12.3.4.1.7 Register 3-D Surfaces, Mesh Models

Chapter Contents (Back)
Registration, 3-D. Surface Matching. Matching, Surfaces. Mesh Registration. Registration. 3-D.

Pilgrim, L.,
Robust Estimation Applied to Surface Matching,
PandRS(51), No. 5, October 1996, pp. 243-257. 9611
BibRef

Meek, D.S., Walton, D.J.,
Comparison of Smooth Polynomial Functional Surfaces for Use in Alignment,
IVC(15), No. 7, July 1997, pp. 529-534.
Elsevier DOI 9708
BibRef

Ristic, M.[Mihailo], Brujic, D.[Djordje], Ristic, M., Brujic, D.,
Efficient Registration of Nurbs Geometry,
IVC(15), No. 12, December 1997, pp. 925-935.
Elsevier DOI 9802
BibRef
Earlier: A2, A1:
Analysis of Free Form Surface Registration,
ICIP96(II: 393-396).
IEEE DOI BibRef

Johnson, A.E.[Andrew Edie], Hebert, M.[Martial],
Surface Matching for Object Recognition in Complex 3-Dimensional Scenes,
IVC(16), No. 9-10, July 1998, pp. 635-651.
Elsevier DOI 9808
BibRef
Earlier:
Surface Registration by Matching Oriented Points,
3DIM97(4 - View Registration) 9702
BibRef

Johnson, A.E.[Andrew Edie], Hebert, M.[Martial],
Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes,
PAMI(21), No. 5, May 1999, pp. 433-449.
IEEE DOI BibRef 9905
Earlier:
Efficient Multiple Model Recognition in Cluttered 3-d Scenes,
CVPR98(671-677).
IEEE DOI BibRef
And:
Recognizing Objects by Matching Oriented Points,
CVPR97(684-689).
IEEE DOI 9704
BibRef
And: DARPA97(1207-1218). BibRef
And: CMU-RI-TR-96-04, May 1996. No feature extraction or segmentation needed. Geometric hashing and structural indexing combined for free form objects using 3-D data. The spin image is a representation for a surface mesh representation. BibRef

Johnson, A.E.[Andrew E.],
Surface Landmark Selection and Matching in Natural Terrain,
CVPR00(II: 413-420).
IEEE DOI 0005
Position from landmarks BibRef

Marques, J.S.[Jorge S.],
A fuzzy algorithm for curve and surface alignment,
PRL(19), No. 9, 31 July 1998, pp. 797-803. BibRef 9807

Fischer, D.[Daniel], Kohlhepp, P.[Peter], Bulling, F.[Frank],
An evolutionary algorithm for the registration of 3-d surface representations,
PR(32), No. 1, January 1999, pp. 53-69.
Elsevier DOI
See also Intrinsic line features and contour metric for locating 3-D objects in sparse, segmented range images. BibRef 9901

Fischer, D.[Daniel], Kohlhepp, P.[Peter],
Towards Reliable Fusion of Segmented Surface Descriptions,
CVPR00(II: 405-412).
IEEE DOI 0005
BibRef

Kohlhepp, P.[Peter],
Reconstruction and recognition of boundary representations from range images in SOMBRERO,
ICIP94(I: 496-500).
IEEE DOI 9411
BibRef

Gabrani, M.[Maria], Tretiak, O.J.[Oleh J.],
Surface-based matching using elastic transformations,
PR(32), No. 1, January 1999, pp. 87-97.
Elsevier DOI BibRef 9901

Ding, L., Goshtasby, A.A., Satter, M.,
Volume image registration by template matching,
IVC(19), No. 12, October 2001, pp. 821-832.
Elsevier DOI 0110
Cubic or spherical sub volumes. BibRef

Zhu, Y.M.[Yang-Ming],
Volume image registration by cross-entropy optimization,
MedImg(21), No. 2, February 2002, pp. 174-180.
IEEE Top Reference. 0204
BibRef

Yamany, S.M.[Sameh M.], Farag, A.A.[Aly A.],
Surfacing Signatures: An Orientation Independent Free-Form Surface Representation Scheme for the Purpose of Objects Registration and Matching,
PAMI(24), No. 8, August 2002, pp. 1105-1120.
IEEE Abstract. 0208
BibRef
Earlier:
3D Objects Coding and Recognition Using Surface Signatures,
ICPR00(Vol IV: 571-574).
IEEE DOI 0009
BibRef
Earlier:
Free-Form Surface Registration using Surface Signatures,
ICCV99(1098-1104).
IEEE DOI Capture curvature at certain points. Signatures from that. BibRef

Yamany, S.M.[Sameh M.], Farag, A.A.[Aly A.],
Adaptive object identification and recognition using neural networks and surface signatures,
AVSBS03(137-142).
IEEE DOI 0310
BibRef

Yamany, S.,
Coding of 3d Objects Using Surface Signatures,
ICIP00(Vol III: 628-631).
IEEE DOI 0008
BibRef

Yamany, S.M., Ahmed, M.N., Hemayed, E.E., Farag, A.A.,
Novel surface registration using the grid closest point (GCP) transform,
ICIP98(III: 809-813).
IEEE DOI 9810
BibRef

Yamany, S.M.[Sameh M.], Farag, A.A.[Aly A.], El-Bialy, A.M.[Ahmed M.],
Free-Form Object Recognition and Registration Using Surface Signatures,
ICIP99(II:457-461).
IEEE DOI BibRef 9900

Park, I.K.[In Kyu], Lee, K.M.[Kyoung Mu], Lee, S.U.[Sang Uk],
Efficient Measurement of Shape Dissimilarity Between 3D Models Using Z-Buffer and Surface Roving Method,
JASP(2002), No. 10, October 2002, pp. 1127-1134.
WWW Link. 0211
BibRef

Chang, J.Y.[Ju Yong], Lee, K.M.[Kyoung Mu], Lee, S.U.[Sang Uk],
Multiview normal field integration using level set methods,
MultiView07(1-8).
IEEE DOI 0706
BibRef

Krsek, P.[Pavel], Pajdla, T.[Tomás], Hlavá, V.[Václav],
Differential Invariants as the Base of Triangulated Surface Registration,
CVIU(87), No. 1-3, July 2002, pp. 27-38.
DOI Link 0301
Points to differential structures to surface. BibRef

Kukelova, Z.[Zuzana], Bujnak, M.[Martin], Heller, J.[Jan], Pajdla, T.[Tomáš],
Singly-Bordered Block-Diagonal Form for Minimal Problem Solvers,
ACCV14(II: 488-502).
Springer DOI 1504
BibRef

Kukelova, Z.[Zuzana], Heller, J.[Jan], Bujnak, M.[Martin], Pajdla, T.[Tomas],
Radial distortion homography,
CVPR15(639-647)
IEEE DOI 1510
BibRef

Kukelova, Z.[Zuzana], Bujnak, M.[Martin], Pajdla, T.[Tomas],
Real-Time Solution to the Absolute Pose Problem with Unknown Radial Distortion and Focal Length,
ICCV13(2816-2823)
IEEE DOI 1403
BibRef
Earlier: A2, A1, A3:
New Efficient Solution to the Absolute Pose Problem for Camera with Unknown Focal Length and Radial Distortion,
ACCV10(I: 11-24).
Springer DOI 1011
3D reconstruction; absolute pose; focal length; radial distortion BibRef

Kukelova, Z.[Zuzana], Albl, C.[Cenek], Sugimoto, A.[Akihiro], Schindler, K.[Konrad], Pajdla, T.[Tomas],
Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion,
ECCV20(V:698-714).
Springer DOI 2011
BibRef

Kukelova, Z.[Zuzana], Bujnak, M.[Martin], Pajdla, T.[Tomas],
Polynomial Eigenvalue Solutions to Minimal Problems in Computer Vision,
PAMI(34), No. 7, July 2012, pp. 1381-1393.
IEEE DOI 1205
BibRef
Earlier:
Closed-Form Solutions to Minimal Absolute Pose Problems with Known Vertical Direction,
ACCV10(II: 216-229).
Springer DOI 1011
BibRef
Earlier:
Polynomial Eigenvalue Solutions to the 5-pt and 6-pt Relative Pose Problems,
BMVC08(xx-yy).
PDF File. 0809
Solving systems of polynomial equations. Compared to Gröbner basis methods. BibRef

Kukelova, Z.[Zuzana], Albl, C.[Cenek], Sugimoto, A.[Akihiro], Pajdla, T.[Tomas],
Linear Solution to the Minimal Absolute Pose Rolling Shutter Problem,
ACCV18(III:265-280).
Springer DOI 1906
BibRef

Albl, C.[Cenek], Kukelova, Z.[Zuzana], Pajdla, T.[Tomas],
Rolling Shutter Absolute Pose Problem with Known Vertical Direction,
CVPR16(3355-3363)
IEEE DOI 1612
BibRef
Earlier:
R6P: Rolling shutter absolute pose problem,
CVPR15(2292-2300)
IEEE DOI 1510
Rolling shutter in digital cameras BibRef

Hemmendorff, M., Andersson, M.T., Kronander, T., Knutsson, H.,
Phase-based multidimensional volume registration,
MedImg(21), No. 12, December 2002, pp. 1536-1543.
IEEE Top Reference. 0301
BibRef

Chow, C.K.[Chi Kin], Tsui, H.T.[Hung Tat], Lee, T.[Tong],
Surface registration using a dynamic genetic algorithm,
PR(37), No. 1, January 2004, pp. 105-117.
Elsevier DOI 0311
BibRef

Planitz, B.M., Maeder, A.J., Williams, J.A.,
The correspondence framework for 3D surface matching algorithms,
CVIU(97), No. 3, March 2005, pp. 347-383.
Elsevier DOI 0412
For analysis of matching algorithms. BibRef

Thurley, M.J.[Matthew J.], Ng, K.C.[Kim C.],
Identifying, visualizing, and comparing regions in irregularly spaced 3D surface data,
CVIU(98), No. 2, May 2005, pp. 239-270.
Elsevier DOI 0501
BibRef

Liu, Y.,
Eliminating False Matches for the Projective Registration of Free-Form Surfaces With Small Translational Motions,
SMC-B(35), No. 3, June 2005, pp. 607-624.
IEEE DOI 0508
BibRef

Specht, A.R.[Andres Restrepo], Sappa, A.D.[Angel D.], Devy, M.[Michel],
Edge registration versus triangular mesh registration, a comparative study,
SP:IC(20), No. 9-10, October-November 2005, pp. 853-868.
Elsevier DOI 0510
BibRef

Pottmann, H.[Helmut], Huang, Q.X.[Qi-Xing], Yang, Y.L.[Yong-Liang], Hu, S.M.[Shi-Min],
Geometry and Convergence Analysis of Algorithms for Registration of 3D Shapes,
IJCV(67), No. 3, May 2006, pp. 277-296.
Springer DOI 0606
BibRef

Lomonosov, E.[Evgeny], Chetverikov, D.[Dmitry], Ekárt, A.[Anikó],
Pre-registration of arbitrarily oriented 3D surfaces using a genetic algorithm,
PRL(27), No. 11, August 2006, pp. 1201-1208.
Elsevier DOI 3D registration; Point sets; Data alignment; Genetic algorithms 0606

See also Photo-consistency based registration of an uncalibrated image pair to a 3D surface model using genetic algorithm. BibRef

Ben Hamza, A.[Abdessamad], Krim, H.,
Geodesic Matching of Triangulated Surfaces,
IP(15), No. 8, August 2006, pp. 2249-2258.
IEEE DOI 0606
BibRef
Earlier:
Probabilistic Shape Descriptor for Triangulated Surfaces,
ICIP05(I: 1041-1044).
IEEE DOI 0512
BibRef
Earlier:
Topological modeling of illuminated surfaces using REEB graph,
ICIP03(I: 769-772).
IEEE DOI 0312
BibRef
Earlier:
A topological variational model for image singularities,
ICIP02(I: 369-372).
IEEE DOI 0210
Topological features of the surfaces. BibRef

Tarmissi, K.[Khaled], Ben Hamza, A.[Abdessamad],
Geometric Mesh Denoising via Multivariate Kernel Diffusion,
MIRAGE09(23-33).
Springer DOI 0905
BibRef

Akca, D.[Devrim],
Matching of 3D surfaces and their intensities,
PandRS(62), No. 2, June 2007, pp. 112-121.
Elsevier DOI 0709
surface matching; least squares matching; point clouds; registration; laser scanning; intensity matching; attribute information BibRef

Shammaa, M.H.[M. Haitham], Suzuki, H.[Hiromasa], Michikawa, T.[Takashi],
Registration of CAD mesh models with CT volumetric model of assembly of machine parts,
VC(23), No. 12, December 2007, pp. 965-974.
Springer DOI 0712
BibRef

Munsell, B.C.[Brent C.], Dalal, P.[Pahal], Wang, S.[Song],
Evaluating Shape Correspondence for Statistical Shape Analysis: A Benchmark Study,
PAMI(30), No. 11, November 2008, pp. 2023-2039.
IEEE DOI 0809
Survey, Shape Matching. Create a set of synthetic shapes and apply matching. Gives 3 measures from Davies (
See also Learning Shape: Optimal Models for Analysing Natural Variability. ). Evaluate 5 techniques: Richardson and Wang (SDI) (
See also Nonrigid Shape Correspondence Using Landmark Sliding, Insertion and Deletion. ). Thodberg (T-MDL) (
See also Minimum Description Length Shape and Appearance Models. ) Karlsson and Ericsson (E-MDL) and (E-MDL+ curvature) and Euclidean Distance. (
See also Measures for Benchmarking of Automatic Correspondence Algorithms. ) BibRef

Dalal, P.[Pahal], Ju, L.[Lili], McLaughlin, M.[Michael], Zhou, X.R.[Xiang-Rong], Fujita, H.[Hiroshi], Wang, S.[Song],
3D Open-surface Shape Correspondence for Statistical Shape Modeling: Identifying Topologically Consistent Landmarks,
ICCV09(1857-1864).
IEEE DOI
PDF File. 0909
BibRef

Dalal, P.[Pahal], Munsell, B.C.[Brent C.], Wang, S.[Song], Tang, J.J.[Ji-Jun], Oliver, K.[Kenton], Ninomiya, H.[Hiroaki], Zhou, X.R.[Xiang-Rong], Fujita, H.[Hiroshi],
A Fast 3D Correspondence Method for Statistical Shape Modeling,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Munsell, B.C.[Brent C.], Temlyakov, A.[Andrew], Styner, M.[Martin], Wang, S.[Song],
Pre-organizing Shape Instances for Landmark-Based Shape Correspondence,
IJCV(97), No. 2, April 2012, pp. 210-228.
WWW Link. 1203
BibRef

Temlyakov, A.[Andrew], Munsell, B.C.[Brent C.], Waggoner, J.W.[Jarrell W.], Wang, S.[Song],
Two perceptually motivated strategies for shape classification,
CVPR10(2289-2296).
IEEE DOI 1006
BibRef

Temlyakov, A.[Andrew], Dalal, P., Waggoner, J.W., Salvi, D., Wang, S.[Song],
Shape and image retrieval by organizing instances using population cues,
WACV13(303-308).
IEEE DOI 1303
BibRef

Munsell, B.C.[Brent C.], Temlyakov, A.[Andrew], Wang, S.[Song],
Fast multiple shape correspondence by pre-organizing shape instances,
CVPR09(840-847).
IEEE DOI 0906
BibRef

Lo, T.W.R.[Tsz-Wai Rachel], Siebert, J.P.[J. Paul],
Local feature extraction and matching on range images: 2.5D SIFT,
CVIU(113), No. 12, Decmeber 2009, pp. 1235-1250.
Elsevier DOI 0911
BibRef
Earlier:
SIFT Keypoint Descriptors for Range Image Analysis,
BMVA(2008), No. 3, 2008, pp. 1-17.
PDF File. 1209
Range images; Feature extraction; Point-based matching; SIFT Matching 3D points from extractions. BibRef

Strachan, E.[Euan], Siebert, J.P.[J. Paul],
A View Based Approach for Matching the 3D Appearance of Local Features,
ICIAR13(364-372).
Springer DOI 1307
BibRef

Horaud, R.[Radu], Forbes, F.[Florence], Yguel, M.[Manuel], Dewaele, G.[Guillaume], Zhang, J.[Jian],
Rigid and Articulated Point Registration with Expectation Conditional Maximization,
PAMI(33), No. 3, March 2011, pp. 587-602.
IEEE DOI 1102
Deal with outliers. Use anisotropic covariances instead of isotropic.
See also Hand Motion from 3D Point Trajectories and a Smooth Surface Model.
See also Human Motion Tracking by Registering an Articulated Surface to 3D Points and Normals. BibRef

Zaharescu, A.[Andrei], Boyer, E.[Edmond], Varanasi, K.[Kiran], Horaud, R.[Radu],
Surface feature detection and description with applications to mesh matching,
CVPR09(373-380).
IEEE DOI 0906
BibRef

Chang, M.C.[Ming-Ching], Kimia, B.B.[Benjamin B.],
Measuring 3D shape similarity by graph-based matching of the medial scaffolds,
CVIU(115), No. 5, May 2011, pp. 707-720.
Elsevier DOI 1103
BibRef
Earlier: Chang, M.C.[Ming-Ching], Kimia, B.B.[Benjamin B.],
Measuring 3D shape similarity by matching the medial scaffolds,
3DIM09(1473-1480).
IEEE DOI 0910
BibRef
And:
Regularizing 3D medial axis using medial scaffold transforms,
CVPR08(1-8).
IEEE DOI 0806
Medial axis; Medial scaffold; Transition; 3D shape similarity; Hypergraph matching; 3D shape matching; 3D shape retrieval BibRef

Chang, M.C.[Ming-Ching], Leymarie, F.F., Kimia, B.B.,
3D shape registration using regularized medial scaffolds,
3DPVT04(987-994).
IEEE DOI 0412
BibRef

Ion, A.[Adrian], Artner, N.M.[Nicole M.], Peyre, G.[Gabriel], Kropatsch, W.G.[Walter G.], Cohen, L.D.[Laurent D.],
Matching 2D and 3D articulated shapes using the eccentricity transform,
CVIU(115), No. 6, June 2011, pp. 817-834.
Elsevier DOI 1104
Eccentricity transform; Shape matching; Articulation; Geodesic distance
See also Multi-scale 2D tracking of articulated objects using hierarchical spring systems. BibRef

Ion, A.[Adrian], Haxhimusa, Y.[Yll], Kropatsch, W.G.[Walter G.],
An Improved Coordinate System for Point Correspondences of 2D Articulated Shapes,
DGCI09(92-103).
Springer DOI 0909
BibRef

Ion, A.[Adrian], Artner, N.M.[Nicole M.], Peyre, G.[Gabriel], Lopez Marmol, S.B.[Salvador B.], Kropatsch, W.G.[Walter G.], Cohen, L.D.[Laurent D.],
3D shape matching by geodesic eccentricity,
S3D08(1-8).
IEEE DOI 0806
BibRef

Bulatov, D.[Dimitri], Wernerus, P.[Peter], Heipke, C.[Christian],
Multi-view dense matching supported by triangular meshes,
PandRS(66), No. 6, November 2011, pp. 907-918.
Elsevier DOI 1112
Depth map; Matching; Multi-view; Semi-global; Triangle mesh BibRef

Agugiaro, G.[Giorgio], Kolbe, T.H.[Thomas H.],
A deterministic method to integrate triangular meshes of different resolution,
PandRS(71), No. 1, July 2012, pp. 96-109.
Elsevier DOI 1208
DSM; DTM; Multi-resolution data integration; Surface generation; Laser scanning BibRef

Creusot, C.[Clement], Pears, N.[Nick], Austin, J.[Jim],
A Machine-Learning Approach to Keypoint Detection and Landmarking on 3D Meshes,
IJCV(102), No. 1-3, March 2013, pp. 146-179.
WWW Link. 1303
detecting a sparse set of 3D mesh vertices, for use in matching BibRef

Abd el Munim, H.E.[Hossam E.], Farag, A.A.[Amal A.], Farag, A.A.[Aly A.],
Shape Representation and Registration in Vector Implicit Spaces: Adopting a Closed-Form Solution in the Optimization Process,
PAMI(35), No. 3, March 2013, pp. 763-768.
IEEE DOI 1303
shape registration problem, global and local deformations. BibRef

Abd el Munim, H.E.[Hossam E.], Farag, A.A.[Aly A.],
A Variational Approach for Shapes Registration Using Vector Maps,
ICIP06(337-340).
IEEE DOI 0610
BibRef

Abd el Munim, H.E.[Hossam E.], Farag, A.A.[Aly A.],
Elastic Shape Registration Using an Incremental Free Form Deformation Approach with the ICP Algorithm,
ICIP11(729-732).
IEEE DOI 1201
BibRef
And: CRV11(212-218).
IEEE DOI 1105
BibRef

Alexiadis, D.S., Zarpalas, D., Daras, P.,
Real-Time, Full 3-D Reconstruction of Moving Foreground Objects From Multiple Consumer Depth Cameras,
MultMed(15), No. 2, 2013, pp 339-358.
IEEE DOI 1302
Merge separate meshes into one model BibRef

Koehl, P.[Patrice], Hass, J.,
Automatic Alignment of Genus-Zero Surfaces,
PAMI(36), No. 3, March 2014, pp. 466-478.
IEEE DOI 1403
biology computing. Warp a triangular mesh to another. BibRef

Tung, T.[Tony], Matsuyama, T.[Takashi],
Geodesic Mapping for Dynamic Surface Alignment,
PAMI(36), No. 5, May 2014, pp. 901-913.
IEEE DOI 1405
BibRef
Earlier:
Intrinsic Characterization of Dynamic Surfaces,
CVPR13(233-240)
IEEE DOI 1309
BibRef
Earlier:
Invariant Surface-Based Shape Descriptor for Dynamic Surface Encoding,
ACCV12(I:486-499).
Springer DOI 1304
BibRef
Earlier:
Dynamic surface matching by geodesic mapping for 3D animation transfer,
CVPR10(1402-1409).
IEEE DOI 1006
3D video Robustness BibRef

Tung, T.[Tony], Matsuyama, T.[Takashi],
Timing-Based Local Descriptor for Dynamic Surfaces,
CVPR14(414-421)
IEEE DOI 1409
classification BibRef

Yu, T.[Ting], Lang, J.[Jochen],
Window-Based Range Flow with an Isometry Constraint,
CRV10(331-338).
IEEE DOI 1005
Feature points to anchor surface match. BibRef

Mokhtari, B.[Bilal], Melkemi, K.E.[Kamal Eddine], Michelucci, D.[Dominique], Foufou, S.[Sebti],
Unsupervised geodesic convex combination of shape dissimilarity measures,
PRL(98), No. 1, 2017, pp. 46-52.
Elsevier DOI 1710
Shape matching BibRef

Sánta, Z.[Zsolt], Kato, Z.[Zoltan],
Elastic Alignment of Triangular Surface Meshes,
IJCV(126), No. 11, November 2018, pp. 1220-1244.
Springer DOI 1809
BibRef
Earlier:
An algebraic framework for deformable image registration,
ICPR16(3792-3797)
IEEE DOI 1705
BibRef
And:
Affine Alignment of Occluded Shapes,
ICPR14(2155-2160)
IEEE DOI 1412
BibRef
Earlier:
Correspondence-Less Non-rigid Registration of Triangular Surface Meshes,
CVPR13(2275-2282)
IEEE DOI 1309
3D object; Registration; Sufrace Mesh; Thin Plate Spline Approximation algorithms. Approximation algorithms, Deformable models, Image registration, Jacobian matrices, Mathematical model, Radiometry, Shape BibRef

Balta, H.[Haris], Velagic, J.[Jasmin], Beglerovic, H.[Halil], de Cubber, G.[Geert], Siciliano, B.[Bruno],
3D Registration and Integrated Segmentation Framework for Heterogeneous Unmanned Robotic Systems,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Maalek, R.[Reza],
Field Information Modeling (FIM)™: Best Practices Using Point Clouds,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Bo, Z.[Zheng], Di, K.C.[Kai-Chang], Liu, B.[Bin], Wang, J.[Jia], Liu, Z.Q.[Zhao-Qin], Xin, X.[Xin], Cheng, Z.Q.[Zi-Qing], Yin, J.[Jinkuan],
High-Precision Registration of Lunar Global Mapping Products Based on Spherical Triangular Mesh,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Soloh, R.[Roaa], El Chakik, A.[Abdallah], Alabboud, H.[Hassan], Shahin, A.[Ahmad], Yassine, A.[Adnan],
New descriptors' combination for 3D mesh correspondence and retrieval,
IJCVR(12), No. 4, 2022, pp. 377-396.
DOI Link 2207
BibRef

Tang, J.[Jisi], Zhou, Q.[Qing], Huang, Y.[Yuan],
Self-Supervised Learning for Non-Rigid Registration Between Near-Isometric 3D Surfaces in Medical Imaging,
MedImg(42), No. 2, February 2023, pp. 519-532.
IEEE DOI 2302
Feature extraction, Shape, Surface morphology, Eigenvalues and eigenfunctions, Self-supervised learning, shape analysis BibRef


Pears, N.[Nick], Dai, H.[Hang], Smith, W.[Will], Sun, H.[Hao],
Laplacian ICP for Progressive Registration of 3D Human Head Meshes,
FG23(1-7)
IEEE DOI 2303
Measurement, Laplace equations, Deformation, Annotations, Gesture recognition, Benchmark testing BibRef

Mahmoud, A.[Anas], Hu, J.S.K.[Jordan S. K.], Kuai, T.S.[Tian-Shu], Harakeh, A.[Ali], Paull, L.[Liam], Waslander, S.L.[Steven L.],
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss,
CVPR23(7102-7110)
IEEE DOI 2309
BibRef

Mahmoud, A.[Anas], Hu, J.S.K.[Jordan S. K.], Waslander, S.L.[Steven L.],
Dense Voxel Fusion for 3D Object Detection,
WACV23(663-672)
IEEE DOI 2302
Training, Point cloud compression, Laser radar, Vehicle detection, Object detection, Detectors, Algorithms: 3D computer vision, visual reasoning BibRef

Wang, S.F.[Shao-Fei], Geiger, A.[Andreas], Tang, S.[Siyu],
Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration,
CVPR21(7635-7644)
IEEE DOI 2111
Surface reconstruction, Shape, Neural networks, Pipelines, Surface fitting BibRef

Sharifzadeh, S.[Sahand], Baharlou, S.M.[Sina Moayed], Berrendorf, M.[Max], Koner, R.[Rajat], Tresp, V.[Volker],
Improving Visual Relation Detection using Depth Maps,
ICPR21(3597-3604)
IEEE DOI 2105
Measurement, Visualization, Genomics, Feature extraction, Data mining, Bioinformatics, scene graph, depth maps BibRef

Eisenberger, M.[Marvin], Cremers, D.[Daniel],
Hamiltonian Dynamics for Real-world Shape Interpolation,
ECCV20(IV:179-196).
Springer DOI 2011
BibRef

Aygün, M., Lähner, Z., Cremers, D.,
Unsupervised Dense Shape Correspondence using Heat Kernels,
3DV20(573-582)
IEEE DOI 2102
Heating systems, Shape, Kernel, Training, Optimization, Mathematical model, Shape Analysis, Functional Maps BibRef

Eisenberger, M., Lähner, Z., Cremers, D.,
Smooth Shells: Multi-Scale Shape Registration With Functional Maps,
CVPR20(12262-12271)
IEEE DOI 2008
Shape, Smoothing methods, Skeleton, Eigenvalues and eigenfunctions, Geometry BibRef

Donati, N., Sharma, A., Ovsjanikov, M.,
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence,
CVPR20(8589-8598)
IEEE DOI 2008
Shape, Robustness, Pipelines, Training, Training data, Geometry BibRef

Keselman, L.[Leonid], Hebert, M.[Martial],
Direct Fitting of Gaussian Mixture Models,
CRV19(25-32)
IEEE DOI 1908
Gaussian mixture model to 3D geometry. Use Mesh. Mathematical model, Solid modeling, Visualization, Robots, GMM, shape, SLAM BibRef

Lim, I.[Isaak], Dielen, A.[Alexander], Campen, M.[Marcel], Kobbelt, L.[Leif],
A Simple Approach to Intrinsic Correspondence Learning on Unstructured 3D Meshes,
DeepLearn-G18(III:349-362).
Springer DOI 1905
BibRef

Lin, K., Jiang, N., Liu, S., Cheong, L.F., Do, M., Lu, J.,
Direct Photometric Alignment by Mesh Deformation,
CVPR17(2701-2709)
IEEE DOI 1711
Adaptive optics, Cameras, Computational modeling, Optical imaging, Optical variables control, Optimization, Parametric, statistics BibRef

Bore, N.[Nils], Jensfelt, P.[Patric], Folkesson, J.[John],
Querying 3D Data by Adjacency Graphs,
CVS15(243-252).
Springer DOI 1507
BibRef

Baghaie, A.[Ahmadreza], Yu, Z.Y.[Ze-Yun], d'Souza, R.M.[Roshan M.],
Fast Mesh-Based Medical Image Registration,
ISVC14(II: 1-10).
Springer DOI 1501
BibRef

Bogo, F.[Federica], Romero, J.[Javier], Loper, M.[Matthew], Black, M.J.[Michael J.],
FAUST: Dataset and Evaluation for 3D Mesh Registration,
CVPR14(3794-3801)
IEEE DOI 1409
3D mesh BibRef

Banerjee, S., Dutta, S., Biswas, P.K., Bhowmick, P.,
Parallel mesh regularization and resampling algorithm for improved mesh registration,
NCVPRIPG13(1-4)
IEEE DOI 1408
image reconstruction BibRef

Prajapati, S., Narayanan, P.J.,
Fast registration of articulated objects from depth images,
NCVPRIPG13(1-4)
IEEE DOI 1408
image registration BibRef

Yang, Y.H.[Yung-Hsiang], Ma, W.C.[Wan-Chun], Yoshiyasu, Y., Ouhyoung, M.[Ming],
Deformation transfer based on stretchiness ratio,
IVCNZ13(160-165)
IEEE DOI 1402
computer graphics BibRef

Lim, S.N.[Ser Nam], Guan, L.[Li], Liu, S.[Shubao], Yang, X.W.[Xing-Wei],
Automatic Registration of Smooth Object Image to 3D CAD Model for Industrial Inspection Applications,
3DV13(79-86)
IEEE DOI 1311
CAD BibRef

Kim, W.H.[Won Hwa], Chung, M.K.[Moo K.], Singh, V.[Vikas],
Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems,
CVPR13(2139-2146)
IEEE DOI 1309
BibRef

Wendel, A.[Andreas], Irschara, A.[Arnold], Bischof, H.[Horst],
Automatic alignment of 3D reconstructions using a Digital Surface Model,
WAVP11(29-36).
IEEE DOI 1106
BibRef

Dyshkant, N.[Natalia],
Measures for Surface Comparison on Unstructured Grids with Different Density,
DGCI11(501-512).
Springer DOI 1104
Surface comparison using mesh. BibRef

Trummer, M.[Michael], Suesse, H.[Herbert], Denzler, J.[Joachim],
Coarse registration of 3D surface triangulations based on moment invariants with applications to object alignment and identification,
ICCV09(1273-1279).
IEEE DOI 0909
BibRef

Wuhrer, S.[Stefanie], Shu, C.[Chang], Bose, P.[Prosenjit],
Posture invariant correspondence of triangular meshes in shape space,
3DIM09(1574-1581).
IEEE DOI 0910

See also Posture invariant gender classification for 3D human models.
See also Landmark-free posture invariant human shape correspondence. BibRef

Wuhrer, S.[Stefanie], Azouz, Z.B.[Zouhour Ben], Shu, C.[Chang],
Posture invariant surface description and feature extraction,
CVPR10(374-381).
IEEE DOI 1006

See also Posture invariant gender classification for 3D human models. BibRef

Wuhrer, S.[Stefanie], Shu, C.[Chang], Boisvert, J.[Jonathan], Godin, G.[Guy], Xi, P.C.[Peng-Cheng],
Bending invariant meshes and application to groupwise correspondences,
NORDIA09(382-389).
IEEE DOI 0910
BibRef

Schneider, D.C.[David C.], Eisert, P.[Peter],
Fast nonrigid mesh registration with a data-driven deformation prior,
NORDIA09(304-311).
IEEE DOI 0910
BibRef

Wetzel, A.W., Nieder, G.L., Durka-Pelok, G., Gest, T.R., Pomerantz, S.M., Nave, D., Czanner, S., Wagner, L., Shirey, E., Deerfield, D.W.,
Photo-realistic representation of anatomical structures for medical education by fusion of volumetric and surface image data,
AIPR03(131-138).
IEEE DOI 0310
BibRef

Tang, L.[Lisa], Hamarneh, G.[Ghassan], Abugharbieh, R.[Rafeef],
Reliability-Driven, Spatially-Adaptive Regularization for Deformable Registration,
WBIR10(173-185).
Springer DOI 1007
BibRef

Tang, L.[Lisa], Hamarneh, G.[Ghassan],
SMRFI: Shape matching via registration of vector-valued feature images,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Wareham, R.[Rich], Lasenby, J.[Joan],
Mesh Vertex Pose and Position Interpolation Using Geometric Algebra,
AMDO08(xx-yy).
Springer DOI 0807
BibRef

Choi, Y.K.[Yi-King], Li, X.Q.[Xue-Qing], Rong, F.G.[Feng-Guang], Wang, W.P.[Wen-Ping], Cameron, S.[Stephen],
Determining Directional Contact Range of Two Convex Polyhedra,
GMP08(xx-yy).
Springer DOI 0804
BibRef

Liu, Y.[Yang], Wang, W.P.[Wen-Ping],
A Revisit to Least Squares Orthogonal Distance Fitting of Parametric Curves and Surfaces,
GMP08(xx-yy).
Springer DOI 0804
BibRef

Wu, H.Y.[Huai-Yu], Pan, C.H.[Chun-Hong], Yang, Q.[Qing], Ma, S.D.[Song-De],
Consistent Correspondence between Arbitrary Manifold Surfaces,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Jung, D.U.[Da Un], Seo, Y.H.[Yung Ho], Choi, J.S.[Jong-Soo],
3D Footwear Model Matching System using Two Cameras,
3DTV07(1-4).
IEEE DOI 0705
BibRef

Fancourt, C.[Craig],
Registration and Matching of Perspective Surface Normal Maps,
ICIP07(VI: 552-555).
IEEE DOI 0709
BibRef

Akca, D., Gruen, A.,
Generalized Least Squares Multiple 3D Surface Matching,
Laser07(1).
PDF File. 0709
BibRef

Jänichen, S.[Silke], Perner, P.[Petra],
Aligning Concave and Convex Shapes,
SSPR06(243-251).
Springer DOI 0608
BibRef

Urfalioglu, O.[Onay], Mikulastik, P.A.[Patrick A.], Stegmann, I.[Ivo],
Scale Invariant Robust Registration of 3D-Point Data and a Triangle Mesh by Global Optimization,
ACIVS06(1059-1070).
Springer DOI 0609
BibRef

Novatnack, J.[John], Nishino, K.[Ko],
Scale-Dependent/Invariant Local 3D Shape Descriptors for Fully Automatic Registration of Multiple Sets of Range Images,
ECCV08(III: 440-453).
Springer DOI 0810

See also Simultaneous Determination of Registration and Deformation Parameters among 3D Range Images. BibRef

Keller, Y.[Yosi], Averbuch, A.[Amir], Shkolnisky, Y.[Yoel],
Algebraically Accurate Volume Registration Using Euler's Theorem and the 3-D Pseudo-Polar FFT,
CVPR05(II: 795-800).
IEEE DOI 0507
BibRef
And: A1, A3, A2:
Accurate Multi-Dimensional Alignment,
ICIP05(III: 1052-1055).
IEEE DOI 0512

See also angular difference function and its application to image registration, The. BibRef

Berar, M., Desvignes, M., Bailly, G., Payan, Y.,
3D Meshes Registration: Application to Statistical Skull Model,
ICIAR04(II: 100-107).
Springer DOI 0409
BibRef

de Piero, F.W.,
Deterministic Surface Registration at 10Hz Based on Landmark Graphs With Prediction,
BMVC03(xx-yy).
HTML Version. 0409
BibRef
Earlier:
Fast landmark-based registration via deterministic and efficient processing, some preliminary results,
3DPVT02(544-548).
IEEE DOI 0206
BibRef

Ikemoto, L., Gelfand, N., Levoy, M.,
A hierarchical method for aligning warped meshes,
3DIM03(434-441).
IEEE DOI 0311
BibRef

Dion, Jr., D.[Denis], Laurendeau, D.[Denis], Borgeat, L.[Louis],
3D Triangular Mesh Matching Through a Sequence of Registered 2d and 3d Images,
ICPR00(Vol I: 977-980).
IEEE DOI 0009
BibRef

Wingbermühle, J.[Jochen],
Robust Registration of Coarse Binary Volume Models,
ICPR00(Vol I: 999-1002).
IEEE DOI 0009
BibRef

Pulli, K., Duchamp, T., Hoppe, H., McDonald, J., Shapiro, L.G., Stuetzle, W.,
Robust Approximate Meshes from a Collection of Range Maps,
3DIM97(8 - Object Modeling) 9702
BibRef

Lee, E.J., Hyun, K.H., Min, G., Kwon, K.R., Jeong, I.G.,
Cooperative Relaxation Algorithm of Range Images Using Surface Curvatures,
MVA98(xx-yy). BibRef 9800

Jost, T., Schuetz, C.[Christian], Hugli, H.[Heinz],
Multi-Feature Matching Algorithm for Free-Form 3D Surface Registration,
ICPR98(Vol II: 982-984).
IEEE DOI 9808
BibRef

Weik, S.,
Registration of 3D Partial Surfaces Using Luminance and Depth Information,
3DIM97(4 - View Registration) 9702
BibRef

Stoddart, A.J., and Brunnström, K.,
Free-Form Surface Matching using Mean Field Theory,
BMVC96(Matching Surfaces). 9608
BibRef
And: A2, A1:
Genetic Algorithms for Free-Form Surface Matching,
ICPR96(IV: 689-693).
IEEE DOI 9608
University of Surrey (S&T Datakonsulter AB, S) BibRef

Ostuni, J.L., Hsu, L., Frank, J.A.,
COCGV: a method for multi-modality 3D volume registration,
ICIP98(II: 25-28).
IEEE DOI 9810
BibRef

Pito, R.[Richard],
Mesh Integration Based on Co-Measurements,
ICIP96(II: 397-400).
IEEE DOI BibRef 9600

Shiohara, M., Gotoh, T., Nakagawa, Y., Yoshida, M.,
Surface correspondence based on three-dimensional structure inference in animation images,
ICPR90(I: 194-197).
IEEE DOI 9006
BibRef

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
3-D Surface Registration for Mosaics and Models .


Last update:Mar 16, 2024 at 20:36:19