12.3.4.1 Register 3-D Data, Range Registration, 3-D Correspondence

Chapter Contents (Back)
Registration, 3-D. Registration. 3-D.
See also Register Point Cloud Data, Point Cloud Matching, Laser Scanner Data. Iterative Closest Point. Face data specific papers:
See also Face Alignment, Registration, Recognition.
See also Face Model Generation, Three-Dimensional Models.
See also Closest Point Algorithms, ICP, Iterative Closest Point.

Besl, P.J., and McKay, N.D.,
A Method for Registration of 3-D Shapes,
PAMI(14), No. 2, February 1992, pp. 239-256.
IEEE DOI ICP. Matching surfaces, and free-form shapes (see
See also Free-Form Surface Matching Problem, The. ). Finds a fit for the entire surface and the model. BibRef 9202

Besl, P.J.,
The Free-Form Surface Matching Problem,
MVfor3D(25-71), 1990. BibRef 9000

Zhang, Z.Y.[Zheng-You],
Iterative Point Matching for Registration of Free-Form Curves and Surfaces,
IJCV(13), No. 2, October 1994, pp. 119-152.
Springer DOI BibRef 9410
Earlier:
A New and Efficient Iterative Approach to Image Matching,
ICPR94(A:563-565).
IEEE DOI BibRef
Earlier:
Point matching for registration of free-form surfaces,
CAIP93(460-467).
Springer DOI 9309
BibRef
Earlier:
On Local Matching of Free-Form Curves,
BMVC92(345-356). BibRef
And:
PDF File.
And:
Iterative Point Matching for Registration of Free-Form Curves,
INRIATR 1658, May 1992. Registration of curves. BibRef

Jacq, J.J., Roux, C.,
Registration of 3-D Images by Genetic Optimization,
PRL(16), No. 8, August 1995, pp. 823-841. BibRef 9508
Earlier:
Registration of Non-Segmented Images Using a Genetic Algorithm,
CVRMed95(XX-YY) BibRef

Jacq, J.J., Roux, C.,
Geodesic morphometry with applications to 3-D morpho-functional anatomy,
PIEEE(91), No. 10, October 2003, pp. 1680-1698.
IEEE DOI 0310
BibRef

Chua, C.S., Jarvis, R.,
3D Free-Form Surface Registration and Object Recognition,
IJCV(17), No. 1, January 1996, pp. 77-99.
Springer DOI BibRef 9601

Chan, M.H., Tsui, H.T.,
Recognition of Partially Occluded 3-D Objects by Depth Map Matching,
PRL(7), 1988, pp. 319-327. BibRef 8800

Bess, R.,
Registering Depth Maps from Multiple Views Recorded by Color Image Sequences,
PRIA(7), No. 3, 1997, pp. xx-yy.
PS File. BibRef 9700

Chung, D.H.[Do Hyun], Yun, I.D.[Il Dong], Lee, S.U.[Sang Uk],
Registration of Multiple-Range Views Using the Reverse-Calibration Technique,
PR(31), No. 4, April 1998, pp. 457-464.
Elsevier DOI 9803
2 steps. Transformation among range views, register views iteratively.
See also Mesh Simplification Using the Edge Attributes. BibRef

Tarel, J.P.[Jean-Philippe], Boujemaa, N.[Nozha],
A Coarse to Fine 3D Registration Method Based on Robust Fuzzy Clustering,
CVIU(73), No. 1, January 1999, pp. 14-28.
DOI Link And full paper:
HTML Version.
PS File. BibRef 9901

Chen, C.S.[Chu-Song], Hung, Y.P.[Yi-Ping], Cheng, J.B.[Jen-Bo],
RANSAC-Based DARCES: A New Approach to Fast Automatic Registration of Partially Overlapping Range Images,
PAMI(21), No. 11, November 1999, pp. 1229-1234.
IEEE DOI 9912
BibRef
Earlier:
A Fast and Robust Approach for Registration of Partially Overlapping Range Images,
ICCV98(242-248).
IEEE DOI BibRef

Alexander, D.C.[Daniel C.], Gee, J.C.[James C.],
Elastic Matching of Diffusion Tensor Images,
CVIU(77), No. 2, February 2000, pp. 233-250.
DOI Link 0003

See also Spatial transformations of diffusion tensor magnetic resonance images. BibRef

Alexander, D.C.[Daniel C.], Gee, J.C.[James C.], Bajcsy, R.[Ruzena],
Elastic Matching of Diffusion Tensor MRIs,
CVPR99(I: 244-249).
IEEE DOI BibRef 9900
And:
Similarity Measures for Matching Diffusion Tensor Images,
BMVC99(Image Matching and Retrieval).
PDF File. BibRef

Scheiber, R., Moreira, A.,
Coregistration of Interferometric SAR Images Using Spectral Diversity,
GeoRS(38), No. 5, September 2000, pp. 2179-2191.
IEEE Top Reference. 0010
BibRef

Cortelazzo, G.M., Balanza, M.,
Frequency domain analysis of translations with piecewise cubic trajectories,
PAMI(15), No. 4, April 1993, pp. 411-416.
IEEE DOI 0401
BibRef

Cortelazzo, G.M., Lucchese, L., Monti, C.M.,
Frequency domain analysis of general planar rigid motion with finite duration,
JOSA-A(16), No. 6, June 1999, pp. 1238-1253. BibRef 9906
Earlier: A2, A1, A3:
Estimation of Affine Transformations between Image Pairs via Fourier Transform,
ICIP96(III: 715-718).
IEEE DOI 9610
BibRef

Lucchese, L., and Cortelazzo, G.M.,
Noise-Robust Estimation of Planar Roto-Translations with High Precision,
ICIP97(I: 699-702).
IEEE DOI BibRef 9700
And:
Estimation of 3D Rigid Motion in the Frequency Domain Based on Range and Intensity Data,
3DIM97(4 - View Registration) 9702
BibRef

Andreetto, M., Cortelazzo, G.M., Lucchese, L.,
Frequency domain registration of computer tomography data,
3DPVT04(550-557).
IEEE DOI 0412
BibRef

Brusco, M., Andreetto, M., Giorgi, A., Cortelazzo, G.M.,
3D registration by textured spin-images,
3DIM05(262-269).
IEEE DOI 0508
BibRef

Cortelazzo, G.M., Lucchese, L.,
A Technique for Matching Projective Views with Application to Color Image Mosaicing,
ICIP99(IV:108-112).
IEEE DOI BibRef 9900

Lucchese, L.[Luca], Doretto, G.[Gianfranco], Cortelazzo, G.M.[Guido Maria],
A Frequency Domain Technique for Range Data Registration,
PAMI(24), No. 11, November 2002, pp. 1468-1484.
IEEE Abstract. 0211
BibRef
Earlier: A3, A2, A1:
Free-form textured surfaces registration by a frequency domain technique,
ICIP98(I: 813-817).
IEEE DOI 9810
FT allows decoupling rotation from translation computations. 3 step process, 2 to get R, then 1 to get T. BibRef

Dalley, G.[Gerald], Flynn, P.J.[Patrick J.],
Pair-Wise Range Image Registration: A Study in Outlier Classification,
CVIU(87), No. 1-3, July 2002, pp. 104-115.
DOI Link 0301
BibRef
Earlier:
Range image registration: A software platform and empirical evaluation,
3DIM01(246-253).
IEEE DOI 0106
Evaluate several ICP variations. BibRef

Wang, Y.M.[Yong-Mei], Peterson, B.S.[Bradley S.], Staib, L.H.[Lawrence H.],
3D Brain surface matching based on geodesics and local geometry,
CVIU(89), No. 2-3, February-March 2003, pp. 252-271.
Elsevier DOI 0304
BibRef
Earlier:
Shape-based 3D Surface Correspondence using Geodesics and Local Geometry,
CVPR00(II: 644-651).
IEEE DOI 0005
Initial sparse match from geometric features, interpolation to capture complex surface. BibRef

Nyul, L.G., Udupa, J.K., Saha, P.K.,
Incorporating a measure of local scale in voxel-based 3-D image registration,
MedImg(22), No. 2, February 2003, pp. 228-237.
IEEE Top Reference. 0304
BibRef

Bagci, U.[Ulas], Udupa, J.K.[Jayaram K.], Bai, L.[Li],
The role of intensity standardization in medical image registration,
PRL(31), No. 4, 1 March 2010, pp. 315-323.
Elsevier DOI 1002
Intensity standardization; Image registration; Non-standardness; Inhomogeneity correction; Quantitative validation BibRef

Bagci, U.[Ulas], Bai, L.[Li],
Automatic Best Reference Slice Selection for Smooth Volume Reconstruction of a Mouse Brain From Histological Images,
MedImg(29), No. 9, September 2010, pp. 1688-1696.
IEEE DOI 1003
Registering slices to reconstruct volume. BibRef

Rueda, S.[Sylvia], Udupa, J.K.[Jayaram K.], Bai, L.[Li],
Shape modeling via local curvature scale,
PRL(31), No. 4, 1 March 2010, pp. 324-336.
Elsevier DOI 1002
Automatic landmark tagging; Shape model; Correspondence problem; Curvature; Shape description; Segmentation BibRef

Gómez, F.[Francisco], Ramaswami, S.[Suneeta], Toussaint, G.T.[Godfried T.],
On Computing General Position Views of Data in Three Dimensions,
JVCIR(13), No. 4, December 2002, pp. 401-424.
DOI Link 0304
removing degeneracies in spatial data. BibRef

Silva, L.[Luciano], Bellon, O.R.P.[Olga R.P.], Boyer, K.L.[Kim L.],
Precision Range Image Registration Using a Robust Surface Interpenetration Measure and Enhanced Genetic Algorithms,
PAMI(27), No. 5, May 2005, pp. 762-776.
IEEE Abstract. 0501
BibRef
Earlier:
Enhanced, robust genetic algorithms for multiview range image registration,
3DIM03(268-275).
IEEE DOI 0311
Low overlap views. ICP has problems with noise and requiring a good starting point. Use a genetic algorithm and a surface interpenetration measure for evaluation.
See also Robust extraction of planar and quadric surfaces from range images. BibRef

Silva, L.[Luciano], Bellon, O.R.P.[Olga R.P.], Gotardo, P.F.U., Boyer, K.L.[Kim L.],
Range image registration using enhanced genetic algorithms,
ICIP03(II: 711-714).
IEEE DOI 0312
BibRef

Silva, L.[Luciano], Bellon, O.R.P.[Olga R.P.], Boyer, K.L.[Kim L.],
Multiview Range Image Registration Using the Surface Interpenetration Measure,
IVC(25), No. 1, January 2007, pp. 114-125.
Elsevier DOI 0611
Multiview registration; Simulated annealing; Genetic algorithms; Robust methods; Surface interpenetration measure
See also 3D Face Image Registration for Face Matching Guided by the Surface Interpenetration Measure. BibRef

Silva, L.[Luciano], Bellon, O.R.P.[Olga R.P.], Boyer, K.L.[Kim L.],
Robust Range Image Registration Using Genetic Algorithms and the Surface Interpenetration Measure,
World ScientificDecember 2004. ISBN 978-981-256-108-4. Buy this book: Robust Range Image Registration Using Genetic Algorithms And The Surface Interpenetration Measure (Series in Machine Perception and Artificial Intelligence) BibRef 0412

Pitiot, A.[Alain], Delingette, H.[Hervé], Thompson, P.M.[Paul M.],
Learning Shape Correspondence for n-D curves,
IJCV(71), No. 1, January 2007, pp. 71-88.
Springer DOI 0609
Add explicit knowledget of what is being matched.
See also Adaptive elastic segmentation of brain MRI via shape-model-guided evolutionary programming. BibRef

Pitiot, A.[Alain], Guimond, A.[Alexandre],
Geometrical Regularization of Displacement Fields with Application to Biological Image Registration,
WBIR06(101-109).
Springer DOI 0607
BibRef

Mian, A.S.[Ajmal S.], Bennamoun, M.[Mohammed], Owens, R.A.[Robyn A.],
A Novel Representation and Feature Matching Algorithm for Automatic Pairwise Registration of Range Images,
IJCV(66), No. 1, January 2006, pp. 19-40.
Springer DOI 0601

See also Keypoint Detection and Local Feature Matching for Textured 3D Face Recognition.
See also Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes. BibRef

Hu, Y.Q.[Yi-Qun], Mian, A.S.[Ajmal S.], Owens, R.A.[Robyn A.],
Face Recognition Using Sparse Approximated Nearest Points between Image Sets,
PAMI(34), No. 10, October 2012, pp. 1992-2004.
IEEE DOI 1208
BibRef
Earlier:
Sparse approximated nearest points for image set classification,
CVPR11(121-128).
IEEE DOI 1106
Classify the image set, not a single image.
See also On the Repeatability and Quality of Keypoints for Local Feature-based 3D Object Retrieval from Cluttered Scenes. BibRef

Cordón, O., Damas, S., Santamaría, J.,
A fast and accurate approach for 3D image registration using the scatter search evolutionary algorithm,
PRL(27), No. 11, August 2006, pp. 1191-1200.
Elsevier DOI 0606
Evolutionary computation; Scatter search; Genetic algorithms; Iterative closest point
See also Feature-based image registration by means of the CHC evolutionary algorithm. BibRef

Santamaría, J.[José], Damas, S.[Sergio], García-Torres, J.M.[José M.], Cordón, O.[Oscar],
Self-adaptive evolutionary image registration using differential evolution and artificial immune systems,
PRL(33), No. 16, 1 December 2012, pp. 2065-2070.
Elsevier DOI 1210
Image registration; 3D modeling; Evolutionary image registration; Self-adaptive BibRef

Cordón, O., Damas, S., Santamaría, J.,
Feature-based image registration by means of the CHC evolutionary algorithm,
IVC(24), No. 5, 1 May 2006, pp. 525-533.
Elsevier DOI 0606
Genetic algorithms; CHC; Iterative closest point
See also fast and accurate approach for 3D image registration using the scatter search evolutionary algorithm, A. BibRef

Santamaria, J., Cordon, O., Damas, S.,
A comparative study of state-of-the-art evolutionary image registration methods for 3D modeling,
CVIU(115), No. 9, September 2011, pp. 1340-1354.
Elsevier DOI 1107
Image registration; Evolutionary computation; Metaheuristics; Computer vision; Range images; 3D modeling; ICP BibRef

Santamaria, J., Cordon, O., Damas, S., Ibanez, O.,
Tackling the coplanarity problem in 3D camera calibration by means of fuzzy landmarks: A performance study in forensic craniofacial superimposition,
3DIM09(1686-1693).
IEEE DOI 0910
BibRef

Sansosti, E., Berardino, P., Manunta, M., Serafino, F., Fornaro, G.,
Geometrical SAR Image Registration,
GeoRS(44), No. 10, October 2006, pp. 2861-2870.
IEEE DOI 0609
BibRef

Almhdie, A.[Ahmad], Leger, C.[Christophe], Deriche, M.[Mohamed], Ledee, R.[Roger],
3D registration using a new implementation of the ICP algorithm based on a comprehensive lookup matrix: Application to medical imaging,
PRL(28), No. 12, 1 September 2007, pp. 1523-1533.
Elsevier DOI 0707
Surface registration; ICP algorithm; Point matching; Medical data BibRef

Almhdie, A.[Ahmad], Leger, C.[Christophe], Deriche, M.[Mohamed], Nguyen, L.D., Ledee, R.[Roger],
The comprehensive ICP (CICP) algorithm and its application to the multidmoal registration of 3D surfaces of the heart,
WSSIP08(499-502).
IEEE DOI 0806
BibRef

Reyes, L.[Leo], Medioni, G.[Gerard], Bayro-Corrochano, E.[Eduardo],
Registration of 3D Points Using Geometric Algebra and Tensor Voting,
IJCV(75), No. 3, December 2007, pp. 351-369.
Springer DOI 0710

See also projective reconstruction of points, lines, quadrics, plane conics and degenerate quadrics using uncalibrated cameras, The. BibRef

Reyes-Lozano, L.[Leo], Medioni, G.[Gerard], Bayro-Corrochano, E.[Eduardo],
Registration of 2D Points Using Geometric Algebra and Tensor Voting,
JMIV(37), No. 3, July 2010, pp. xx-yy.
Springer DOI 1007
BibRef

Feng, J.[Jun], Ip, H.H.S.[Horace H.S.], Lai, L.Y.[Lap Yi], Linney, A.[Alf],
Robust point correspondence matching and similarity measuring for 3D models by relative angle-context distributions,
IVC(26), No. 6, 1 June 2008, pp. 761-775.
Elsevier DOI 0804
3D model matching; Point correspondence; Relative angle distribution; Similarity analysis BibRef

Feng, J.[Jun], Ip, H.H.S.[Horace H.S.],
Chi-Square Goodness-of-Fit Test of 3D Point Correspondence for Model Similarity Measure and Analysis,
CIVR05(445-453).
Springer DOI 0507
BibRef

Smith, E.R.[Eric R.], King, B.J.[Bradford J.], Stewart, C.V.[Charles V.], Radke, R.J.[Richard J.],
Registration of combined range-intensity scans: Initialization through verification,
CVIU(110), No. 2, May 2008, pp. 226-244.
Elsevier DOI 0804
Range registration; Iterative closest point; Keypoint; Decision criteria; Physical changes BibRef

King, B.J.[Bradford J.], Malisiewicz, T., Stewart, C.V.[Charles V.], Radke, R.J.[Richard J.],
Registration of multiple range scans as a location recognition problem: hypothesis generation, refinement and verification,
3DIM05(180-187).
IEEE DOI 0508
BibRef

Malisiewicz, T.[Tomasz],
Exemplar-based Representations for Object Detection, Association and Beyond,
CMU-RI-TR-11-32, August, 2011 BibRef 1108 Ph.D.Thesis.
PDF File. 1202
BibRef

Malisiewicz, T.[Tomasz], Gupta, A.[Abhinav], Efros, A.A.[Alexei A.],
Ensemble of exemplar-SVMs for object detection and beyond,
ICCV11(89-96).
IEEE DOI 1201
BibRef

Malisiewicz, T.[Tomasz], Efros, A.A.[Alexei A.],
Recognition by association via learning per-exemplar distances,
CVPR08(1-8).
IEEE DOI 0806
BibRef
Earlier:
Improving Spatial Support for Objects via Multiple Segmentations,
BMVC07(xx-yy).
PDF File. 0709
BibRef

Postelnicu, G., Zollei, L.[Lilla], Fischl, B.,
Combined Volumetric and Surface Registration,
MedImg(28), No. 4, April 2009, pp. 508-522.
IEEE DOI 0904
BibRef

Hou, F.[Fei], Qi, Y.[Yue], Shen, X.[Xukun], Yang, S.[Shen], Zhao, Q.P.[Qin-Ping],
Automatic registration of multiple range images based on cycle space,
VC(25), No. 5-7, May 2009, pp. xx-yy.
Springer DOI 0905
BibRef

Bican, J.[Jakub], Flusser, J.[Jan],
3D Rigid registration by cylindrical phase correlation method,
PRL(30), No. 10, 15 July 2009, pp. 914-921.
Elsevier DOI 0906
BibRef
Earlier:
Cylindrical Phase Correlation Method,
CAIP07(751-758).
Springer DOI 0708
Registration using phase for rotation and translation. Image registration; Phase correlation; Cylindrical transform; Rigid body transform BibRef

Hu, Z.Z.[Zhao-Zheng], Chung, R.[Ronald], Fung, K.S.M.[Kenneth S. M.],
EC-EGI: enriched complex EGI for 3D shape registration,
MVA(21), No. 2, February 2010, pp. xx-yy.
Springer DOI 1002
Enrich using 3 values at each point on EGI. BibRef

Tsai, C.L., Li, C.Y., Yang, G., Lin, K.S.,
The Edge-Driven Dual-Bootstrap Iterative Closest Point Algorithm for Registration of Multimodal Fluorescein Angiogram Sequence,
MedImg(29), No. 3, March 2010, pp. 636-649.
IEEE DOI 1003
BibRef

Yeo, B.T.T., Sabuncu, M.R., Vercauteren, T., Ayache, N., Fischl, B., Golland, P.,
Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration,
MedImg(29), No. 3, March 2010, pp. 650-668.
IEEE DOI 1003
BibRef

Aganj, I., Yeo, B.T.T., Sabuncu, M.R., Fischl, B.,
On Removing Interpolation and Resampling Artifacts in Rigid Image Registration,
IP(22), No. 2, February 2013, pp. 816-827.
IEEE DOI 1302
BibRef

Aganj, I., Fischl, B.,
Multimodal Image Registration Through Simultaneous Segmentation,
SPLetters(24), No. 11, November 2017, pp. 1661-1665.
IEEE DOI 1710
Biomedical imaging, Histograms, Image registration, Image segmentation, Linear programming, Mutual information, Multimodal image registration, segmentation-based, (SB), image, registration BibRef

Du, S.Y.[Shao-Yi], Zheng, N.N.[Nan-Ning], Xiong, L.[Lei], Ying, S.H.[Shi-Hui], Xue, J.R.[Jian-Ru],
Scaling iterative closest point algorithm for registration of m-D point sets,
JVCIR(21), No. 5-6, July-August 2010, pp. 442-452.
Elsevier DOI 1007
Iterative closest point (ICP); Singular value decomposition (SVD); Properties of parabola; Scaling registration; Point set registration; Iterative algorithm; Local convergence; Covariance matrix BibRef

Du, S.Y.[Shao-Yi], Liu, J.[Juan], Bi, B.[Bo], Zhu, J.[Jihua], Xue, J.R.[Jian-Ru],
New iterative closest point algorithm for isotropic scaling registration of point sets with noise,
JVCIR(38), No. 1, 2016, pp. 207-216.
Elsevier DOI 1605
Iterative closest point BibRef

Pang, S.M.[Shan-Min], Xue, J.R.[Jian-Ru], Tian, Q.[Qi], Zheng, N.N.[Nan-Ning],
Exploiting local linear geometric structure for identifying correct matches,
CVIU(128), No. 1, 2014, pp. 51-64.
Elsevier DOI 1410
Local geometric structure BibRef

Ying, S.H.[Shi-Hui], Qiao, H.[Hong],
Lie group method: A new approach to image matching with arbitrary orientations,
IJIST(20), No. 3, September 2010, pp. 245-252.
DOI Link 1008
similar to workpiece orientation problem. Match as if image is 3D surface. BibRef

Kanatani, K.[Kenichi], Sugaya, Y.[Yasuyuki],
Unified Computation of Strict Maximum Likelihood for Geometric Fitting,
JMIV(38), No. 1, September 2010, pp. 1-13.
WWW Link. 1011
Use orthogonal projection of observations onto a parameterized surface given by the constraints. BibRef

Erbou, S.G.H.[Søren G.H.], Vester-Christensen, M.[Martin], Larsen, R.[Rasmus], Christensen, L.B.[Lars Bager], Ersbøll, B.K.[Bjarne Kjer],
Comparison of sparse point distribution models,
MVA(21), No. 6, October 2010, pp. 999-1008.
WWW Link. 1011
BibRef

Darkner, S.[Sune], Hansen, M.S.[Michael Sass], Larsen, R.[Rasmus], Hansen, M.F.[Mads F.],
Efficient Hyperelastic Regularization for Registration,
SCIA11(295-305).
Springer DOI 1105
BibRef

Hansen, M.F.[Mads Fogtmann], Erbou, S.G.H.[Søren G.H.], Vester-Christensen, M.[Martin], Larsen, R.[Rasmus], Ersbøll, B.K.[Bjarne Kjer], Christensen, L.B.[Lars Bager],
Surface-to-Surface Registration Using Level Sets,
SCIA07(780-788).
Springer DOI 0706
BibRef

Mosbech, T.H.[Thomas Hammershaimb], Ersboll, B.K.[Bjarne Kjer], Christensen, L.B.[Lars Bager],
An efficient data-driven tissue deformation model,
3DIM09(1771-1777).
IEEE DOI 0910
BibRef

Li, W.L.[Wen-Long], Yin, Z.P.[Zhou-Ping], Huang, Y.A.[Yong-An], Xiong, Y.L.[You-Lun],
Three-dimensional point-based shape registration algorithm based on adaptive distance function,
IET-CV(5), No. 1, March 2011, pp. 68-76.
DOI Link 1101
BibRef

Li, W.L.[Wen-Long], Yin, Z.P.[Zhou-Ping], Huang, Y.A.[Yong-An], Xiong, Y.L.[You-Lun],
Automatic registration for 3D shapes using hybrid dimensionality-reduction shape descriptions,
PR(44), No. 12, December 2011, pp. 2926-2943.
Elsevier DOI 1107
Registration; Dimensionality-reduction shape descriptions; Surface representation; Angle-preserving parameterization; Transformation BibRef

Thomas, D.[Diego], Sugimoto, A.[Akihiro],
Robustly registering range images using local distribution of albedo,
CVIU(115), No. 5, May 2011, pp. 649-667.
Elsevier DOI 1103
BibRef
Earlier:
Range Image Registration of Specular Objects under Complex Illumination,
3DPVT10(xx-yy).
WWW Link. 1005
BibRef
Earlier:
Robust range image registration using local distribution of albedo,
3DIM09(1654-1661).
IEEE DOI 0910
Range image; Registration; Albedo; Region growing; Rigidity constraint; Lambertian BibRef

Thomas, D.[Diego], Sugimoto, A.[Akihiro],
Range Image Registration Using a Photometric Metric under Unknown Lighting,
PAMI(35), No. 9, 2013, pp. 2252-2269.
IEEE DOI 1307
BibRef
Earlier:
Illumination-free photometric metric for range image registration,
WACV12(97-104).
IEEE DOI 1203
Cost function BibRef

Thomas, D.[Diego], Sugimoto, A.[Akihiro],
Parametric Surface Representation with Bump Image for Dense 3D Modeling Using an RBG-D Camera,
IJCV(123), No. 2, June 2017, pp. 206-225.
Springer DOI 1705
volumetric truncated signed distance function (TSDF). BibRef

Thomas, D.[Diego], Matsushita, Y.[Yasuyuki], Sugimoto, A.[Akihiro],
Robust Simultaneous 3D Registration via Rank Minimization,
3DIMPVT12(33-40).
IEEE DOI 1212
BibRef

Shimizu, I.[Ikuko], Sugimoto, A.[Akihiro], Sara, R.[Radim],
Graph-Based Range Image Registration Combining Geometric and Photometric Features,
SCIA07(542-552).
Springer DOI 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 and color,
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 rational function models for weak stereo geometry,
PandRS(108), No. 1, 2015, pp. 172-182.
Elsevier DOI 1511
Positioning accuracy BibRef

Pieczonka, T.[Tino], Bolch, T.[Tobias], Buchroithner, M.F.[Manfred F.],
Generation and evaluation of multitemporal digital terrain models of the Mt. Everest area from different optical sensors,
PandRS(66), No. 6, November 2011, pp. 927-940.
Elsevier DOI 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
BibRef

Küpçü, E.[Emel], Yemez, Y.[Yücel],
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, Sensors, Shape. BibRef

Adebar, T.K., Yip, M.C., Salcudean, S.E., Rohling, R.N., Nguan, C.Y., Goldenberg, S.L.,
Registration of 3D Ultrasound Through an Air-Tissue Boundary,
MedImg(31), No. 11, November 2012, pp. 2133-2142.
IEEE DOI 1211
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Yip, M.C., Lowe, D.G., Salcudean, S.E., Rohling, R.N., Nguan, C.Y.,
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], Huang, P.[Peng], Klaudiny, M.[Martin], Hilton, A.[Adrian],
Global Non-rigid Alignment of Surface Sequences,
IJCV(102), No. 1-3, March 2013, pp. 256-270.
WWW Link. 1303
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Earlier: A2, A1, A3, Only:
Global temporal registration of multiple non-rigid surface sequences,
CVPR11(3473-3480).
IEEE DOI 1106
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Kim, H.S.[Han-Sung], Hilton, A.[Adrian],
Hybrid 3D feature description and matching for multi-modal data registration,
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., Hilton, A.[Adrian],
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 Cluttered Scenes,
IJCV(102), No. 1-3, March 2013, pp. 129-145.
WWW Link. 1303
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Earlier: A2, A1, A3, A4:
A Non-cooperative Game for 3D Object Recognition in Cluttered Scenes,
3DIMPVT11(252-259).
IEEE DOI 1109
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Earlier: A2, A1, A4, Only:
Loosely Distinctive Features for Robust Surface Alignment,
ECCV10(V: 519-532).
Springer DOI 1009
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And: A2, A1, A4, Only:
A game-theoretic approach to fine surface registration without initial motion estimation,
CVPR10(430-437).
IEEE DOI 1006
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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 throughout unordered images,
ICPR16(3715-3720)
IEEE DOI 1705
Feature extraction, Game theory, Games, Pattern matching, Sociology, Statistics, Three-dimensional, displays BibRef

Pistellato, M.[Mara], Albarelli, A.[Andrea], Bergamasco, F.[Filippo], Torsello, A.[Andrea],
Robust joint selection of camera orientations and feature projections over multiple views,
ICPR16(3703-3708)
IEEE DOI 1705
3D reconstruction from multiple views. Cameras, Labeling, Reliability, Sociology, Statistics, Transforms BibRef

Rodola, E.[Emanuele], Harada, T.[Tatsuya], Kuniyoshi, Y.[Yasuo], Cremers, D.[Daniel],
Efficient Shape Matching using Vector Extrapolation,
BMVC13(xx-yy).
DOI Link 1402
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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
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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 Volume Registration,
IEICE(E96-D), No. 4, April 2013, pp. 826-835.
WWW Link. 1304
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Lague, D.[Dimitri], Brodu, N.[Nicolas], Leroux, J.[Jérôme],
Accurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (N-Z),
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 Regularization: A Method for Precise Surface Matching,
PAMI(35), No. 9, 2013, pp. 2143-2160.
IEEE DOI 1307
Brain surfaces. BibRef

Cho, J.C.[Jung-Chan], Lee, M.S.[Min-Sik], Choi, C.H.[Chong-Ho], Oh, S.H.[Song-Hwai],
EM-GPA: Generalized Procrustes analysis with hidden variables for 3D shape modeling,
CVIU(117), No. 11, 2013, pp. 1549-1559.
Elsevier DOI 1309
Shape alignment BibRef

Zeng, S.,
An Object-Tracking Algorithm for 3-D Range Data Using Motion and Surface Estimation,
ITS(14), No. 3, 2013, pp. 1109-1118.
IEEE DOI 1309
3-D surface registration BibRef

Garcia, F.[Frederic], Aouada, D.[Djamila], Solignac, T., Mirbach, B.[Bruno], Ottersten, B.[Bjorn],
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

Garcia, F.[Frederic], Mirbach, B.[Bruno], Ottersten, B.[Bjorn], Grandidier, F.[Frederic], Cuesta, A.[Angel],
Pixel weighted average strategy for depth sensor data fusion,
ICIP10(2805-2808).
IEEE DOI 1009
BibRef

Liu, Y.H.[Yong-Huai], Martin, R.R.[Ralph R.], de Dominicis, L.[Luigi], Li, B.H.[Bai-Hua],
Using retinex for point selection in 3D shape registration,
PR(47), No. 6, 2014, pp. 2126-2142.
Elsevier DOI 1403
Retinex BibRef

Song, R.[Ran], Liu, Y.H.[Yong-Huai], Martin, R.R.[Ralph R.], Rosin, P.L.[Paul L.],
Scan integration as a labelling problem,
PR(47), No. 8, 2014, pp. 2768-2782.
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 Range Images,
ISVC10(I: 644-653).
Springer DOI 1011
Integration BibRef

Zhou, H.[Hong], Liu, Y.H.[Yong-Huai],
Accurate integration of multi-view range images using k-means clustering,
PR(41), No. 1, January 2008, pp. 152-175.
Elsevier DOI 0710
3D modelling; Registered range images; k-Means clustering; Point shift; Overlapping area detection and integration; Surface details BibRef

Liu, Y.H.[Yong-Huai], Liu, H.H.[Hong-Hai], Martin, R.R.[Ralph R.], de Dominicis, L.[Luigi], Song, R.[Ran], Zhao, Y.T.[Yi-Tian],
Accurately estimating rigid transformations in registration using a boosting-inspired mechanism,
PR(60), No. 1, 2016, pp. 849-862.
Elsevier DOI 1609
Feature extraction BibRef

Lui, L., Wen, C.,
Geometric Registration of High-Genus Surfaces,
SIIMS(7), No. 1, 2014, pp. 337-365.
DOI Link 1404
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Bonarrigo, F.[Francesco], Signoroni, A.[Alberto],
Global registration of large collections of range images with an improved Optimization-on-a-Manifold approach,
IVC(32), No. 6-7, 2014, pp. 437-451.
Elsevier DOI 1406
Global registration BibRef

Bonarrigo, F.[Francesco], Signoroni, A.[Alberto], Leonardi, R.[Riccardo],
A robust pipeline for rapid feature-based pre-alignment of dense range scans,
ICCV11(2260-2267).
IEEE DOI 1201
BibRef
Earlier: A1, A2:
An Enhanced 'Optimization-on-a-Manifold' Framework for Global Registration of 3D Range Data,
3DIMPVT11(350-357).
IEEE DOI 1109
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Altantsetseg, E.[Enkhbayar], Matsuyama, K.[Katsutsugu], Konno, K.[Kouichi],
Pairwise matching of 3D fragments using fast fourier transform,
VC(30), No. 6-8, June 2014, pp. 929-938.
WWW Link. 1407
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Gruslys, A., Acosta-Cabronero, J., Nestor, P.J., Williams, G.B., Ansorge, R.E.,
A New Fast Accurate Nonlinear Medical Image Registration Program Including Surface Preserving Regularization,
MedImg(33), No. 11, November 2014, pp. 2118-2127.
IEEE DOI 1411
graphics processing units BibRef

Restrepo, M.I.[Maria I.], Ulusoy, A.O.[Ali O.], Mundy, J.L.[Joseph L.],
Evaluation of feature-based 3-d registration of probabilistic volumetric scenes,
PandRS(98), No. 1, 2014, pp. 1-18.
Elsevier DOI 1411
Probabilistic 3-d modeling BibRef

Terzakis, G.[George], Culverhouse, P.F.[Phil F.], Bugmann, G.[Guido], Sutton, R.[Robert],
Fitting multiple projective models using clustering-based Markov chain Monte Carlo inference,
IVC(33), No. 1, 2015, pp. 15-25.
Elsevier DOI 1412
Multiple model fitting (CSAMMFIT). Model data points in terms of projective relationships in two views. projections of 3 dimensional (3D) points. BibRef

Potesil, V.[Vaclav], Kadir, T.[Timor], Platsch, G.[Günther], Sir Brady, M.[Michael],
Personalized Graphical Models for Anatomical Landmark Localization in Whole-Body Medical Images,
IJCV(111), No. 1, January 2015, pp. 29-49.
Springer DOI 1502
BibRef
Earlier:
Improved Landmark Localization in Medical Images Using Dense Matching of Graphical Models,
BMVC10(xx-yy).
HTML Version. 1009

See also Learning New Parts for Landmark Localization in Whole-Body CT Scans. BibRef

Qu, L.[Lei], Long, F.H.[Fu-Hui], Peng, H.C.[Han-Chuan],
3-D Registration of Biological Images and Models: Registration of microscopic images and its uses in segmentation and annotation,
SPMag(32), No. 1, January 2015, pp. 70-77.
IEEE DOI 1502
bioinformatics BibRef

Hu, L.J.[Lin-Jia], Nooshabadi, S.[Saeid],
G-SHOT: GPU accelerated 3D local descriptor for surface matching,
JVCIR(30), No. 1, 2015, pp. 343-349.
Elsevier DOI 1507
3D Object local descriptor BibRef

Shtern, A.[Alon], Kimmel, R.[Ron],
Spectral gradient fields embedding for nonrigid shape matching,
CVIU(140), No. 1, 2015, pp. 21-29.
Elsevier DOI 1509
Correspondence BibRef

Shtern, A.[Alon], Sela, M.[Matan], Kimmel, R.[Ron],
Fast Blended Transformations for Partial Shape Registration,
JMIV(60), No. 6, July 2018, pp. 913-928.
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Evangelidis, G.D.[Georgios D.], Hansard, M.[Miles], 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 seed growing,
CVPR11(2481-2488).
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],
Projective alignment of range and parallax data,
CVPR11(3089-3096).
IEEE DOI 1106
BibRef

Hachani, M., Zaid, A.O.[A. Ouled], Puech, W.,
Global three-dimensional-mesh indexing based on structural analysis and geometrical signatures,
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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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], Thompson, R.[Robert],
Automatic Reassembly of Three-Dimensional Jigsaw Puzzles,
IJIG(16), No. 02, 2016, pp. 1650009.
DOI Link 1605
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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 registration,
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 outliers,
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 objects,
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
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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 resonance imaging,
SIViP(11), No. 3, March 2017, pp. 455-462.
WWW Link. 1702
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Song, H.J.[Hua-Jun], Qiu, P.H.[Pei-Hua],
Three-dimensional image registration using distributed parallel computing,
IET-IPR(12), No. 10, October 2018, pp. 1713-1720.
DOI Link 1809
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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 estimation approach for 3D model registration,
MVA(29), No. 3, April 2018, pp. 375-391.
WWW Link. 1804
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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 BibRef

Bernard, F.[Florian], Thunberg, J.[Johan], Goncalves, J.[Jorge], Theobalt, C.[Christian],
Synchronisation of partial multi-matchings via non-negative factorisations,
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
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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 1906
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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
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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
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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


Farazi, M.[Mohammad], Zhu, W.H.[Wen-Hui], Yang, Z.[Zhangsihao], Wang, Y.L.[Ya-Lin],
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence,
WACV23(3145-3154)
IEEE DOI 2302
Shape, Computational modeling, Benchmark testing, Feature extraction, Robustness, Algorithms: 3D computer vision, Visualization 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 BibRef

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
BibRef

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 BibRef

Zeng, W.[Wei], Yang, Y.J.[Yi-Jun], Razib, M.,
Graph-Constrained Surface Registration Based on Tutte Embedding,
WBIR16(516-523)
IEEE DOI 1612
BibRef
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], Liu, W.Q.[Wan-Quan], Li, L.[Ling],
Unsupervised manifold alignment using soft-assign technique,
MVA(27), No. 5, August 2016, pp. 929-942.
WWW Link. 1609
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Earlier:
Unsupervised iterative manifold alignment via local feature histograms,
WACV14(572-579)
IEEE DOI 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 Matching,
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 BibRef

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 BibRef

Mavadati, S.M., Mahoor, M.H., Zhang, X.[Xiao],
Manifold alignment using curvature information,
IVCNZ13(59-64)
IEEE DOI 1402
geometry BibRef

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 BibRef

Suominen, O.[Olli], Gotchev, A.[Atanas],
Circular trajectory correspondences for iterative closest point registration,
3DTV-CON13(1-4)
IEEE DOI 1309
Convergence BibRef

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 BibRef

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 BibRef

Somanath, G., Cohen, S., Price, B.L., Kambhamettu, C.,
Stereo+Kinect for High Resolution Stereo Correspondences,
3DV13(9-16)
IEEE DOI 1311
cameras BibRef

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
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Jiang, H.[Hao],
Finding Approximate Convex Shapes in RGBD Images,
ECCV14(III: 582-596).
Springer DOI 1408
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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
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Nagase, M.[Masanobu], Akizuki, S.[Shuichi],
3-D Feature Point Matching for Object Recognition Based on Estimation of Local Shape Distinctiveness,
CAIP13(473-481).
Springer DOI 1308
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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
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Bronstein, A.M., Bronstein, M.M., 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], Bronstein, A.M.[Alex M.],
Parallelized Algorithms For Rigid Surface Alignment On GPU,
3DOR12(17-23)
DOI Link 1301
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Fantoni, S.[Simone], Castellani, U.[Umberto], Fusiello, A.[Andrea],
Accurate and Automatic Alignment of Range Surfaces,
3DIMPVT12(73-80).
IEEE DOI 1212
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Yang, Y.[Ying], Günther, D.[David], Wuhrer, S.[Stefanie], Brunton, A.[Alan], Ivrissimtzis, I.[Ioannis], Seidel, H.P.[Hans-Peter], Weinkauf, T.[Tino],
Correspondences of Persistent Feature Points on Near-Isometric Surfaces,
NORDIA12(I: 102-112).
Springer DOI 1210
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Nair, R.[Rahul], Lenzen, F.[Frank], Meister, S.[Stephan], Schäfer, H.[Henrik], Garbe, C.[Christoph], Kondermann, D.[Daniel],
High Accuracy TOF and Stereo Sensor Fusion at Interactive Rates,
CDC4CV12(II: 1-11).
Springer DOI 1210
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Li, S.[Shuai], Zhao, Q.P.[Qin-Ping], Wang, S.[Shengfa], Hou, T.B.[Ting-Bo], Hao, A.[Aimin], Qin, H.[Hong],
A Novel Material-Aware Feature Descriptor for Volumetric Image Registration in Diffusion Tensor Space,
ECCV12(IV: 502-515).
Springer DOI 1210
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Schroers, C.[Christopher], Zimmer, H.[Henning], Valgaerts, L.[Levi], Bruhn, A.[Andrés], Demetz, O.[Oliver], Weickert, J.[Joachim],
Anisotropic Range Image Integration,
DAGM12(73-82).
Springer DOI 1209
Award, GCPR, HM. BibRef

Lamovsky, D.[Denis],
Semi-variational Registration of Range Images by Non-rigid Deformations,
ACIVS12(349-360).
Springer DOI 1209
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Jaw, J.J., Chuang, T.Y.,
3-D Feature-based Matching by RSTG Approach,
AnnalsPRS(I-3), No. 2012, pp. 123-128.
DOI Link 1209
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Zuo, Z.Q., Liu, Z.J., Zhang, L., Tuermer, S.,
General Mathematical Model of Least Squares 3D Surface Matching and Its Application of Strip Adjustment,
ISPRS12(XXXIX-B3:205-210).
DOI Link 1209
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da Silva, J.P.[Juarez Paulino], Borges, D.L.[Dibio Leandro], de Barros Vidal, F.[Flavio],
A dynamic approach for approximate pairwise alignment based on 4-points congruence sets of 3D points,
ICIP11(889-892).
IEEE DOI 1201
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He, L.[Lulu], Wang, S.[Sen], Pappas, T.N.[Thrasyvoulos N.],
3D surface registration using Z-SIFT,
ICIP11(1985-1988).
IEEE DOI 1201
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Yu, X.P.[Xiao-Ping], Liu, T.[Tong], Li, P.X.[Ping-Xiang], Huang, G.[Guoman],
The Application of Improved SIFT Algorithm in High Resolution SAR Image Matching in Mountain Areas,
ISIDF11(1-4).
IEEE DOI 1111
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Gan, L.[Lin], Agam, G.[Gady],
Efficient nonlinear DTI registration using DCT basis functions,
NORDIA11(17-22).
IEEE DOI 1106
Tomography BibRef

Zeng, W.[Wei], Gu, X.F.D.[Xian-Feng David],
Registration for 3D surfaces with large deformations using quasi-conformal curvature flow,
CVPR11(2457-2464).
IEEE DOI 1106
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Kokiopoulou, E.[Effrosyni], Kressner, D.[Daniel], Zervos, M.[Michail], Paragios, N.[Nikos],
Optimal similarity registration of volumetric images,
CVPR11(2449-2456).
IEEE DOI 1106
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Yao, J.[Jian], Ruggeri, M.R.[Mauro R.], Taddei, P.[Pierluigi], Sequeira, V.[Vitor],
Robust range image registration using 3D lines,
ICIP10(4321-4324).
IEEE DOI 1009
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Dubrovina, A.[Anastasia], Kimmel, R.[Ron],
Matching shapes by eigendecomposition of the Laplace-Beltrami operator,
3DPVT10(xx-yy).
WWW Link. 1005
Correspondences for non-rigid shapes (3D). BibRef

Yoon, K.J.[Kuk-Jin], Shin, M.G.[Min-Gil],
Reducing Ambiguity in Object Recognition Using Relational Information,
ACCV10(IV: 293-306).
Springer DOI 1011
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Yoon, K.J.[Kuk-Jin], Shin, M.G.[Min-Gil], Lee, J.H.[Ji-Hyo],
Recognizing 3D Objects with 3D Information from Stereo Vision,
ICPR10(4020-4023).
IEEE DOI 1008
Local features in stereo BibRef

Wang, Y.M.[Yi-Ming], Lu, T.[Tong], Gao, R.J.[Rong-Jun], Liu, W.Y.[Wen-Yin],
3D Model Comparison through Kernel Density Matching,
ICPR10(3159-3162).
IEEE DOI 1008
3D matching BibRef

Seversky, L.M.[Lee M.], Yin, L.J.[Li-Jun],
Scalable Cage-Driven Feature Detection and Shape Correspondence for 3D Point Sets,
ICPR10(3557-3560).
IEEE DOI 1008
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Pan, X.[Xiang], Shapiro, L.G.[Linda G.],
3D shape isometric correspondence by spectral assignment,
ICPR12(2210-2213).
WWW Link. 1302
principal eigenvector of the pairwise correspondence matrix BibRef

Chen, J.H.[Jiun-Hung], Zheng, K.C.[Ke Colin], Shapiro, L.G.[Linda G.],
3D Point Correspondence by Minimum Description Length in Feature Space,
ECCV10(III: 621-634).
Springer DOI 1009
BibRef

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], Van Gool, L.J.[Luc J.],
Elastic convolved ICP for the registration of deformable objects,
3DIM09(1558-1565).
IEEE DOI 0910
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Li, X.K.[Xiao-Kun], Wee, W.G.[William G.],
Overlap elimination for registered range images,
ICIP09(4297-4300).
IEEE DOI 0911
BibRef

Chen, Y.W.[Yen-Wei], Mimori, A.[Aya], Lin, C.L.[Chen-Lun],
Hybrid particle swarm optimization for 3-D image registration,
ICIP09(1753-1756).
IEEE DOI 0911
BibRef

Xiao, P.D.[Peng-Dong], Barnes, N.M.[Nick M.], Lieby, P.[Paulette], Caetano, T.S.[Tiberio S.],
Applying Sum and Max Product Algorithms of Belief Propagation to 3D Shape Matching and Registration,
DICTA09(387-394).
IEEE DOI 0912
BibRef

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 Curvature,
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], Mio, W.[Washington],
Kernel functions for robust 3D surface registration with spectral embeddings,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Dong, X.[Xiao], Zheng, G.[Guoyan],
Automatic Mutual Nonrigid Registration of Dense Surfaces by Graphical Model Based Inference,
SSPR08(694-704).
Springer DOI 0812
BibRef

Chibunichev, A.G., Velizhev, A.B.,
Automatic Matching of Terrestrial Scan Data Using Orientation Histograms,
ISPRS08(B5: 601 ff).
PDF File. 0807
BibRef

Luo, X.M.[Xiao-Man], Huang, G.M.[Guo-Man], Pang, L.[Lei], Zhao, Z.[Zheng],
Study on Airborne SAR Image Matching Using Epipolar,
ISPRS08(B1: 399 ff).
PDF File. 0807
BibRef

Li, Z.X.[Zheng-Xiao], Bethel, J.S.[James S.],
DEM Registration, Alignment and Evaluation for SAR Interferometry,
ISPRS08(B1: 111 ff).
PDF File. 0807
BibRef
And:
Image Coregistration in SAR Interferometry,
ISPRS08(B1: 433 ff).
PDF File. 0807
BibRef

Liu, J.Z.[Jing-Zheng], Yu, X.C.[Xu-Chu],
Research on SAR Image Matching Technology based on SIFT,
ISPRS08(B1: 403 ff).
PDF File. 0807
BibRef

Li, F.T.[Fang-Ting], Zhang, G.[Guo], Yan, J.[Jun],
Coregistration Based on SIFT Algorithm for Synthetic Aperture Radar Interferometry,
ISPRS08(B1: 123 ff).
PDF File. 0807
BibRef

Pellegrini, S., Schindler, K., Nardi, D.,
A Generalisation of the ICP Algorithm for Articulated Bodies,
BMVC08(xx-yy).
PDF File. 0809
BibRef

Vedaldi, A.[Andrea], Soatto, S.[Stefano],
Relaxed matching kernels for robust image comparison,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Vedaldi, A.[Andrea], and Fulkerson, B.[Brian],
VLFeat,
2005 Code, SIFT. Award, PAMI Everingham, 2015.
WWW Link. BibRef

Vedaldi, A.[Andrea], Guidi, G.[Gregorio], Soatto, S.[Stefano],
Joint data alignment up to (lossy) transformations,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Li, H.D.[Hong-Dong], Hartley, R.I.[Richard I.],
The 3D-3D Registration Problem Revisited,
ICCV07(1-8).
IEEE DOI 0710
BibRef

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). BibRef

Zheng, E.[Enliang], Dunn, E.[Enrique], Raguram, R.[Rahul], Frahm, J.M.[Jan-Michael],
Efficient and Scalable Depthmap Fusion,
BMVC12(34).
DOI Link 1301
BibRef

Weder, S., Schönberger, J., Pollefeys, M., Oswald, M.R.,
RoutedFusion: Learning Real-Time Depth Map Fusion,
CVPR20(4886-4896)
IEEE DOI 2008
Real-time systems, Noise measurement, Standards, Routing, Surface reconstruction, Pollution measurement BibRef

Merrell, P.[Paul], Akbarzadeh, A.[Amir], Wang, L.[Liang], Mordohai, P.[Philippos], Frahm, J.M.[Jan-Michael], Yang, R.G.[Rui-Gang], Nister, D.[David], Pollefeys, M.[Marc],
Real-Time Visibility-Based Fusion of Depth Maps,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Sakakubara, S.[Shizu], Kounoike, Y.[Yuusuke], Shinano, Y.[Yuji], Shimizu, I.[Ikuko],
Automatic Range Image Registration Using Mixed Integer Linear Programming,
ACCV07(II: 424-434).
Springer DOI 0711
BibRef

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,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Qiu, D.Y.[De-Yuan], May, S.[Stefan], Nüchter, A.[Andreas],
GPU-Accelerated Nearest Neighbor Search for 3D Registration,
CVS09(194-203).
Springer DOI 0910
BibRef

Nuchter, A.[Andreas], Lingemann, K.[Kai], Hertzberg, J.[Joachim],
Cached K-D tree search for ICP algorithms,
3DIM07(419-426).
IEEE DOI 0708
BibRef

Phillips, J.M.[Jeff M.], Liu, R.[Ran], Tomasi, C.[Carlo],
Outlier Robust ICP for Minimizing Fractional RMSD,
3DIM07(427-434).
IEEE DOI 0708
BibRef

Park, S.Y.[Soon-Yong], Baek, J.W.[Jae-Won],
Online Registration of Multi-view Range Images using Geometric and Photometric Feature Tracking,
3DIM07(281-288).
IEEE DOI 0708
BibRef

Furukawa, R.[Ryo], Itano, T.[Tomoya], Morisaka, A.[Akihiko], Kawasaki, H.[Hiroshi],
Shape-merging and interpolation using class estimation for unseen voxels with a GPU-based efficient implementation,
3DIM07(289-296).
IEEE DOI 0708

See also Shape Reconstruction and Camera Self-Calibration Using Cast Shadows and Scene Geometries. BibRef

Amberg, B.[Brian], Vetter, T.[Thomas],
Optimal landmark detection using shape models and branch and bound,
ICCV11(455-462).
IEEE DOI 1201
Fitting 2D and 3D models to images. Distinct interest points. BibRef

Amberg, B.[Brian], Blake, A.[Andrew], Vetter, T.[Thomas],
On compositional Image Alignment, with an application to Active Appearance Models,
CVPR09(1714-1721).
IEEE DOI 0906
BibRef

Amberg, B.[Brian], Romdhani, S.[Sami], Vetter, T.[Thomas],
Optimal Step Nonrigid ICP Algorithms for Surface Registration,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Chen, C.C.[Cecilia Chao], Stamos, I.[Ioannis],
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
BibRef

Branch, J.W.[John Willian], Prieto, F.[Flavio], Boulanger, P.[Pierre],
Robust Three-Dimensional Registration of Range Images Using a New Genetic Algorithm,
GMP06(528-535).
Springer DOI 0607
BibRef

von Hansen, W.[Wolfgang],
Robust Automatic Marker-free Registration of Terrestrial Scan Data,
PCV06(xx-yy).
PDF File. 0609
BibRef

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
BibRef

Ferreira, J.F.[João Filipe], Dias, J.[Jorge],
Three-Dimensional Planar Profile Registration in 3D Scanning,
ICIAR05(617-624).
Springer DOI 0509
BibRef

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
BibRef

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
BibRef

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 .


Last update:Nov 26, 2024 at 16:40:19