp. 934-946.
IEEE DOI BibRef 9907

Domokos, C.[Csaba], Kato, Z.[Zoltan],
Parametric estimation of affine deformations of planar shapes,
PR(43), No. 3, March 2010, pp. 569-578.
Elsevier DOI 1001
BibRef
Earlier:
Binary Image Registration Using Covariant Gaussian Densities,
ICIAR08(xx-yy).
Springer DOI 0806
Image registration; Shape matching; Affine transformation BibRef

Domokos, C.[Csaba], Kato, Z.[Zoltan],
Affine Shape Alignment Using Covariant Gaussian Densities: A Direct Solution,
JMIV(51), No. 3, March 2015, pp. 385-399.
WWW Link. 1504
BibRef
And:
Simultaneous affine registration of multiple shapes,
ICPR12(9-12).
WWW Link. 1302
BibRef

Domokos, C.[Csaba], Nemeth, J.[Jozsef], Kato, Z.[Zoltan],
Nonlinear Shape Registration without Correspondences,
PAMI(34), No. 5, May 2012, pp. 943-958.
IEEE DOI 1204
BibRef
Earlier: A2, A1, A3:
Recovering planar homographies between 2D shapes,
ICCV09(2170-2176).
IEEE DOI 0909
BibRef
And: A2, A1, A3:
Nonlinear registration of binary shapes,
ICIP09(1101-1104).
IEEE DOI 0911
Recover transformation between 2 views. Known shape and its distorted view. No matching, system of nonlinear equations the give the parameters to align the view. BibRef

Németh, J.[József],
Recovering Projective Transformations between Binary Shapes,
ACIVS12(374-383).
Springer DOI 1209
BibRef

Tanács, A.[Attila], Domokos, C.[Csaba], Sladoje, N.[Nataša], Lindblad, J.[Joakim], Kato, Z.[Zoltan],
Recovering Affine Deformations of Fuzzy Shapes,
SCIA09(735-744).
Springer DOI 0906
BibRef

Domokos, C.[Csaba], Kato, Z.[Zoltan],
Realigning 2D and 3D Object Fragments without Correspondences,
PAMI(38), No. 1, January 2016, pp. 195-202.
IEEE DOI 1601
BibRef
Earlier:
Affine Puzzle: Realigning Deformed Object Fragments without Correspondences,
ECCV10(II: 777-790).
Springer DOI 1009
BibRef
Earlier:
Affine alignment of compound objects: A direct approach,
ICIP09(169-172).
IEEE DOI 0911
Integral equations BibRef

Kato, Z.[Zoltan],
A Unifying Framework for Correspondence-Less Linear Shape Alignment,
ICIAR12(I: 277-284).
Springer DOI 1206
BibRef

Souvenir, R.[Richard], Pless, R.[Robert],
Image distance functions for manifold learning,
IVC(25), No. 3, March 2007, pp. 365-373.
Elsevier DOI 0701
BibRef
Earlier:
Isomap and Nonparametric Models of Image Deformation,
Motion05(II: 195-200).
IEEE DOI 0502
What happens to mappings with image deformations. Isomap; Manifolds; Non-parametric registration BibRef

Peter, A.M.[Adrian M.], Rangarajan, A.[Anand],
Maximum Likelihood Wavelet Density Estimation With Applications to Image and Shape Matching,
IP(17), No. 4, April 2008, pp. 458-468.
IEEE DOI 0803
BibRef

Peter, A.M.[Adrian M.], Rangarajan, A.[Anand],
Information Geometry for Landmark Shape Analysis: Unifying Shape Representation and Deformation,
PAMI(31), No. 2, February 2009, pp. 337-350.
IEEE DOI 0901
See also On affine registration of planar point sets using complex numbers. BibRef

Peter, A.M.[Adrian M.], Rangarajan, A.[Anand],
An information geometry approach to shape density Minimum Description Length model selection,
ITCVPR11(1432-1439).
IEEE DOI 1201
BibRef

Kovalsky, S.Z.[Shahar Z.], Cohen, G.[Guy], Hagege, R.R.[Rami R.], Francos, J.M.[Joseph M.],
Decoupled Linear Estimation of Affine Geometric Deformations and Nonlinear Intensity Transformations of Images,
PAMI(32), No. 5, May 2010, pp. 940-946.
IEEE DOI 1003
Register 2 observations of an object, affine transformation of coordinate system, nonlinear intensity changes. BibRef

Bentolila, J.[Jacob], Francos, J.M.[Joseph M.],
Combined Affine Geometric Transformations and Spatially Dependent Radiometric Deformations: A Decoupled Linear Estimation Framework,
IP(20), No. 10, October 2011, pp. 2886-2895.
IEEE DOI 1110
BibRef

Bentolila, J.[Jacob], Francos, J.M.[Joseph M.],
Homography and Fundamental Matrix Estimation from Region Matches Using an Affine Error Metric,
JMIV(49), No. 2, June 2014, pp. 481-491.
Springer DOI 1405
BibRef
Earlier:
Affine consistency graphs for image representation and elastic matching,
ICIP12(2365-2368).
IEEE DOI 1302
BibRef

Bentolila, K.[Kobi], Francos, J.M.[Joseph M.],
Joint Affine and Illumination Estimation Using Scale Manipulation Features,
CIAP09(844-852).
Springer DOI 0909
BibRef

Hagege, R.R.[Rami R.], Francos, J.M.[Joseph M.],
Parametric Estimation of Affine Transformations: An Exact Linear Solution,
JMIV(37), No. 1, May 2010, pp. xx-yy.
Springer DOI 1003
BibRef

Farhan, E.[Erez], Hagege, R.R.[Rami R.],
Geometric Expansion for Local Feature Analysis and Matching,
SIIMS(8), No. 4, 2015, pp. 2771-2813.
DOI Link 1601
BibRef
Earlier:
Point matching via affine region expansion,
ICIP14(383-387)
IEEE DOI 1502
Cameras BibRef

Farhan, E.[Erez], Meir, E.[Elad], Hagege, R.R.[Rami R.],
Local Region Expansion: A Method for Analyzing and Refining Image Matches,
IPOL(7), 2017, pp. 386-398.
DOI Link 1801
Code, Matching. BibRef

Vigdor, B.[Boaz], Francos, J.M.[Joseph M.],
Anatomy-Based Registration of Isometrically Transformed Surfaces Using Geodesic Area Functionals,
ACIVS10(I: 93-104).
Springer DOI 1012
BibRef
And:
Joint Affine and Radiometric Registration Using Kernel Operators,
CAIP09(549-556).
Springer DOI 0909
BibRef

Liu, W.[Wei], Wang, Y.T.[Yong-Tian], Chen, J.[Jing], Guo, J.[Junwei], Lu, Y.[Yang],
A completely affine invariant image-matching method based on perspective projection,
MVA(23), No. 2, March 2012, pp. 231-242.
WWW Link. 1202
BibRef

Li, D.[Dong], Zhang, Y.H.[Yun-Hua],
A novel approach for the registration of weak affine images,
PRL(33), No. 12, 1 September 2012, pp. 1647-1655.
Elsevier DOI 1208
Fast least trimmed squares (Fast-LTS); Image registration; Parameter estimation; Random sample consensus (RANSAC); Weak affine transformation See also comment on A novel approach for the registration of weak affine images, A. BibRef

Sommer, S.[Stefan], Nielsen, M.[Mads], Darkner, S.[Sune], Pennec, X.[Xavier],
Higher-Order Momentum Distributions and Locally Affine LDDMM Registration,
SIIMS(6), No. 1, 2013, pp. 341-367.
DOI Link 1304
BibRef

Sommer, S.[Stefan], Nielsen, M.[Mads], Pennec, X.[Xavier],
Sparsity and scale: Compact representations of deformation for diffeomorphic registration,
MMBIA12(217-224).
IEEE DOI 1203
BibRef

Sommer, S.[Stefan], Lauze, F.[François], Nielsen, M.[Mads], Pennec, X.[Xavier],
Sparse Multi-Scale Diffeomorphic Registration: The Kernel Bundle Framework,
JMIV(46), No. 3, July 2013, pp. 292-308.
Springer DOI 1306
BibRef
Earlier:
Kernel Bundle EPDiff: Evolution Equations for Multi-scale Diffeomorphic Image Registration,
SSVM11(677-688).
Springer DOI 1201
BibRef

Rakęt, L.L.[Lars Lau], Sommer, S.[Stefan], Markussen, B.[Bo],
A nonlinear mixed-effects model for simultaneous smoothing and registration of functional data,
PRL(38), No. 1, 2014, pp. 1-7.
Elsevier DOI 1402
Data alignment BibRef

Lorenzi, M.[Marco], Pennec, X.[Xavier],
Geodesics, Parallel Transport and One-Parameter Subgroups for Diffeomorphic Image Registration,
IJCV(105), No. 2, November 2013, pp. 111-127.
WWW Link. 1309
BibRef

Lorenzi, M.[Marco], Pennec, X.[Xavier],
Efficient Parallel Transport of Deformations in Time Series of Images: From Schild's to Pole Ladder,
JMIV(50), No. 1-2, September 2014, pp. 5-17.
WWW Link. 1408
BibRef

Darkner, S.[Sune], Sporring, J.[Jon],
Locally Orderless Registration,
PAMI(35), No. 6, June 2013, pp. 1437-1450.
IEEE DOI 1305
Unify range of similarity measures. Discuss observed differences between Parzen Windows and Generalized Partial Volume. BibRef

Pai, A.[Akshay], Sommer, S.[Stefan], Sřrensen, L.[Lauge], Darkner, S.[Sune], Sporring, J.[Jon], Nielsen, M.[Mads],
Kernel Bundle Diffeomorphic Image Registration Using Stationary Velocity Fields and Wendland Basis Functions,
MedImg(35), No. 6, June 2016, pp. 1369-1380.
IEEE DOI 1606
BibRef
Earlier: A1, A2, A4, A3, A5, A6:
Stepwise Inverse Consistent Euler's Scheme for Diffeomorphic Image Registration,
WBIR14(223-230).
Springer DOI 1407
Computational modeling BibRef

Flusser, J.[Jan], Zitová, B.[Barbara],
A comment on 'A novel approach for the registration of weak affine images',
PRL(34), No. 12, 1 September 2013, pp. 1381-1385.
Elsevier DOI 1306
Image registration; Affine transform; Affine subgroups; Weak affine transform; Area-preserving affine transform See also novel approach for the registration of weak affine images, A. BibRef

Song, Z., Zhou, S., Guan, J.,
A Novel Image Registration Algorithm for Remote Sensing Under Affine Transformation,
GeoRS(52), No. 8, August 2014, pp. 4895-4912.
IEEE DOI 1403
Estimation BibRef

Sit, A., Kihara, D.,
Comparison of Image Patches Using Local Moment Invariants,
IP(23), No. 5, May 2014, pp. 2369-2379.
IEEE DOI 1405
Chebyshev approximation BibRef

Lou, Z.Y.[Zhong-Yu], Gevers, T.,
Image Alignment by Piecewise Planar Region Matching,
MultMed(16), No. 7, November 2014, pp. 2052-2061.
IEEE DOI 1411
affine transforms. Registration. BibRef

Lombaert, H.[Herve], Grady, L.[Leo], Pennec, X.[Xavier], Ayache, N.J.[Nicholas J.], Cheriet, F.[Farida],
Spectral Log-Demons: Diffeomorphic Image Registration with Very Large Deformations,
IJCV(107), No. 3, May 2014, pp. 254-271.
Springer DOI 1404
BibRef
Earlier:
Spectral Demons: Image Registration via Global Spectral Correspondence,
ECCV12(II: 30-44).
Springer DOI 1210
BibRef

Zhang, Q.A.[Qi-Ang], Wang, Y.[Yabin], Wang, L.[Long],
Registration of images with affine geometric distortion based on Maximally Stable Extremal Regions and phase congruency,
IVC(36), No. 1, 2015, pp. 23-39.
Elsevier DOI 1504
Image registration BibRef

Fedorov, V.[Vadim], Arias, P.[Pablo], Sadek, R.[Rida], Facciolo, G.[Gabriele], Ballester, C.[Coloma],
Linear Multiscale Analysis of Similarities between Images on Riemannian Manifolds: Practical Formula and Affine Covariant Metrics,
SIIMS(8), No. 3, 2015, pp. 2021-2069.
DOI Link 1511
BibRef

Swarna Priya, R.M., Prabu, S., Dharun, V.S.,
A Hybrid Particle Swarm Optimization with Affine Transformation Approach for Cloud Free Multi-Temporal Image Registration,
ELCVIA(14), No. 2, 2015, pp. xx-yy.
DOI Link 1601
BibRef

Desai, A.[Alok], Lee, D.J.[Dah-Jye], Ventura, D.[Dan],
An efficient feature descriptor based on synthetic basis functions and uniqueness matching strategy,
CVIU(142), No. 1, 2016, pp. 37-49.
Elsevier DOI 1512
BibRef
Earlier:
Matching Affine Features with the SYBA Feature Descriptor,
ISVC14(II: 448-457).
Springer DOI 1501
Feature detection. Binary feature descriptor called SYnthetic BAsis. Then remove non-affine features. BibRef

Raven, L.[Lindsey], Lee, D.J.[Dah-Jye], Desai, A.[Alok],
Robust synthetic basis feature descriptor,
ICIP17(1542-1546)
IEEE DOI 1803
Advance SYBA. Complexity theory, Detectors, Feature extraction, Histograms, Lighting, Robustness, Visualization, Feature Descriptor, Synthetic Basis Image BibRef

Desai, A.[Alok], Lee, D.J.[Dah-Jye],
Visual Odometry Drift Reduction Using SYBA Descriptor and Feature Transformation,
ITS(17), No. 7, July 2016, pp. 1839-1851.
IEEE DOI 1608
feature extraction BibRef

Rühaak, J.[Jan], König, L.[Lars], Tramnitzke, F.[Florian], Köstler, H.[Harald], Modersitzki, J.[Jan],
A matrix-free approach to efficient affine-linear image registration on CPU and GPU,
RealTimeIP(13), No. 1, March 2017, pp. 205-225.
Springer DOI 1704
BibRef

Ferrante, E.[Enzo], Paragios, N.[Nikos],
Graph-Based Slice-to-Volume Deformable Registration,
IJCV(126), No. 1, January 2018, pp. 36-58.
Springer DOI 1801
BibRef


Zhang, H., He, X.,
Deep Free-Form Deformation Network for Object-Mask Registration,
ICCV17(4261-4269)
IEEE DOI 1802
image registration, image segmentation, object detection, shape recognition, splines (mathematics), B, FFD network, Transforms BibRef

Chen, K.L.[Kang-Lin], Derksen, A.[Alexander], Heldmann, S.[Stefan], Hallmann, M.[Marc], Berkels, B.[Benjamin],
Deformable Image Registration with Automatic Non-Correspondence Detection,
SSVM15(360-371).
Springer DOI 1506
BibRef

Hassner, T., Wolf, L.B., Dershowitz, N.,
OCR-Free Transcript Alignment,
ICDAR13(1310-1314)
IEEE DOI 1312
Match image of the document with a synthesized image from the transcript. BibRef

Yi, Y.H.[Yao-Hua], Yuan, Y.[Yuan], Su, H.[Hai], Miao, M.J.[Ming-Jing],
Automatic Deformation Inspection Method for Digital Aerial Imagery Based on Statistical Characteristics,
ISSDQ13(117-120).
HTML Version. 1311
BibRef

Jorstad, A.[Anne], Jacobs, D.W.[David W.], Trouvé, A.[Alain],
A Fast Illumination and Deformation Insensitive Image Comparison Algorithm Using Wavelet-Based Geodesics,
ECCV12(IV: 71-84).
Springer DOI 1210
BibRef

Fleck, D.[Daniel], Duric, Z.[Zoran],
Predicting image matching using affine distortion models,
CVPR11(105-112).
IEEE DOI 1106
BibRef
Earlier:
Using Grid Based Feature Localization for Fast Image Matching,
ICIAR11(I: 221-231).
Springer DOI 1106
BibRef
Earlier:
Using Local Affine Invariants to Improve Image Matching,
ICPR10(1844-1847).
IEEE DOI 1008
BibRef
Earlier:
An Evaluation of Affine Invariant-Based Classification for Image Matching,
ISVC09(II: 417-429).
Springer DOI 0911
BibRef
And:
Affine Invariant-Based Classification of Inliers and Outliers for Image Matching,
ICIAR09(268-277).
Springer DOI 0907
Evaluate tentative classifications using affine transformation model. BibRef

Yang, C.M.[Christopher M.], Ravela, S.[Sai],
Deformation invariant image matching by spectrally controlled diffeomorphic alignment,
ICCV09(1303-1310).
IEEE DOI 0909
BibRef

Goh, A.[Alvina], Vidal, R.[René],
Segmenting Fiber Bundles in Diffusion Tensor Images,
ECCV08(III: 238-250).
Springer DOI 0810
BibRef
Earlier:
Algebraic Methods for Direct and Feature Based Registration of Diffusion Tensor Images,
ECCV06(III: 514-525).
Springer DOI 0608
Recover local deformation from tensor. BibRef

Zhang, J.[Jie], Rangarajan, A.,
Affine image registration using a new information metric,
CVPR04(I: 848-855).
IEEE DOI 0408
BibRef

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Image Registration -- Using Edges, Lines, Curves, and Corner and other Features .


Last update:Jun 23, 2018 at 14:58:54