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Enhanced, robust genetic algorithms for multiview range image
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ICP has problems with noise and requiring a good starting point.
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Multiview registration; Simulated annealing;
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Silva, L.[Luciano],
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Add explicit knowledget of what is being matched.
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Geometrical Regularization of Displacement Fields with Application to
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Mian, A.S.[Ajmal S.],
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0601
See also Keypoint Detection and Local Feature Matching for Textured 3D Face Recognition.
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Hu, Y.Q.[Yi-Qun],
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1208
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Earlier:
Sparse approximated nearest points for image set classification,
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IEEE DOI
1106
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Cordón, O.,
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0606
Evolutionary computation; Scatter search; Genetic algorithms;
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Santamaría, J.[José],
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Image registration; 3D modeling; Evolutionary image registration;
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0606
Genetic algorithms; CHC; Iterative closest point
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1107
Image registration; Evolutionary computation; Metaheuristics; Computer
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Tackling the coplanarity problem in 3D camera calibration by means of
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IEEE DOI
0910
BibRef
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0609
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0707
Surface registration; ICP algorithm; Point matching; Medical data
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0806
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Reyes, L.[Leo],
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Registration of 3D Points Using Geometric Algebra and Tensor Voting,
IJCV(75), No. 3, December 2007, pp. 351-369.
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0710
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Reyes-Lozano, L.[Leo],
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0804
3D model matching; Point correspondence; Relative angle distribution;
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Feng, J.[Jun],
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Chi-Square Goodness-of-Fit Test of 3D Point Correspondence for Model
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Smith, E.R.[Eric R.],
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0804
Range registration; Iterative closest point; Keypoint; Decision criteria;
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0806
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Improving Spatial Support for Objects via Multiple Segmentations,
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0904
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0905
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Bican, J.[Jakub],
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Earlier:
Cylindrical Phase Correlation Method,
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Springer DOI
0708
Registration using phase for rotation and translation.
Image registration; Phase correlation; Cylindrical transform; Rigid
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Hu, Z.Z.[Zhao-Zheng],
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1002
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Tsai, C.L.,
Li, C.Y.,
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The Edge-Driven Dual-Bootstrap Iterative Closest Point Algorithm for
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1003
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Yeo, B.T.T.,
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Du, S.Y.[Shao-Yi],
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1605
Iterative closest point
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1410
Local geometric structure
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IJIST(20), No. 3, September 2010, pp. 245-252.
DOI Link
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1011
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SCIA11(295-305).
Springer DOI
1105
BibRef
Hansen, M.F.[Mads Fogtmann],
Erbou, S.G.H.[Søren G.H.],
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Mosbech, T.H.[Thomas Hammershaimb],
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An efficient data-driven tissue deformation model,
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0910
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Li, W.L.[Wen-Long],
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1107
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1103
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Earlier:
Range Image Registration of Specular Objects under Complex Illumination,
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1005
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Earlier:
Robust range image registration using local distribution of albedo,
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Range image; Registration; Albedo; Region growing; Rigidity
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Range Image Registration Using a Photometric Metric under Unknown
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1307
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Earlier:
Illumination-free photometric metric for range image registration,
WACV12(97-104).
IEEE DOI
1203
Cost function
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1705
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Robust Simultaneous 3D Registration via Rank Minimization,
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Graph-Based Range Image Registration Combining Geometric and
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0706
BibRef
Okatani, I.S.,
Sugimoto, A.,
Range image registration preserving local structures of object surfaces,
ICPR04(II: 224-228).
IEEE DOI
0409
BibRef
And:
Registration of range images that preserves local surface structures
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3DPVT04(789-796).
IEEE DOI
0412
BibRef
Sara, R.,
Okatani, I.S.,
Sugimoto, A.,
Globally convergent range image registration by graph kernel algorithm,
3DIM05(377-384).
IEEE DOI
0508
BibRef
Kim, T.J.[Tae-Jung],
Jeong, J.H.[Jae-Hoon],
DEM matching for bias compensation of rigorous pushbroom sensor models,
PandRS(66), No. 5, September 2011, pp. 692-699.
Elsevier DOI
1110
DEM matching; Pushbroom image; Sensor modelling; Automation; SPOT
BibRef
Jeong, J.H.[Jae-Hoon],
Kim, T.J.[Tae-Jung],
Comparison of positioning accuracy of a rigorous sensor model and two
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Elsevier DOI
1511
Positioning accuracy
BibRef
Pieczonka, T.[Tino],
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Generation and evaluation of multitemporal digital terrain models of
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PandRS(66), No. 6, November 2011, pp. 927-940.
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1112
DTM; Change assessment; Khumbu Himalaya; Cartosat-1; Corona
BibRef
Sahillioglu, Y.[Yusuf],
Yemez, Y.[Yücel],
Minimum-Distortion Isometric Shape Correspondence Using EM Algorithm,
PAMI(34), No. 11, November 2012, pp. 2203-2215.
IEEE DOI
1209
BibRef
Earlier:
3D Shape correspondence by isometry-driven greedy optimization,
CVPR10(453-458).
IEEE DOI
1006
BibRef
Sahillioglu, Y.[Yusuf],
Recent advances in shape correspondence,
VC(36), No. 8, August 2020, pp. 1705-1721.
WWW Link.
2007
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Küpçü, E.[Emel],
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Diffusion-based isometric depth correspondence,
CVIU(189), 2019, pp. 102808.
Elsevier DOI
1911
BibRef
Earlier:
Reliable Isometric Point Correspondence from Depth,
MADO17(1266-1273)
IEEE DOI
1802
Isometric shape correspondence, Point cloud matching,
Depth correspondence, Diffusion distance, Symmetry detection.
Estimation, Laplace equations, Noise measurement, Reliability,
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IEEE DOI
1211
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Lowe, D.G.,
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Rohling, R.N.,
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Tissue Tracking and Registration for Image-Guided Surgery,
MedImg(31), No. 11, November 2012, pp. 2169-2182.
IEEE DOI
1211
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Budd, C.[Chris],
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1303
BibRef
Earlier: A2, A1, A3, Only:
Global temporal registration of multiple non-rigid surface sequences,
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1106
BibRef
Kim, H.S.[Han-Sung],
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Hybrid 3D feature description and matching for multi-modal data
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ICIP14(3493-3497)
IEEE DOI
1502
Detectors
BibRef
Kim, H.S.[Han-Sung],
Hilton, A.[Adrian],
Influence of Colour and Feature Geometry on Multi-modal 3D Point
Clouds Data Registration,
3DV14(202-209)
IEEE DOI
1503
BibRef
Earlier:
Evaluation of 3D Feature Descriptors for Multi-modal Data
Registration,
3DV13(119-126)
IEEE DOI
1311
data visualisation
BibRef
Collins, G.,
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Spatio-temporal fusion of multiple view video rate 3D surfaces,
3DIM05(142-149).
IEEE DOI
0508
BibRef
Rodolà, E.[Emanuele],
Albarelli, A.[Andrea],
Bergamasco, F.[Filippo],
Torsello, A.[Andrea],
A Scale Independent Selection Process for 3D Object Recognition in
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IJCV(102), No. 1-3, March 2013, pp. 129-145.
WWW Link.
1303
BibRef
Earlier: A2, A1, A3, A4:
A Non-cooperative Game for 3D Object Recognition in Cluttered Scenes,
3DIMPVT11(252-259).
IEEE DOI
1109
BibRef
Earlier: A2, A1, A4, Only:
Loosely Distinctive Features for Robust Surface Alignment,
ECCV10(V: 519-532).
Springer DOI
1009
BibRef
And: A2, A1, A4, Only:
A game-theoretic approach to fine surface registration without initial
motion estimation,
CVPR10(430-437).
IEEE DOI
1006
BibRef
Rodola, E.[Emanuele],
Torsello, A.[Andrea],
Harada, T.[Tatsuya],
Kuniyoshi, Y.[Yasuo],
Cremers, D.[Daniel],
Elastic Net Constraints for Shape Matching,
ICCV13(1169-1176)
IEEE DOI
1403
graph matching
BibRef
Cosmo, L.[Luca],
Albarelli, A.[Andrea],
Bergamasco, F.[Filippo],
Torsello, A.[Andrea],
Rodolà, E.[Emanuele],
Cremers, D.[Daniel],
A game-theoretical approach for joint matching of multiple feature
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ICPR16(3715-3720)
IEEE DOI
1705
Feature extraction, Game theory, Games, Pattern matching, Sociology,
Statistics, Three-dimensional, displays
BibRef
Pistellato, M.[Mara],
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Robust joint selection of camera orientations and feature projections
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ICPR16(3703-3708)
IEEE DOI
1705
3D reconstruction from multiple views.
Cameras, Labeling, Reliability, Sociology, Statistics,
Transforms
BibRef
Rodola, E.[Emanuele],
Harada, T.[Tatsuya],
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Cremers, D.[Daniel],
Efficient Shape Matching using Vector Extrapolation,
BMVC13(xx-yy).
DOI Link
1402
BibRef
Melzi, S.[Simone],
Spezialetti, R.[Riccardo],
Tombari, F.[Federico],
Bronstein, M.M.[Michael M.],
di Stefano, L.[Luigi],
Rodola, E.[Emanuele],
GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching,
CVPR19(4624-4633).
IEEE DOI
2002
BibRef
Rodola, E.[Emanuele],
Bronstein, A.M.[Alex M.],
Albarelli, A.[Andrea],
Bergamasco, F.[Filippo],
Torsello, A.[Andrea],
A game-theoretic approach to deformable shape matching,
CVPR12(182-189).
IEEE DOI
1208
BibRef
Albarelli, A.[Andrea],
Rodolà, E.[Emanuele],
Torsello, A.[Andrea],
Fast and accurate surface alignment through an isometry-enforcing
game,
PR(48), No. 7, 2015, pp. 2209-2226.
Elsevier DOI
1504
BibRef
Earlier: A3, A2, A1:
Sampling Relevant Points for Surface Registration,
3DIMPVT11(290-295).
IEEE DOI
1109
BibRef
And: A3, A2, A1:
Multiview registration via graph diffusion of dual quaternions,
CVPR11(2441-2448).
IEEE DOI
1106
BibRef
Earlier: A2, A1, A3:
A Game-Theoretic Approach to Robust Selection of Multi-view Point
Correspondence,
ICPR10(57-60).
IEEE DOI
1008
Surface registration
See also Robust Game-Theoretic Inlier Selection for Bundle Adjustment.
BibRef
Bulow, H.,
Birk, A.,
Spectral 6DOF Registration of Noisy 3D Range Data with Partial Overlap,
PAMI(35), No. 4, April 2013, pp. 954-969.
IEEE DOI
1303
Decouple rotation and translation.
BibRef
Tajima, Y.[Yuichiro],
Fudano, K.[Kinya],
Ito, K.[Koichi],
Aoki, T.[Takafumi],
Fast and Robust 3D Correspondence Matching and Its Application to
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IEICE(E96-D), No. 4, April 2013, pp. 826-835.
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1304
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Lague, D.[Dimitri],
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Accurate 3D comparison of complex topography with terrestrial laser
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PandRS(82), No. 1, August 2013, pp. 10-26.
Elsevier DOI
1306
Terrestrial laser scanner; Point cloud; 3D change detection;
Surface roughness; Self-affinity; Geomorphology
BibRef
Lombaert, H.[Herve],
Grady, L.[Leo],
Polimeni, J.R.[Jonathan R.],
Cheriet, F.[Farida],
FOCUSR: Feature Oriented Correspondence Using Spectral
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1307
Brain surfaces.
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Cho, J.C.[Jung-Chan],
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1309
Shape alignment
BibRef
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ITS(14), No. 3, 2013, pp. 1109-1118.
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1309
3-D surface registration
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Garcia, F.[Frederic],
Aouada, D.[Djamila],
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Real-time depth enhancement by fusion for RGB-D cameras,
IET-CV(7), No. 5, October 2013, pp. 1-11.
DOI Link
1402
BibRef
Earlier: A1, A2, A4, A5, Only:
Spatio-temporal ToF data enhancement by fusion,
ICIP12(981-984).
IEEE DOI
1302
cameras
BibRef
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Ottersten, B.[Bjorn],
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Pixel weighted average strategy for depth sensor data fusion,
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IEEE DOI
1009
BibRef
Liu, Y.H.[Yong-Huai],
Martin, R.R.[Ralph R.],
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1403
Retinex
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Scan integration as a labelling problem,
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Elsevier DOI
1405
BibRef
Earlier:
MRF Labeling for Multi-view Range Image Integration,
ACCV10(II: 27-40).
Springer DOI
1011
BibRef
Earlier:
Markov Random Field-Based Clustering for the Integration of Multi-view
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ISVC10(I: 644-653).
Springer DOI
1011
Integration
BibRef
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Accurate integration of multi-view range images using k-means
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PR(41), No. 1, January 2008, pp. 152-175.
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0710
3D modelling; Registered range images; k-Means clustering;
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1609
Feature extraction
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Geometric Registration of High-Genus Surfaces,
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Global registration of large collections of range images with an
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1406
Global registration
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1201
BibRef
Earlier: A1, A2:
An Enhanced 'Optimization-on-a-Manifold' Framework for Global
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1109
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Altantsetseg, E.[Enkhbayar],
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1411
graphics processing units
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1411
Probabilistic 3-d modeling
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Terzakis, G.[George],
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1412
Multiple model fitting
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BibRef
Potesil, V.[Vaclav],
Kadir, T.[Timor],
Platsch, G.[Günther], Sir
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Personalized Graphical Models for Anatomical Landmark Localization in
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Springer DOI
1502
BibRef
Earlier:
Improved Landmark Localization in Medical Images Using Dense Matching
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BMVC10(xx-yy).
HTML Version.
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Qu, L.[Lei],
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3-D Registration of Biological Images and Models: Registration of
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1502
bioinformatics
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Hu, L.J.[Lin-Jia],
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JVCIR(30), No. 1, 2015, pp. 343-349.
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1507
3D Object local descriptor
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Shtern, A.[Alon],
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Elsevier DOI
1509
Correspondence
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Shtern, A.[Alon],
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Evangelidis, G.D.[Georgios D.],
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Horaud, R.[Radu],
Fusion of Range and Stereo Data for High-Resolution Scene-Modeling,
PAMI(37), No. 11, November 2015, pp. 2178-2192.
IEEE DOI
1511
correlation theory
BibRef
Sharma, A.[Avinash],
Horaud, R.[Radu],
Cech, J.[Jan],
Boyer, E.[Edmond],
Topologically-robust 3D shape matching based on diffusion geometry and
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IEEE DOI
1106
Dense matching when the topology changes.
See also Scene flow estimation by growing correspondence seeds.
BibRef
Hansard, M.[Miles],
Horaud, R.[Radu],
Amat, M.[Michel],
Lee, S.K.[Seung-Kyu],
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1106
BibRef
Hachani, M.,
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Puech, W.,
Global three-dimensional-mesh indexing based on structural analysis
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IET-CV(9), No. 6, 2015, pp. 926-936.
DOI Link
1512
BibRef
Earlier:
3D non-rigid pattern recognition based on structural analysis,
ICIP14(3131-3135)
IEEE DOI
1502
estimation theory.
Reeb graph representation as local shape descriptor.
BibRef
Cirujeda, P.[Pol],
Cid, Y.D.[Yashin Dicente],
Mateo, X.[Xavier],
Binefa, X.[Xavier],
A 3D Scene Registration Method via Covariance Descriptors and an
Evolutionary Stable Strategy Game Theory Solver,
IJCV(115), No. 3, December 2015, pp. 306-329.
Springer DOI
1512
BibRef
Takebe, H.[Hiroaki],
Uehara, Y.[Yusuke],
Uchida, S.[Seiichi],
Efficient Anchor Graph Hashing with Data-Dependent Anchor Selection,
IEICE(E98-D), No. 11, November 2015, pp. 2030-2033.
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1512
Graph hashing for nearest neighbor search.
BibRef
Grim, A.[Anna],
O'Connor, T.[Timothy],
Olver, P.J.[Peter J.],
Shakiban, C.[Chehrzad],
Slechta, R.[Ryan],
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Automatic Reassembly of Three-Dimensional Jigsaw Puzzles,
IJIG(16), No. 02, 2016, pp. 1650009.
DOI Link
1605
BibRef
Wang, R.[Rong],
Geng, Z.[Zheng],
Cao, X.[Xuan],
Pei, R.J.[Ren-Jing],
Meng, X.B.[Xiang-Bing],
A game-theoretic approach to sub-vertex registration,
PRL(80), No. 1, 2016, pp. 98-106.
Elsevier DOI
1609
Rigid surface registration
BibRef
Fan, J.F.[Jing-Fan],
Yang, J.[Jian],
Ai, D.[Danni],
Xia, L.[Likun],
Zhao, Y.T.[Yi-Tian],
Gao, X.[Xing],
Wang, Y.T.[Yong-Tian],
Convex hull indexed Gaussian mixture model (CH-GMM) for 3D point set
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PR(59), No. 1, 2016, pp. 126-141.
Elsevier DOI
1609
Convex hull
BibRef
Snape, P.[Patrick],
Pszczolkowski, S.[Stefan],
Zafeiriou, S.P.[Stefanos P.],
Tzimiropoulos, G.[Georgios],
Ledig, C.[Christian],
Rueckert, D.[Daniel],
A robust similarity measure for volumetric image registration with
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IVC(52), No. 1, 2016, pp. 97-113.
Elsevier DOI
1609
Image registration
BibRef
Parra Bustos, A.J.[Alvaro Joaquin],
Chin, T.J.[Tat-Jun],
Eriksson, A.P.,
Li, H.,
Suter, D.[David],
Fast Rotation Search with Stereographic Projections for 3D
Registration,
PAMI(38), No. 11, November 2016, pp. 2227-2240.
IEEE DOI
1610
BibRef
Earlier: A1, A2, A5, Only:
CVPR14(3930-3937)
IEEE DOI
1409
Iterative closest point algorithm.
3D registration; Rotation search; branch-and-bound
BibRef
Parra Bustos, A.J.[Alvaro Joaquin],
Chin, T.J.[Tat-Jun],
Guaranteed Outlier Removal for Point Cloud Registration with
Correspondences,
PAMI(40), No. 12, December 2018, pp. 2868-2882.
IEEE DOI
1811
BibRef
Earlier:
Guaranteed Outlier Removal for Rotation Search,
ICCV15(2165-2173)
IEEE DOI
1602
Cloud computing, Runtime, Linear programming, Estimation,
guaranteed outlier removal.
Computational efficiency
BibRef
Yang, J.L.[Jiao-Long],
Li, H.D.[Hong-Dong],
Campbell, D.,
Jia, Y.D.[Yun-De],
Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration,
PAMI(38), No. 11, November 2016, pp. 2241-2254.
IEEE DOI
1610
BibRef
Earlier: A1, A2, A4, Only:
Go-ICP: Solving 3D Registration Efficiently and Globally Optimally,
ICCV13(1457-1464)
IEEE DOI
1403
Convergence.
3D registration; ICP; shape matching
BibRef
Chen, Z.Y.[Zong-Yao],
Lin, W.C.[Wei-Chao],
Tsai, C.F.[Chih-Fong],
Ke, S.W.[Shih-Wen],
3D model retrieval by sample based alignment,
JVCIR(40, Part B), No. 1, 2016, pp. 721-731.
Elsevier DOI
1610
Multimedia
BibRef
Deng, T.[Teng],
Cai, J.F.[Jian-Fei],
Cham, T.J.[Tat-Jen],
Zheng, J.M.[Jian-Min],
Multiple consumer-grade depth camera registration using everyday
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IVC(62), No. 1, 2017, pp. 1-7.
Elsevier DOI
1706
Depth, camera
BibRef
Maehara, S.[Seiichi],
Ikeshiro, K.[Kazuo],
Imamura, H.[Hiroki],
A 3-Dimensional Object Recognition Method Using Relationship of
Distances and Angles in Feature Points,
IJIG(17), No. 04, 2017, pp. 1750019.
DOI Link
1711
For human support robot.
BibRef
Xing, C.[Chen],
Qiu, P.H.[Pei-Hua],
Intensity-Based Image Registration by Nonparametric Local Smoothing,
PAMI(33), No. 10, October 2011, pp. 2081-2092.
IEEE DOI
1109
Mapping for each pixel estimated locally, given a few constraints.
Allows for discontinuous transforms (occlusions, etc.)
BibRef
Song, H.J.[Hua-Jun],
Qiu, P.H.[Pei-Hua],
Intensity-based 3D local image registration,
PRL(94), No. 1, 2017, pp. 15-21.
Elsevier DOI
1708
Degenerate, functions
BibRef
Song, H.J.[Hua-Jun],
Qiu, P.H.[Pei-Hua],
A parametric intensity-based 3D image registration method for magnetic
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SIViP(11), No. 3, March 2017, pp. 455-462.
WWW Link.
1702
BibRef
Song, H.J.[Hua-Jun],
Qiu, P.H.[Pei-Hua],
Three-dimensional image registration using distributed parallel
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IET-IPR(12), No. 10, October 2018, pp. 1713-1720.
DOI Link
1809
BibRef
Zhang, J.[Jie],
Sun, J.H.[Jun-Hua],
Instance-based object recognition in 3D point clouds using
discriminative shape primitives,
MVA(29), No. 2, February 2018, pp. 285-297.
Springer DOI
1802
BibRef
Wu, Y.H.[Yu-Hang],
Shah, S.K.[Shishir K.],
Kakadiaris, I.A.[Ioannis A.],
Annotated face model-based alignment: a robust landmark-free pose
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MVA(29), No. 3, April 2018, pp. 375-391.
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1804
BibRef
Saval-Calvo, M.[Marcelo],
Azorin-Lopez, J.[Jorge],
Fuster-Guillo, A.[Andres],
Villena-Martinez, V.[Victor],
Fisher, R.B.[Robert B.],
3D non-rigid registration using color: Color Coherent Point Drift,
CVIU(169), 2018, pp. 119-135.
Elsevier DOI
1804
3D non-rigid registration, 3D deformable registration, CCPD
BibRef
Grogan, M.[Mairéad],
Dahyot, R.[Rozenn],
Shape registration with directional data,
PR(79), 2018, pp. 452-466.
Elsevier DOI
1804
Shape registration, Directional information, Von Mises-Fisher, registration
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Bernard, F.[Florian],
Thunberg, J.[Johan],
Goncalves, J.[Jorge],
Theobalt, C.[Christian],
Synchronisation of partial multi-matchings via non-negative
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PR(92), 2019, pp. 146-155.
Elsevier DOI
1905
Partial permutation synchronisation, Multi-matching,
Spectral decomposition, Non-negative matrix factorisation
BibRef
Bernard, F.[Florian],
Thunberg, J.[Johan],
Gemmar, P.[Peter],
Hertel, F.[Frank],
Husch, A.[Andreas],
Goncalves, J.[Jorge],
A solution for multi-alignment by transformation synchronisation,
CVPR15(2161-2169)
IEEE DOI
1510
BibRef
Liu, J.P.[Jie-Peng],
Li, D.S.[Dong-Sheng],
Feng, L.[Liang],
Liu, P.K.[Peng-Kun],
Wu, W.B.[Wen-Bo],
Towards Automatic Segmentation and Recognition of Multiple Precast
Concrete Elements in Outdoor Laser Scan Data,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link
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BibRef
Guan, L.[Liyi],
Hu, J.[Jun],
Pan, H.B.[Hong-Bo],
Wu, W.Q.[Wen-Qing],
Sun, Q.[Qian],
Chen, S.Y.[Si-Yang],
Fan, H.S.[Hai-Sheng],
Fusion of public DEMs based on sparse representation and adaptive
regularization variation model,
PandRS(169), 2020, pp. 125-134.
Elsevier DOI
2011
Multi-source DEM fusion, Sparse representation prior,
Adaptive regularization variation model, Global DEM datasets
BibRef
Yang, J.Q.[Jia-Qi],
Xian, K.[Ke],
Wang, P.[Peng],
Zhang, Y.N.[Yan-Ning],
A Performance Evaluation of Correspondence Grouping Methods for 3D
Rigid Data Matching,
PAMI(43), No. 6, June 2021, pp. 1859-1874.
IEEE DOI
2106
Shape, Measurement, Detectors,
Feature extraction, Object recognition, Clutter, shape matching
BibRef
Yang, J.Q.[Jia-Qi],
Zhang, X.[Xiyu],
Fan, S.C.[Shi-Chao],
Ren, C.L.[Chun-Lin],
Zhang, Y.N.[Yan-Ning],
Mutual Voting for Ranking 3D Correspondences,
PAMI(46), No. 6, June 2024, pp. 4041-4057.
IEEE DOI
2405
Point cloud compression, Task analysis, Object recognition,
Pipelines, Refining, Learning systems, 3D point clouds,
point cloud registration
BibRef
Sahloul, H.[Hamdi],
Shirafuji, S.[Shouhei],
Ota, J.[Jun],
An Accurate and Efficient Voting Scheme for a Maximally All-Inlier 3D
Correspondence Set,
PAMI(43), No. 7, July 2021, pp. 2287-2298.
IEEE DOI
2106
Rigidity, Estimation, Transforms,
Computational modeling, Measurement, Robustness, Outlier rejection,
single-point superimposition transforms
BibRef
Yang, J.Q.[Jia-Qi],
Huang, Z.Q.[Zhi-Qiang],
Quan, S.[Siwen],
Zhang, Q.[Qian],
Zhang, Y.N.[Yan-Ning],
Cao, Z.G.[Zhi-Guo],
Toward Efficient and Robust Metrics for RANSAC Hypotheses and 3D
Rigid Registration,
CirSysVideo(32), No. 2, February 2022, pp. 893-906.
IEEE DOI
2202
Measurement, Robustness, Feature extraction, Pose estimation,
Pipelines, Standards, 3D point cloud, 3D rigid registration,
hypothesis evaluation
BibRef
Li, J.Y.[Jia-Yuan],
Hu, Q.W.[Qing-Wu],
Zhang, Y.J.[Yong-Jun],
Ai, M.Y.[Ming-Yao],
Robust symmetric iterative closest point,
PandRS(185), 2022, pp. 219-231.
Elsevier DOI
2202
Point cloud registration,
Simultaneous Localization and Mapping (SLAM), 3D alignment
BibRef
Du, Z.H.[Zhi-Hua],
Zuo, Y.[Yong],
Qiu, J.F.[Ji-Fang],
Li, X.[Xiang],
Li, Y.[Yan],
Guo, H.X.[Hong-Xiang],
Hong, X.B.[Xia-Bin],
Wu, J.[Jian],
MDCS with fully encoding the information of local shape description
for 3D Rigid Data matching,
IVC(121), 2022, pp. 104421.
Elsevier DOI
2205
Mirror instance segmentation.
Local feature description, 3D rigid data matching, Multi-view,
Local reference frame (LRF)
BibRef
Zhang, J.[Juyong],
Yao, Y.X.[Yu-Xin],
Deng, B.[Bailin],
Fast and Robust Iterative Closest Point,
PAMI(44), No. 7, July 2022, pp. 3450-3466.
IEEE DOI
2206
Convergence, Acceleration, Measurement, Optimization, Robustness,
Iterative closest point algorithm, Rigid registration,
anderson acceleration
BibRef
Zhang, R.[Rui],
Li, G.Y.[Guang-Yun],
Wiedemann, W.[Wolfgang],
Holst, C.[Christoph],
KdO-Net: Towards Improving the Efficiency of Deep Convolutional
Neural Networks Applied in the 3D Pairwise Point Feature Matching,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Han, H.[Huan],
Wang, Z.P.[Zheng-Ping],
Zhang, Y.M.[Yi-Min],
Multiscale Approach for Three-Dimensional Conformal Image
Registration,
SIIMS(15), No. 3, 2022, pp. 1431-1468.
DOI Link
2209
BibRef
Cheraghian, A.[Ali],
Rahman, S.[Shafin],
Chowdhury, T.F.[Townim F.],
Campbell, D.[Dylan],
Petersson, L.[Lars],
Zero-Shot Learning on 3D Point Cloud Objects and Beyond,
IJCV(130), No. 10, October 2022, pp. 2364-2384.
Springer DOI
2209
BibRef
Earlier: A1, A2, A4, A5, Only:
Transductive Zero-Shot Learning for 3D Point Cloud Classification,
WACV20(912-922)
IEEE DOI
2006
BibRef
Earlier: A1, A2, A4, Only:
Zero-shot Learning of 3D Point Cloud Objects,
MVA19(1-6)
DOI Link
1911
BibRef
And: A1, A4, Only:
3DCapsule: Extending the Capsule Architecture to Classify 3D Point
Clouds,
WACV19(1194-1202)
IEEE DOI
1904
Semantics, Task analysis, Visualization, Solid modeling, Training.
cameras, image classification, image representation,
learning (artificial intelligence), object recognition, Synchronization.
feature extraction, pattern classification.
BibRef
Chowdhury, T.F.[Townim F.],
Cheraghian, A.[Ali],
Ramasinghe, S.[Sameera],
Ahmadi, S.[Sahar],
Saberi, M.[Morteza],
Rahman, S.[Shafin],
Few-Shot Class-Incremental Learning for 3D Point Cloud Objects,
ECCV22(XX:204-220).
Springer DOI
2211
BibRef
Cheraghian, A.[Ali],
Rahman, S.[Shafin],
Fang, P.F.[Peng-Fei],
Roy, S.K.[Soumava Kumar],
Petersson, L.[Lars],
Harandi, M.[Mehrtash],
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental
Learning,
CVPR21(2534-2543)
IEEE DOI
2111
Training, Visualization, Semantics, Training data,
Power capacitors
BibRef
Maninis, K.K.[Kevis-Kokitsi],
Popov, S.[Stefan],
Nießner, M.[Matthias],
Ferrari, V.[Vittorio],
Vid2CAD: CAD Model Alignment Using Multi-View Constraints from Videos,
PAMI(45), No. 1, January 2023, pp. 1320-1327.
IEEE DOI
2212
Solid modeling, Image reconstruction, Shape, Cameras,
Point cloud compression, Task analysis, CAD model alignment,
video understanding
BibRef
Mateus, A.[André],
Ranade, S.[Siddhant],
Ramalingam, S.[Srikumar],
Miraldo, P.[Pedro],
Fast and Accurate 3D Registration from Line Intersection Constraints,
IJCV(131), No. 8, August 2023, pp. 2044-2069.
Springer DOI
2307
BibRef
Kolpakov, A.[Alexander],
Werman, M.[Michael],
An Approach to Robust ICP Initialization,
PAMI(45), No. 10, October 2023, pp. 12685-12691.
IEEE DOI
2310
ICP initialization.
BibRef
Sun, J.Y.[Jing-Yu],
Gong, Y.D.[Ya-Dong],
Zhao, J.[Jibin],
Zhang, H.[Huan],
Jin, L.[Liya],
Matching based on variance minimization of component distances using
edges of free-form surfaces,
PR(143), 2023, pp. 109729.
Elsevier DOI
2310
Normal and tangential distance, Variance minimization,
Edge of point cloud, Allowance distribution, Fine registration
BibRef
Ji, B.N.[Bao-Ning],
Zhang, J.[Jie],
Li, Y.[Yuan],
Tang, W.B.[Wen-Bin],
Structure correspondence searching of CAD model using local
feature-based description and indexing,
PR(148), 2024, pp. 110126.
Elsevier DOI
2402
CAD model, Structure correspondence, Model segmentation,
Local feature, Indexing mechanism
BibRef
Tyszkiewicz, M.J.[Michal J.],
Maninis, K.K.[Kevis-Kokitsi],
Popov, S.[Stefan],
Ferrari, V.[Vittorio],
RayTran: 3D Pose Estimation and Shape Reconstruction of Multiple
Objects from Videos with Ray-Traced Transformers,
ECCV22(X:211-228).
Springer DOI
2211
BibRef
Peng, L.Z.[Liang-Zu],
Tsakiris, M.C.[Manolis C.],
Vidal, R.[René],
ARCS: Accurate Rotation and Correspondence Search,
CVPR22(11143-11153)
IEEE DOI
2210
WWW Link. Statistical analysis, Navigation, Quaternions,
Robot vision systems, Pose estimation, Optimization methods,
Statistical methods
BibRef
Hong, S.W.[Sungh-Wan],
Kim, S.[Seungryong],
Deep Matching Prior: Test-Time Optimization for Dense Correspondence,
ICCV21(9887-9897)
IEEE DOI
2203
Learning systems, Semantics, Training data, Benchmark testing,
Data models, Task analysis, Representation learning,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Bhatia, H.[Harshil],
Tretschk, E.[Edith],
Lähner, Z.[Zorah],
Benkner, M.S.[Marcel Seelbach],
Moeller, M.[Michael],
Theobalt, C.[Christian],
Golyanik, V.[Vladislav],
CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple
Shapes,
CVPR23(1296-1305)
IEEE DOI
2309
BibRef
Farina, M.[Matteo],
Magri, L.[Luca],
Menapace, W.[Willi],
Ricci, E.[Elisa],
Golyanik, V.[Vladislav],
Arrigoni, F.[Federica],
Quantum Multi-Model Fitting,
CVPR23(13640-13649)
IEEE DOI
2309
BibRef
Benkner, M.S.[Marcel Seelbach],
Lähner, Z.[Zorah],
Golyanik, V.[Vladislav],
Wunderlich, C.[Christof],
Theobalt, C.[Christian],
Moeller, M.[Michael],
Q-Match: Iterative Shape Matching via Quantum Annealing,
ICCV21(7566-7576)
IEEE DOI
2203
Annealing, Shape, Quantum state, Quantum annealing, Size measurement,
Search problems, Segmentation, grouping and shape,
Optimization and learning methods
BibRef
Bianconi, F.,
Filippucci, M.,
Pelliccia, G.,
Wood and Generative Algorithms for the Comparison Between Models And
Reality,
ISPRS21(B4-2021: 409-415).
DOI Link
2201
BibRef
Smith, A.K.,
Dragicevic, S.,
Assessing the Similarities of 3d Simulation Model Outcomes,
ISPRS21(B4-2021: 339-344).
DOI Link
2201
Compare 3D model results.
BibRef
Liu, Y.[Yuan],
Liu, L.J.[Ling-Jie],
Lin, C.[Cheng],
Dong, Z.[Zhen],
Wang, W.P.[Wen-Ping],
Learnable Motion Coherence for Correspondence Pruning,
CVPR21(3236-3245)
IEEE DOI
2111
Use motion of objects to evaluate correspondences.
Laplace equations, Closed-form solutions,
Pose estimation, Fitting, Dynamics, Neural networks
BibRef
Rai, N.[Nishant],
Liaudanskas, A.[Aidas],
Rao, S.[Srinivas],
Cayon, R.O.[Rodrigo Ortiz],
Munaro, M.[Matteo],
Holzer, S.[Stefan],
Weak Multi-View Supervision for Surface Mapping Estimation,
LLID21(2753-2762)
IEEE DOI
2109
3-D models from different views.
Deformable models, Surface reconstruction, Airplanes, Annotations,
Rendering (computer graphics), Trajectory, Automobiles
BibRef
Haugo, S.[Simen],
Stahl, A.[Annette],
Iterative Closest Point with Minimal Free Space Constraints,
ISVC20(II:82-95).
Springer DOI
2103
BibRef
Haugo, S.[Simen],
Stahl, A.[Annette],
Minimal Free Space Constraints for Implicit Distance Bounds,
ISVC20(II:96-109).
Springer DOI
2103
BibRef
Xu, L.[Lin],
Sun, H.[Han],
Liu, Y.[Yuai],
Learning With Batch-Wise Optimal Transport Loss for 3D Shape
Recognition,
CVPR19(3328-3337).
IEEE DOI
2002
BibRef
Avetisyan, A.[Armen],
Dahnert, M.[Manuel],
Dai, A.[Angela],
Savva, M.[Manolis],
Chang, A.X.[Angel X.],
Niessner, M.[Matthias],
Scan2CAD: Learning CAD Model Alignment in RGB-D Scans,
CVPR19(2609-2618).
IEEE DOI
2002
BibRef
Gawrilowicz, F.,
Bærentzen, J.A.,
Optimal, Non-Rigid Alignment for Feature-Preserving Mesh Denoising,
3DV19(415-423)
IEEE DOI
1911
Smoothing methods, Laplace equations,
Noise reduction, Surface treatment,
point cloud registration
BibRef
Zhou, W.,
Zhao, C.,
Lu, L.,
Zhao, Q.,
Dense Correspondence of 3d Facial Point Clouds Via Neural Network
Fitting,
ICIP19(3731-3735)
IEEE DOI
1910
dense correspondence, point cloud, 3D face, 3D registration
BibRef
Xu, P.,
Gu, F.,
Song, Z.,
Li, J.,
Non-iterative multiple data registration method based on the motion
screw theory and trackable features,
ICPR18(2428-2432)
IEEE DOI
1812
Fasteners,
Iterative closest point algorithm, Feature extraction, Tracking,
transferrable features
BibRef
Liu, Y.,
Gao, W.,
Hu, Z.,
High-Quality and Memory-Efficient Volumetric Integration of Depth
Maps Using Plane Priors,
ICPR18(1749-1754)
IEEE DOI
1812
Cameras,
Memory management, Simultaneous localization and mapping, Visualization
BibRef
Wang, H.Y.[Han-Yu],
Guo, J.W.[Jian-Wei],
Yan, D.M.[Dong-Ming],
Quan, W.Z.[Wei-Ze],
Zhang, X.P.[Xiao-Peng],
Learning 3D Keypoint Descriptors for Non-rigid Shape Matching,
ECCV18(VIII: 3-20).
Springer DOI
1810
BibRef
Cai, Z.,
Shao, L.,
RGB-D data fusion in complex space,
ICIP17(1965-1969)
IEEE DOI
1803
Correlation, Entropy, Feature extraction, Image color analysis,
Image representation, Mutual information,
complex space
BibRef
Denitto, M.,
Melzi, S.,
Bicego, M.,
Castellani, U.,
Farinelli, A.,
Figueiredo, M.A.T.,
Kleiman, Y.,
Ovsjanikov, M.,
Region-Based Correspondence Between 3D Shapes via Spatially Smooth
Biclustering,
ICCV17(4270-4279)
IEEE DOI
1802
image segmentation, matrix decomposition,
pattern clustering, stereo image processing, 3D shapes,
BibRef
Garrett, T.,
Radkowski, R.,
Fast Descriptor Extraction for Contextless 3D Registration Using a
Fully Convolutional Network,
ICPR18(1211-1216)
IEEE DOI
1812
Feature extraction, Hardware,
Task analysis, Object recognition,
Training
BibRef
Garrett, T.,
Radkowski, R.,
Sheaffer, J.,
GPU-accelerated descriptor extraction process for 3D registration in
Augmented Reality,
ICPR16(3085-3090)
IEEE DOI
1705
Feature extraction, Graphics processing units, Indexes,
Instruction sets, Real-time systems, Sorting, Three-dimensional, displays
BibRef
Cheng, K.S.[Kai Sheng],
Lin, H.Y.[Huei Yung],
Luan, T.V.[Tran Van],
A 3D Recognition System with Local-Global Collaboration,
3DModelApp16(II: 19-33).
Springer DOI
1704
With RGB-D data.
BibRef
Tang, K.[Keke],
Song, P.[Peng],
Chen, X.P.[Xiao-Ping],
Signature of Geometric Centroids for 3D Local Shape Description and
Partial Shape Matching,
ACCV16(V: 311-326).
Springer DOI
1704
BibRef
German, L.[Leonid],
Ziehn, J.R.[Jens R.],
Rosenhahn, B.[Bodo],
Rapid Analytic Optimization of Quadratic ICP Algorithms,
MCBMIIA16(III: 61-75).
Springer DOI
1704
BibRef
Zhou, Y.Y.[Yi-Yang],
Wang, W.H.[Wen-Hai],
Guan, W.J.[Wen-Jie],
Wu, Y.[Yirui],
Lai, H.[Heng],
Lu, T.[Tong],
Cai, M.[Min],
Visual Robotic Object Grasping Through Combining RGB-D Data and 3D
Meshes,
MMMod17(I: 404-415).
Springer DOI
1701
BibRef
Kaltenmark, I.[Irène],
Trouvé, A.[Alain],
Partial Matchings and Growth Mapped Evolutions in Shape Spaces,
DIFF-CV16(990-998)
IEEE DOI
1612
BibRef
Wei, L.Y.[Ling-Yu],
Huang, Q.X.[Qi-Xing],
Ceylan, D.G.[Duy-Gu],
Vouga, E.[Etienne],
Li, H.[Hao],
Dense Human Body Correspondences Using Convolutional Networks,
CVPR16(1544-1553)
IEEE DOI
1612
BibRef
Zhou, T.H.[Ting-Hui],
Krähenbühl, P.[Philipp],
Aubry, M.[Mathieu],
Huang, Q.X.[Qi-Xing],
Efros, A.A.[Alexei A.],
Learning Dense Correspondence via 3D-Guided Cycle Consistency,
CVPR16(117-126)
IEEE DOI
1612
Not a lot of labels to learn from. Learn to keep in consistent.
BibRef
Mustafa, A.[Armin],
Kim, H.S.[Han-Sung],
Hilton, A.[Adrian],
4D Match Trees for Non-rigid Surface Alignment,
ECCV16(I: 213-229).
Springer DOI
1611
BibRef
Hemmat, H.J.[Hani Javan],
Bondarev, E.[Egor],
de With, P.H.N.[Peter H.N.],
R3P: Real-time RGB-D Registration Pipeline,
ACIVS16(385-397).
Springer DOI
1611
BibRef
Mukhopadhyay, A.[Anirban],
Kumar, A.C.S.[Arun C.S.],
Bhandarkar, S.M.[Suchendra M.],
Joint geometric graph embedding for partial shape matching in images,
WACV16(1-9)
IEEE DOI
1606
Feature extraction.
Matching of partially visible shapes in multiple images.
BibRef
Romero-González, C.,
Martinez-Gómez, J.,
García-Varea, I.,
Rodríguez-Ruiz, L.,
Binary patterns for shape description in RGB-D object registration,
WACV16(1-9)
IEEE DOI
1606
Computer vision
BibRef
Raghuramu, A.C.[Anil C.],
Robust Multiview Registration of 3D Surfaces via L_1-norm Minimization,
BMVC15(xx-yy).
DOI Link
1601
BibRef
Dong, C.[Chun],
Newman, T.S.[Timothy S.],
More Usable V-EGI for Volumetric Dataset Registration,
ISVC15(I: 511-520).
Springer DOI
1601
BibRef
Cheng, Y.[Yuan],
Xie, S.D.[Shu-Dong],
Leow, W.K.[Wee Kheng],
Zhang, K.[Kun],
Plane-Fitting Robust Registration for Complex 3D Models,
CAIP15(II:640-651).
Springer DOI
1511
BibRef
Fleishman, S.[Shachar],
Kliger, M.[Mark],
Lerner, A.[Alon],
Kutliroff, G.[Gershom],
ICPIK: Inverse Kinematics based articulated-ICP,
Hands15(28-35)
IEEE DOI
1510
Iterative closest point algorithm
BibRef
Gupta, S.[Saurabh],
Arbelaez, P.[Pablo],
Girshick, R.[Ross],
Malik, J.[Jitendra],
Aligning 3D models to RGB-D images of cluttered scenes,
CVPR15(4731-4740)
IEEE DOI
1510
BibRef
Cheng, S.Y.[Shi-Yang],
Marras, I.,
Zafeiriou, S.P.,
Pantic, M.,
Active nonrigid ICP algorithm,
FG15(1-8)
IEEE DOI
1508
face recognition
BibRef
Manoj, P.S.[Prakhya Sai],
Liu, B.B.[Bing-Bing],
Rui, Y.[Yan],
Lin, W.S.[Wei-Si],
A closed-form estimate of 3D ICP covariance,
MVA15(526-529)
IEEE DOI
1507
Data models
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Ushinohama, T.[Takuya],
Sawai, Y.[Yosuke],
Ono, S.[Satoshi],
Kawasaki, H.[Hiroshi],
Simultaneous Entire Shape Registration of Multiple Depth Images Using
Depth Difference and Shape Silhouette,
ACCV14(II: 457-472).
Springer DOI
1504
BibRef
Torres-Xirau, I.[Iban],
Salvador, J.[Jordi],
Pérez-Pellitero, E.[Eduardo],
Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing,
ACCV14(IV: 461-475).
Springer DOI
1504
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Zelener, A.[Allan],
Mordohai, P.[Philippos],
Stamos, I.[Ioannis],
Classification of Vehicle Parts in Unstructured 3D Point Clouds,
3DV14(147-154)
IEEE DOI
1503
Feature extraction
BibRef
Kayanuma, Y.[Yohei],
Umeda, F.[Fumiko],
Kawanaka, A.[Akira],
3-D Model Alignment for Retrieval from Part of Model Considering the
Rotation, Scaling and Translation with Projections around an Axis,
ISVC14(II: 502-509).
Springer DOI
1501
BibRef
Danckaers, F.,
Huysmans, T.,
Lacko, D.,
Ledda, A.,
Verwulgent, S.,
van Dongen, S.,
Sijbers, J.,
Correspondence Preserving Elastic Surface Registration with Shape
Model Prior,
ICPR14(2143-2148)
IEEE DOI
1412
Adaptation models
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Zeng, W.[Wei],
Yang, Y.J.[Yi-Jun],
Razib, M.,
Graph-Constrained Surface Registration Based on Tutte Embedding,
WBIR16(516-523)
IEEE DOI
1612
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Earlier: A1, A2, Only:
Surface Matching and Registration by Landmark Curve-Driven Canonical
Quasiconformal Mapping,
ECCV14(I: 710-724).
Springer DOI
1408
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Fan, K.[Ke],
Mian, A.[Ajmal],
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Earlier:
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WACV14(572-579)
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1406
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Havasi, L.[László],
Kiss, A.[Attila],
Spórás, L.[László],
Szirányi, T.[Tamás],
Calibrationless Sensor Fusion Using Linear Optimization for Depth
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IWCIA14(158-170).
Springer DOI
1405
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Bonnett, B.,
Hayes, M.,
Simulation of temporal coherence loss for repeat-pass synthetic
aperture sonar,
ICVNZ16(1-6)
IEEE DOI
1701
Coherence
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Bonnett, B.,
Hayes, M.,
Hunter, A.,
Registration of images from a hull mounted, low frequency synthetic
aperture sonar,
IVCNZ13(142-147)
IEEE DOI
1402
image reconstruction
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Mavadati, S.M.,
Mahoor, M.H.,
Zhang, X.[Xiao],
Manifold alignment using curvature information,
IVCNZ13(59-64)
IEEE DOI
1402
geometry
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Thomas, D.[Diego],
Sugimoto, A.[Akihiro],
A Flexible Scene Representation for 3D Reconstruction Using an RGB-D
Camera,
ICCV13(2800-2807)
IEEE DOI
1403
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Lamovsky, D.[Denis],
Range images registration by correction of perspective deformations
and camera calibration,
ICIP13(1394-1398)
IEEE DOI
1402
Range image
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Suominen, O.[Olli],
Gotchev, A.[Atanas],
Circular trajectory correspondences for iterative closest point
registration,
3DTV-CON13(1-4)
IEEE DOI
1309
Convergence
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Taddei, P.,
Sequeira, V.,
X-Ray and 3D Data Fusion for 3D Reconstruction of Closed Receptacle
Contents,
3DV13(231-238)
IEEE DOI
1311
X-ray imaging
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Yamazaki, S.,
Kagami, S.,
Mochimaru, M.,
Non-rigid Shape Registration Using Similarity-Invariant Differential
Coordinates,
3DV13(191-198)
IEEE DOI
1311
cameras
BibRef
Lam, J.,
Greenspan, M.,
3D Object Recognition by Surface Registration of Interest Segments,
3DV13(199-206)
IEEE DOI
1311
image registration
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Somanath, G.,
Cohen, S.,
Price, B.L.,
Kambhamettu, C.,
Stereo+Kinect for High Resolution Stereo Correspondences,
3DV13(9-16)
IEEE DOI
1311
cameras
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Mai, D.[Dominic],
Fischer, P.[Philipp],
Blein, T.[Thomas],
Dürr, J.[Jasmin],
Palme, K.[Klaus],
Brox, T.[Thomas],
Discriminative Detection and Alignment in Volumetric Data,
GCPR13(205-214).
Springer DOI
1311
BibRef
Jiang, H.[Hao],
Finding Approximate Convex Shapes in RGBD Images,
ECCV14(III: 582-596).
Springer DOI
1408
BibRef
Jiang, H.[Hao],
Matching bags of regions in RGBD images,
CVPR15(3358-3366)
IEEE DOI
1510
BibRef
Jiang, H.[Hao],
Xiao, J.X.[Jian-Xiong],
A Linear Approach to Matching Cuboids in RGBD Images,
CVPR13(2171-2178)
IEEE DOI
1309
RGBD image understanding; cuboid detection; linear optimization
BibRef
Hontani, H.[Hidekata],
Tsunekawa, Y.[Yuto],
Sawada, Y.[Yoshihide],
Accurate and Robust Registration of Nonrigid Surface Using
Hierarchical Statistical Shape Model,
CVPR13(2977-2984)
IEEE DOI
1309
BibRef
Nagase, M.[Masanobu],
Akizuki, S.[Shuichi],
3-D Feature Point Matching for Object Recognition Based on Estimation
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CAIP13(473-481).
Springer DOI
1308
BibRef
Vávra, R.[Radomír],
Filip, J.[Jirí],
Registration of Multi-view Images of Planar Surfaces,
ACCV12(IV:497-509).
Springer DOI
1304
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Ma, T.Y.[Tian-Yang],
Yi, M.[Meng],
Latecki, L.J.[Longin Jan],
View-Invariant Object Detection by Matching 3D Contours,
CDF12(II:183-196).
Springer DOI
1304
BibRef
Bronstein, A.M.,
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Castellani, U.,
Dubrovina, A.,
Guibas, L.J.,
Horaud, R.P.,
Kimmel, R.,
Knossow, D.,
von Lavante, E.,
Mateus, D.,
Ovsjanikov, M.,
Sharma, A.,
SHREC'10 Track: Correspondence Finding,
EG3DOR10(87-91)
DOI Link
1301
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Zabatani, A.[Aviad],
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Parallelized Algorithms For Rigid Surface Alignment On GPU,
3DOR12(17-23)
DOI Link
1301
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3DIMPVT12(73-80).
IEEE DOI
1212
BibRef
Yang, Y.[Ying],
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Correspondences of Persistent Feature Points on Near-Isometric Surfaces,
NORDIA12(I: 102-112).
Springer DOI
1210
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High Accuracy TOF and Stereo Sensor Fusion at Interactive Rates,
CDC4CV12(II: 1-11).
Springer DOI
1210
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Li, S.[Shuai],
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ECCV12(IV: 502-515).
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Schroers, C.[Christopher],
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DAGM12(73-82).
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1209
Award, GCPR, HM.
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Lamovsky, D.[Denis],
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Jaw, J.J.,
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General Mathematical Model of Least Squares 3D Surface Matching and Its
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ISPRS12(XXXIX-B3:205-210).
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ICIP11(889-892).
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1201
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3D surface registration using Z-SIFT,
ICIP11(1985-1988).
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1201
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Yu, X.P.[Xiao-Ping],
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The Application of Improved SIFT Algorithm in High Resolution SAR Image
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ISIDF11(1-4).
IEEE DOI
1111
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Efficient nonlinear DTI registration using DCT basis functions,
NORDIA11(17-22).
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1106
Tomography
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CVPR11(2457-2464).
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1106
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CVPR11(2449-2456).
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1106
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Yao, J.[Jian],
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ICIP10(4321-4324).
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1009
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ACCV10(IV: 293-306).
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1011
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Yoon, K.J.[Kuk-Jin],
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ICPR10(4020-4023).
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1008
Local features in stereo
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Wang, Y.M.[Yi-Ming],
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3D Model Comparison through Kernel Density Matching,
ICPR10(3159-3162).
IEEE DOI
1008
3D matching
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Seversky, L.M.[Lee M.],
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Scalable Cage-Driven Feature Detection and Shape Correspondence for 3D
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ICPR10(3557-3560).
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ICPR12(2210-2213).
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ECCV10(III: 621-634).
Springer DOI
1009
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Hontani, H.[Hidekata],
Watanabe, W.[Wataru],
Point-based non-rigid surface registration with accuracy estimation,
CVPR10(446-452).
IEEE DOI
1006
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Sagawa, R.[Ryusuke],
Akasaka, K.[Kiyotaka],
Yagi, Y.S.[Yasu-Shi],
Hamer, H.[Henning],
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Elastic convolved ICP for the registration of deformable objects,
3DIM09(1558-1565).
IEEE DOI
0910
BibRef
Li, X.K.[Xiao-Kun],
Wee, W.G.[William G.],
Overlap elimination for registered range images,
ICIP09(4297-4300).
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0911
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Chen, Y.W.[Yen-Wei],
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Hybrid particle swarm optimization for 3-D image registration,
ICIP09(1753-1756).
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0911
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Lieby, P.[Paulette],
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DICTA09(387-394).
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0912
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Heldmann, S.[Stefan],
Papenberg, N.[Nils],
A Variational Approach for Volume-to-Slice Registration,
SSVM09(624-635).
Springer DOI
0906
BibRef
Ho, H.T.[Huy Tho],
Gibbins, D.[Danny],
Multi-scale Feature Extraction for 3D Models Using Local Surface
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DICTA08(16-23).
IEEE DOI
0812
BibRef
And:
Multi-scale feature extraction for 3d surface registration using local
shape variation,
IVCNZ08(1-6).
IEEE DOI
0811
BibRef
Liu, X.W.[Xiu-Wen],
Donate, A.[Arturo],
Jemison, M.[Matthew],
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Kernel functions for robust 3D surface registration with spectral
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ICPR08(1-4).
IEEE DOI
0812
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Dong, X.[Xiao],
Zheng, G.[Guoyan],
Automatic Mutual Nonrigid Registration of Dense Surfaces by Graphical
Model Based Inference,
SSPR08(694-704).
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0812
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Chibunichev, A.G.,
Velizhev, A.B.,
Automatic Matching of Terrestrial Scan Data Using Orientation
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ISPRS08(B5: 601 ff).
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Li, Z.X.[Zheng-Xiao],
Bethel, J.S.[James S.],
DEM Registration, Alignment and Evaluation for SAR Interferometry,
ISPRS08(B1: 111 ff).
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And:
Image Coregistration in SAR Interferometry,
ISPRS08(B1: 433 ff).
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Liu, J.Z.[Jing-Zheng],
Yu, X.C.[Xu-Chu],
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ISPRS08(B1: 403 ff).
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Li, F.T.[Fang-Ting],
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Coregistration Based on SIFT Algorithm for Synthetic Aperture Radar
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ISPRS08(B1: 123 ff).
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Pellegrini, S.,
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A Generalisation of the ICP Algorithm for Articulated Bodies,
BMVC08(xx-yy).
PDF File.
0809
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Vedaldi, A.[Andrea],
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IEEE DOI
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VLFeat,
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CVPR08(1-8).
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0806
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Li, H.D.[Hong-Dong],
Hartley, R.I.[Richard I.],
The 3D-3D Registration Problem Revisited,
ICCV07(1-8).
IEEE DOI
0710
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Zheng, E.[Enliang],
Dunn, E.[Enrique],
Jojic, V.[Vladimir],
Frahm, J.M.[Jan-Michael],
PatchMatch Based Joint View Selection and Depthmap Estimation,
CVPR14(1510-1517)
IEEE DOI
1409
See also Joint Object Class Sequencing and Trajectory Triangulation (JOST).
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Zheng, E.[Enliang],
Dunn, E.[Enrique],
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Frahm, J.M.[Jan-Michael],
Efficient and Scalable Depthmap Fusion,
BMVC12(34).
DOI Link
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RoutedFusion: Learning Real-Time Depth Map Fusion,
CVPR20(4886-4896)
IEEE DOI
2008
Real-time systems, Noise measurement,
Standards, Routing, Surface reconstruction, Pollution measurement
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Merrell, P.[Paul],
Akbarzadeh, A.[Amir],
Wang, L.[Liang],
Mordohai, P.[Philippos],
Frahm, J.M.[Jan-Michael],
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0710
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Shinano, Y.[Yuji],
Shimizu, I.[Ikuko],
Automatic Range Image Registration Using Mixed Integer Linear
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0711
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Selby, B.P.[Boris Peter],
Sakas, G.[Georgios],
Walter, S.[Stefan],
Groch, W.D.[Wolf-Dieter],
Stilla, U.[Uwe],
Internal evaluation of registration results for radiographic images,
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IEEE DOI
0812
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Nüchter, A.[Andreas],
GPU-Accelerated Nearest Neighbor Search for 3D Registration,
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0910
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Cached K-D tree search for ICP algorithms,
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Online Registration of Multi-view Range Images using Geometric and
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Morisaka, A.[Akihiko],
Kawasaki, H.[Hiroshi],
Shape-merging and interpolation using class estimation for unseen
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See also Shape Reconstruction and Camera Self-Calibration Using Cast Shadows and Scene Geometries.
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Optimal landmark detection using shape models and branch and bound,
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1201
Fitting 2D and 3D models to images. Distinct interest points.
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On compositional Image Alignment, with an application to Active
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0906
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Optimal Step Nonrigid ICP Algorithms for Surface Registration,
CVPR07(1-8).
IEEE DOI
0706
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Chen, C.C.[Cecilia Chao],
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Range Image Registration Based on Circular Features,
3DPVT06(543-550).
IEEE DOI
0606
BibRef
Earlier:
Semi-automatic range to range registration: A feature-based method,
3DIM05(254-261).
IEEE DOI
0508
BibRef
Liu, Y.H.[Yong-Huai],
Zhou, H.[Hong],
Su, X.[Xuan],
Ni, M.X.[Ming-Xin],
Lloyd, R.J.[Robert J.],
Transforming Least Squares to Weighted Least Squares for Accurate Range
Image Registration,
3DPVT06(232-239).
IEEE DOI
0606
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Branch, J.W.[John Willian],
Prieto, F.[Flavio],
Boulanger, P.[Pierre],
Robust Three-Dimensional Registration of Range Images Using a New
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GMP06(528-535).
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0607
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Robust Automatic Marker-free Registration of Terrestrial Scan Data,
PCV06(xx-yy).
PDF File.
0609
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Watanabe, D.[Daiju],
Saito, H.[Hideo],
Planar Structure Based Registration of Multiple Range Images,
ICPR06(III: 689-692).
IEEE DOI
0609
BibRef
Dinh, H.Q.[H. Quynh],
Kropac, S.[Steven],
Multi-Resolution Spin-Images,
CVPR06(I: 863-870).
IEEE DOI
0606
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Ferreira, J.F.[João Filipe],
Dias, J.[Jorge],
Three-Dimensional Planar Profile Registration in 3D Scanning,
ICIAR05(617-624).
Springer DOI
0509
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Li, T.[Ting],
A robust image-based method for 3D registration,
3DIM05(270-276).
IEEE DOI
0508
BibRef
Hemayed, E.E.[Elsayed E.],
Surface Registration Using Extended Polar Maps,
ACCV06(I:938-947).
Springer DOI
0601
BibRef
Liu, D.,
Chen, T.H.[Tsu-Han],
Soft shape context for iterative closest point registration,
ICIP04(II: 1081-1084).
IEEE DOI
0505
BibRef
Chen, Y.[Ying],
Hao, P.W.[Peng-Wei],
Zhang, C.[Chao],
Shear-Resize Factorizations for Fast Image Registration,
ICIP05(III: 1120-1123).
IEEE DOI
0512
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Chen, Y.[Ying],
Hao, P.W.[Peng-Wei],
Yu, J.,
Shear-resize factorizations for fast multi-modal volume registration,
ICIP04(II: 1085-1088).
IEEE DOI
0505
BibRef
Brown, B.J.,
Rusinkiewicz, S.,
Non-Rigid Range-Scan Alignment Using Thin-Plate Splines,
3DPVT04(759-765).
IEEE DOI
0412
BibRef
Willis, A.,
Cooper, D.B.,
Alignment of multiple non-overlapping axially symmetric 3D datasets,
ICPR04(IV: 96-99).
IEEE DOI
0409
BibRef
Greenspan, M.,
Yurick, M.,
Approximate K-D tree search for efficient ICP,
3DIM03(442-448).
IEEE DOI
0311
BibRef
Jost, T.,
Hügli, H.,
Fast ICP Algorithms for Shape Registration,
DAGM02(91 ff.).
Springer DOI
0303
BibRef
And:
A multi-resolution scheme ICP algorithm for fast shape registration,
3DPVT02(540-543).
IEEE DOI
0206
BibRef
Granger, S.,
Pennec, X.,
Multi-scale EM-ICP: A Fast and Robust Approach for Surface Registration,
ECCV02(IV: 418 ff.).
Springer DOI
0205
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Wolf, L.B.[Lior B.],
Shashua, A.[Amnon],
Wexler, Y.[Yoni],
Join Tensors: On 3D-to-3D Alignment of Dynamic Sets,
ICPR00(Vol I: 388-391).
IEEE DOI
0009
BibRef
Eldeib, A.,
Volume Registration by Surface Point Signature and Mutual Information
Maximization with Applications in Intra-operative MRI Surgeries,
ICIP00(Vol I: 200-203).
IEEE DOI
0008
BibRef
Cham, T.J.[Tat-Jen],
Rehg, J.M.,
Dynamic Feature Ordering for Efficient Registration,
ICCV99(1084-1091).
IEEE DOI
BibRef
9900
Roth, G.[Gerhard],
An Automatic Registration Algorithm for Two Overlapping Range Images,
CAIP99(329-338).
Springer DOI
9909
BibRef
And:
Registering two overlapping range images,
3DIM99(191-200).
IEEE DOI
9910
BibRef
Vaidya, N.,
Sengupta, K.,
Wen, B.,
Boyer, K.L.,
Experiments in Semiautonomous Registration of Disparate Spatial Data:
Two New Techniques and a Model for Comparison,
SCV95(407-412).
IEEE DOI Ohio State University.
Registering range images
BibRef
9500
Kverh, B.[Bojan],
Leonardis, A.[Ales],
Registration of Range Images Based on Segmented Data,
CAIP99(347-356).
Springer DOI
9909
BibRef
Sarrut, D.,
Miguet, S.[Serge],
Fast 3D image transformations for registration procedures,
CIAP99(446-451).
IEEE DOI
9909
BibRef
Rutishauser, M.,
Strieker, M.,
Searching for Grasping Opportunities on Unmodeled 3D Objects,
BMVC95(xx-yy).
PDF File.
9509
BibRef
Rutishauser, M.,
Stricker, M.,
Trobina, M.,
Merging Range Images of Arbitrarily Shaped Objects,
CVPR94(573-580).
IEEE DOI
BibRef
9400
Malandain, G.[Grégoire],
Fernández-Vidal, S.[Sara],
Rocchisani, J.M.[Jean-Marie],
Improving registration of 3-D medical images using a mechanical based
method,
ECCV94(B:130-136).
Springer DOI
9405
BibRef
And:
Rigid registration of 3-D objects by motion analysis,
ICPR94(A:579-581).
IEEE DOI
9410
BibRef
Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Register Point Cloud Data, Point Cloud Matching, Laser Scanner Data .