12.3.4.1.1 Register Point Cloud Data, Point Cloud Matching, Laser Scanner Data

Chapter Contents (Back)
Registration, 3-D. Surface Matching. Matching, Surfaces. Registration. Point Clouds. Point Cloud Registration.

Benjemaa, R.[Raouf], Schmitt, F.[Francis],
Fast global registration of 3D sampled surfaces using a multi-z-buffer technique,
IVC(17), No. 2, February 1999, pp. 113-123.
Elsevier DOI BibRef 9902
Earlier:
A Solution for the Registration of Multiple 3-D Point Sets Using Unit Quaternions,
ECCV98(II: 34).
Springer DOI BibRef
Earlier:
Fast Global Registration of 3D Sampled Surfaces Using a Mini-Buffer Technique,
3DIM97(4 - View Registration) 9702
See also Multi-view scans alignment for 3D spherical mosaicing in large-scale unstructured environments. BibRef

Pottmann, H.[Helmut], Leopoldseder, S.[Stefan], Hofer, M.[Michael],
Registration without ICP,
CVIU(95), No. 1, July 2004, pp. 54-71.
WWW Link. 0407
BibRef
Earlier:
Simultaneous Registration of Multiple Views of a 3D Object,
PCV02(A: 265). 0305
Relies on instantaneous kinematics and on the geometry of the squared distance function of a surface. See also On Surface Approximation Using Developable Surfaces. BibRef

Pottmann, H.[Helmut], Leopoldseder, S.[Stefan], Wallner, J.[Johannes], Peternell, M.[Martin],
Recognition and Reconstruction of Special Surfaces from Point Clouds,
PCV02(A: 271). 0305
BibRef

Hofer, M.[Manuel], Donoser, M.[Michael], Bischof, H.[Horst],
Semi-Global 3D Line Modeling for Incremental Structure-from-Motion,
BMVC14(xx-yy).
HTML Version. 1410
BibRef

Hofer, M.[Manuel], Wendel, A.[Andreas], Bischof, H.[Horst],
Incremental Line-based 3D Reconstruction using Geometric Constraints,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Hofer, M., Odehnal, B., Pottmann, H., Steiner, T., Wallner, J.,
3D Shape Recognition and Reconstruction Based on Line Element Geometry,
ICCV05(II: 1532-1538).
IEEE DOI 0510
BibRef

Pottmann, H.[Helmut], Hofer, M.[Michael], Odehnal, B.[Boris], Wallner, J.[Johannes],
Line Geometry for 3D Shape Understanding and Reconstruction,
ECCV04(Vol I: 297-309).
Springer DOI 0405
From surface normals, estimate shapes. 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

Liu, Y.H.[Yong-Huai],
Automatic registration of overlapping 3D point clouds using closest points,
IVC(24), No. 7, July 2006, pp. 762-781.
WWW Link. 0608
3D point clouds; SoftAssign; EMICP; Combinatorial optimization; Entropy maximization; Deterministic annealing; Optimised k-D tree BibRef

Liu, Y.H.[Yong-Huai],
Constraints for closest point finding,
PRL(29), No. 7, 1 May 2008, pp. 841-851.
WWW Link. 0804
Closest point criterion; Free form shape matching; Orientation constraint; Rigidity constraint; Matching error constraint; Possible point match evaluation BibRef

Rabbani, T.[Tahir], Dijkman, S.[Sander], van den Heuvel, F.[Frank], Vosselman, G.[George],
An integrated approach for modelling and global registration of point clouds,
PandRS(61), No. 6, February 2007, pp. 355-370.
WWW Link. 0703
Reverse Engineering; Registration; Laser Scanning; Industrial Reconstruction BibRef

Diez, Y.[Yago], Martí, J.[Joan], Salvi, J.[Joaquim],
Hierarchical Normal Space Sampling to speed up point cloud coarse matching,
PRL(33), No. 16, 1 December 2012, pp. 2127-2133.
Elsevier DOI 1210
Coarse point cloud matching; Normal space sampling; Hierarchical algorithms; Data Structures BibRef

Salvi, J.[Joaquim], Matabosch, C.[Carles], Fofi, D.[David], Forest, J.[Josep],
A review of recent range image registration methods with accuracy evaluation,
IVC(25), No. 5, 1 May 2007, pp. 578-596.
WWW Link. Survey, Range Registration. 0703
BibRef
Earlier: A2, A3, A1, A4:
Registration of Moving Surfaces by Means of One-Shot Laser Projection,
IbPRIA05(I:145).
Springer DOI 0509
Computer vision; 3D reconstruction; Range image; Registration BibRef

Díez, Y.[Yago], Roure, F.[Ferran], Lladó, X.[Xavier], Salvi, J.[Joaquim],
A Qualitative Review on 3D Coarse Registration Methods,
Surveys(47), No. 3, April 2015, pp. Article No 45.
DOI Link 1506
Survey, Range Registration. 3D registration or matching is a crucial step in 3D model reconstruction. Registration applications span along a variety of research fields, including computational geometry, computer vision, and geometric modeling. BibRef

Pribanic, T.[Tomislav], Diez, Y.[Yago], Roure, F.[Ferran], Salvi, J.[Joaquim],
An efficient surface registration using smartphone,
MVA(27), No. 4, May 2016, pp. 559-576.
Springer DOI 1605
BibRef

Matabosch, C.[Carles], Fofi, D.[David], Salvi, J.[Joaquim], Batlle, E.,
Registration of surfaces minimizing error propagation for a one-shot multi-slit hand-held scanner,
PR(41), No. 6, June 2008, pp. 2055-2067.
WWW Link. 0802
BibRef
And: PR(42), No. 3, March 2009, pp. 495.
WWW Link. 0811
Computer vision; 3D registration; Multi-view; Closing-the-loop BibRef

Basdogan, C.[Cagatay], Oztireli, A.C.[A. Cengiz],
A new feature-based method for robust and efficient rigid-body registration of overlapping point clouds,
VC(24), No. 7-9, July 2008, pp. xx-yy.
Springer DOI 0804
BibRef

Xie, Z.X.[Ze-Xiao], Xu, S.[Shang], Li, X.Y.[Xu-Yong],
A high-accuracy method for fine registration of overlapping point clouds,
IVC(28), No. 4, April 2010, pp. 563-570.
Elsevier DOI 1002
Fine registration; ICP algorithm; Dual interpolating point-to-surface; Surface fitting; Auxiliary pair BibRef

Meng, Y.[Yu], Zhang, H.[Hui],
Registration of point clouds using sample-sphere and adaptive distance restriction,
VC(27), No. 6-8, June 2011, pp. 543-553.
WWW Link. 1107
BibRef

Schenk, S.[Stefan], Hanke, K.[Klaus],
Genetic Algorithms for Automatic Registration of Laser Scans with Imperfect and Subdivided Features (GAReg-ISF),
PFG(2009), No. 1, 2009, pp. 23-32.
WWW Link. 1211
BibRef
Earlier:
Combining genetic algorithms with imperfect and subdivided features for the automatic registration of point clouds (GAReg-ISF),
3DARCH09(xx-yy).
PDF File. 0902
BibRef

Mandow, A.[Anthony], Martinez, J.L.[Jorge L.], Reina, A.J.[Antonio J.], Morales, J.[Jesus],
Fast range-independent spherical subsampling of 3D laser scanner points and data reduction performance evaluation for scene registration,
PRL(31), No. 11, 1 August 2010, pp. 1239-1250.
Elsevier DOI 1008
3D measurement system; Laser ranging; Point subsampling; Scene registration; Mobile robotics; Point matching BibRef

Martínez, J.L.[Jorge L.], Reina, A.J.[Antonio J.], Mandow, A.[Anthony], Morales, J.[Jesús],
3D registration of laser range scenes by coincidence of coarse binary cubes,
MVA(23), No. 5, September 2012, pp. 857-867.
WWW Link. 1208
BibRef

Muhle, D.[Daniel], Abraham, S.[Steffen], Wiggenhagen, M.[Manfred], Heipke, C.[Christian],
Identifying Correspondences in Sparse and Varying 3D Point Clouds using Distinctive Features,
PFG(2012), No. 5, 2012, pp. 535-546.
WWW Link. 1211
BibRef

Mateo, X.[Xavier], Orriols, X., Binefa, X.[Xavier],
Bayesian perspective for the registration of multiple 3D views,
CVIU(118), No. 1, 2014, pp. 84-96.
Elsevier DOI 1312
BibRef
Earlier: A1, A3, Only:
Plane Filtering for the Registration of Urban Range Laser Imagery,
IbPRIA09(136-143).
Springer DOI 0906
3D registration BibRef

Cirujeda, P.[Pol], Mateo, X.[Xavier], Dicente, Y.[Yashin], Binefa, X.[Xavier],
MCOV: A Covariance Descriptor for Fusion of Texture and Shape Features in 3D Point Clouds,
3DV14(551-558)
IEEE DOI 1503
Covariance matrices BibRef

Elseberg, J.[Jan], Borrmann, D.[Dorit], Nüchter, A.[Andreas],
Algorithmic Solutions for Computing Precise Maximum Likelihood 3D Point Clouds from Mobile Laser Scanning Platforms,
RS(5), No. 11, 2013, pp. 5871-5906.
DOI Link 1312
BibRef
And:
A Study of Scan Patterns for Mobile Mapping,
SSG13(75-80).
DOI Link 1402
BibRef

Cheng, L.[Liang], Tong, L.H.[Li-Hua], Li, M.[Manchun], Liu, Y.X.[Yong-Xue],
Semi-Automatic Registration of Airborne and Terrestrial Laser Scanning Data Using Building Corner Matching with Boundaries as Reliability Check,
RS(5), No. 12, 2013, pp. 6260-6283.
DOI Link 1402
BibRef

Cheng, L.[Liang], Tong, L.H.[Li-Hua], Wu, Y.[Yang], Chen, Y.M.[Yan-Ming], Li, M.C.[Man-Chun],
Shiftable Leading Point Method for High Accuracy Registration of Airborne and Terrestrial LiDAR Data,
RS(7), No. 2, 2015, pp. 1915-1936.
DOI Link 1503
BibRef

Cheng, L.[Liang], Wu, Y.[Yang], Tong, L.H.[Li-Hua], Chen, Y.M.[Yan-Ming], Li, M.[Manchun],
Hierarchical Registration Method for Airborne and Vehicle LiDAR Point Cloud,
RS(7), No. 10, 2015, pp. 13921.
DOI Link 1511
BibRef

Govindu, V.M., Pooja, A.,
On Averaging Multiview Relations for 3D Scan Registration,
IP(23), No. 3, March 2014, pp. 1289-1302.
IEEE DOI 1403
Lie algebras BibRef

Wang, Y.B.[Yong-Bo], Wang, Y.J.[Yun-Jia], Wu, K.[Kan], Yang, H.C.[Hua-Chao], Zhang, H.[Hua],
A dual quaternion-based, closed-form pairwise registration algorithm for point clouds,
PandRS(94), No. 1, 2014, pp. 63-69.
Elsevier DOI 1407
LiDAR BibRef

Yang, B.S.[Bi-Sheng], Zang, Y.[Yufu], Dong, Z.[Zhen], Huang, R.G.[Rong-Gang],
An automated method to register airborne and terrestrial laser scanning point clouds,
PandRS(109), No. 1, 2015, pp. 62-76.
Elsevier DOI 1512
Airborne laser scanning BibRef

Yang, B.S.[Bi-Sheng], Huang, R.G.[Rong-Gang], Dong, Z.[Zhen], Zang, Y.[Yufu], Li, J.P.[Jian-Ping],
Two-step adaptive extraction method for ground points and breaklines from lidar point clouds,
PandRS(119), No. 1, 2016, pp. 373-389.
Elsevier DOI 1610
Airborne lidar point clouds BibRef

Yang, B.S.[Bi-Sheng], Zang, Y.[Yufu],
Automated registration of dense terrestrial laser-scanning point clouds using curves,
PandRS(95), No. 1, 2014, pp. 109-121.
Elsevier DOI 1408
Shape similarity BibRef

Theiler, P.W.[Pascal Willy], Wegner, J.D.[Jan Dirk], Schindler, K.[Konrad],
Keypoint-based 4-Points Congruent Sets: Automated marker-less registration of laser scans,
PandRS(96), No. 1, 2014, pp. 149-163.
Elsevier DOI 1410
Point cloud registration BibRef

Theiler, P.W.[Pascal Willy], Wegner, J.D.[Jan Dirk], Schindler, K.[Konrad],
Globally consistent registration of terrestrial laser scans via graph optimization,
PandRS(109), No. 1, 2015, pp. 126-138.
Elsevier DOI 1512
Point cloud registration BibRef

Lin, B.W.[Bao-Wei], Tamaki, T.[Toru], Zhao, F.[Fangda], Raytchev, B.[Bisser], Kaneda, K.[Kazufumi], Ichii, K.[Koji],
Scale alignment of 3D point clouds with different scales,
MVA(25), No. 8, November 2014, pp. 1989-2002.
Springer DOI 1411
BibRef
Earlier: A1, A2, A4, A5, A6, Only:
Scale ratio ICP for 3D point clouds with different scales,
ICIP13(2217-2221)
IEEE DOI 1402
3D point cloud;ICP;registration;scale ratio;spin images BibRef

Tamaki, T.[Toru], Tanigawa, S.[Shunsuke], Ueno, Y.J.[Yu-Ji], Raytchev, B.[Bisser], Kaneda, K.[Kazufumi],
Scale Matching of 3D Point Clouds by Finding Keyscales with Spin Images,
ICPR10(3480-3483).
IEEE DOI 1008
BibRef

Teo, T.A.[Tee-Ann], Huang, S.H.[Shih-Han],
Surface-Based Registration of Airborne and Terrestrial Mobile LiDAR Point Clouds,
RS(6), No. 12, 2014, pp. 12686-12707.
DOI Link 1412
BibRef

Weber, T., Hänsch, R., Hellwich, O.,
Automatic registration of unordered point clouds acquired by Kinect sensors using an overlap heuristic,
PandRS(102), No. 1, 2015, pp. 96-109.
Elsevier DOI 1503
Point cloud fusion BibRef

Li, B.B.[Bei-Bei], Jiang, G.[Guang], Shao, W.[Wenjian],
Color correction based on point clouds alignment in the logarithmic RGB space,
VC(31), No. 3, March 2015, pp. 257-270.
WWW Link. 1503
BibRef

Ji, Z.[Zheng], Song, M.X.[Meng-Xiao], Guan, H.[Haiyan], Yu, Y.T.[Yong-Tao],
Accurate and robust registration of high-speed railway viaduct point clouds using closing conditions and external geometric constraints,
PandRS(106), No. 1, 2015, pp. 55-67.
Elsevier DOI 1507
High-speed railway BibRef

Xie, J.[Jun], Hsu, Y.F.[Yu-Feng], Feris, R.S.[Rogerio Schmidt], Sun, M.T.[Ming-Ting],
Fine registration of 3D point clouds fusing structural and photometric information using an RGB-D camera,
JVCIR(32), No. 1, 2015, pp. 194-204.
Elsevier DOI 1511
ICP BibRef

Li, W.M.[Wei-Min], Song, P.F.[Peng-Fei],
A modified ICP algorithm based on dynamic adjustment factor for registration of point cloud and CAD model,
PRL(65), No. 1, 2015, pp. 88-94.
Elsevier DOI 1511
Point cloud BibRef

Ge, X.M.[Xu-Ming], Wunderlich, T.[Thomas],
Surface-based matching of 3D point clouds with variable coordinates in source and target system,
PandRS(111), No. 1, 2016, pp. 1-12.
Elsevier DOI 1601
3D surface matching BibRef

Ge, X.M.[Xu-Ming],
Non-rigid registration of 3D point clouds under isometric deformation,
PandRS(121), No. 1, 2016, pp. 192-202.
Elsevier DOI 1609
Point clouds BibRef

Ge, X.M.[Xu-Ming],
Automatic markerless registration of point clouds with semantic-keypoint-based 4-points congruent sets,
PandRS(130), No. 1, 2017, pp. 344-357.
Elsevier DOI 1708
Coarse, registration BibRef

Amamra, A.[Abdenour], Aouf, N.[Nabil], Stuart, D.[Dowling], Richardson, M.[Mark],
A recursive robust filtering approach for 3D registration,
SIViP(10), No. 5, May 2016, pp. 835-842.
Springer DOI 1608
BibRef

Guo, H.[Hao], Zhu, D.[Dehai], Mordohai, P.[Philippos],
Correspondence estimation for non-rigid point clouds with automatic part discovery,
VC(32), No. 12, December 2016, pp. 1511-1524.
WWW Link. 1611
BibRef

Sun, J.H.[Jun-Hua], Zhang, J.[Jie], Zhang, G.J.[Guang-Jun],
An automatic 3D point cloud registration method based on regional curvature maps,
IVC(56), No. 1, 2016, pp. 49-58.
Elsevier DOI 1612
3D point cloud BibRef

Meng, T.W.[Ting Wei], Choi, G.P.T.[Gary Pui-Tung], Lui, L.M.[Lok Ming],
TEMPO: Feature-Endowed Teichmüller Extremal Mappings of Point Clouds,
SIIMS(9), No. 4, 2016, pp. 1922-1962.
DOI Link 1612
BibRef

Lui, L.M.[Lok Ming], Lam, K.C.[Ka Chun], Yau, S.T.[Shing-Tung], Gu, X.F.[Xian-Feng],
Teichmüller extremal mapping and its applications to landmark matching registration,
OnlineNovember 2012.
WWW Link. BibRef 1211

Arrigoni, F.[Federica], Rossi, B.[Beatrice], Fusiello, A.[Andrea],
Spectral Synchronization of Multiple Views in SE(3),
SIIMS(9), No. 4, 2016, pp. 1963-1990.
DOI Link 1612
rigid-motion synchronization, or averaging. BibRef

Comino, M.[Marc], Andújar, C.[Carlos], Chica, A.[Antonio], Brunet, P.[Pere],
Error-aware construction and rendering of multi-scan panoramas from massive point clouds,
CVIU(157), No. 1, 2017, pp. 43-54.
Elsevier DOI 1704
3D reconstruction BibRef

Al-Nuaimi, A.[Anas], Hilsenbeck, S.[Sebastian], Garcea, A.[Adrian], Steinbach, E.[Eckehard],
6DOF decoupled roto-translation alignment of large-scale indoor point clouds,
CVIU(157), No. 1, 2017, pp. 72-89.
Elsevier DOI 1704
Point cloud alignment BibRef

Guislain, M.[Maximilien], Digne, J.[Julie], Chaine, R.[Raphaëlle], Monnier, G.[Gilles],
Fine scale image registration in large-scale urban LIDAR point sets,
CVIU(157), No. 1, 2017, pp. 90-102.
Elsevier DOI 1704
Large scale point sets BibRef

Huang, X.S.[Xiao-Shui], Zhang, J.[Jian], Fan, L.X.[Li-Xin], Wu, Q.[Qiang], Yuan, C.[Chun],
A Systematic Approach for Cross-Source Point Cloud Registration by Preserving Macro and Micro Structures,
IP(26), No. 7, July 2017, pp. 3261-3276.
IEEE DOI 1706
BibRef
Earlier: A1, A2, A4, A3, A5:
A Coarse-to-Fine Algorithm for Registration in 3D Street-View Cross-Source Point Clouds,
DICTA16(1-6)
IEEE DOI 1701
Feature extraction, Image sensors, Iterative closest point algorithm, Robustness, Sensors, Solid modeling, Three-dimensional displays, Cross-source, graph matching, macro/micro, point cloud registration. Complexity theory BibRef

Peng, F.[Furong], Wu, Q.[Qiang], Fan, L.X.[Li-Xin], Zhang, J.[Jian], You, Y.[Yu], Lu, J.F.[Jian-Feng], Yang, J.Y.[Jing-Yu],
Street view cross-sourced point cloud matching and registration,
ICIP14(2026-2030)
IEEE DOI 1502
Accuracy BibRef

Lei, H., Jiang, G., Quan, L.,
Fast Descriptors and Correspondence Propagation for Robust Global Point Cloud Registration,
IP(26), No. 8, August 2017, pp. 3614-3623.
IEEE DOI 1707
eigenvalues and eigenfunctions, image registration, iterative methods, Kinect, correspondence propagation, descriptor-based methods, distance errors, eigenvalue-based descriptor, fast descriptors, global algorithms, iterative closest point algorithm, low-resolution point clouds, quality function, robust global point cloud registration, Aggregates, Eigenvalues and eigenfunctions, Iterative closest point algorithm, Registers, Robustness, Three-dimensional displays, Time complexity, Point cloud registration, correspondence propagation, match BibRef

Persad, R.A.[Ravi Ancil], Armenakis, C.[Costas],
Automatic co-registration of 3D multi-sensor point clouds,
PandRS(130), No. 1, 2017, pp. 162-186.
Elsevier DOI 1708
Keypoints BibRef

Lai, R.J.[Rong-Jie], Zhao, H.K.[Hong-Kai],
Multiscale Nonrigid Point Cloud Registration Using Rotation-Invariant Sliced-Wasserstein Distance via Laplace-Beltrami Eigenmap,
SIIMS(10), No. 2, 2017, pp. 449-483.
DOI Link 1708
BibRef


Vlaminck, M., Luong, H., Philips, W.,
Multi-resolution ICP for the efficient registration of point clouds based on octrees,
MVA17(334-337)
DOI Link 1708
Iterative closest point algorithm, Measurement, Multiresolution analysis, Octrees, Three-dimensional displays, Vegetation BibRef

Golyanik, V., Reis, G., Taetz, B., Strieker, D.,
A framework for an accurate point cloud based registration of full 3D human body scans,
MVA17(67-72)
DOI Link 1708
Foot, Image reconstruction, Pipelines, Semantics, Skeleton, Three-dimensional displays, Topology BibRef

Guan, S., Li, G., Xie, X., Wang, Z.,
Bi-direction ICP: Fast registration method of point clouds,
MVA17(129-132)
DOI Link 1708
Bidirectional control, Iterative closest point algorithm, Organizations, Solid modeling, Spinning, Three-dimensional displays, Two, dimensional, displays BibRef

Matusiak, K., Skulimowski, P., Strumillo, P.,
Improving matching performance of the keypoints in images of 3D scenes by using depth information,
WSSIP17(1-5)
IEEE DOI 1707
Algorithm design and analysis, Detectors, Feature extraction, Image edge detection, Object recognition, Three-dimensional displays, depth map, feature matching, keypoints detection, object, recognition BibRef

Gálai, B., Nagy, B., Benedek, C.,
Crossmodal point cloud registration in the Hough space for mobile laser scanning data,
ICPR16(3374-3379)
IEEE DOI 1705
Iterative closest point algorithm, Laser radar, Mobile communication, Sensor phenomena and characterization, Three-dimensional displays, Urban, areas BibRef

Martins, R.[Renato], Fernandez-Moral, E.[Eduardo], Rives, P.[Patrick],
Adaptive Direct RGB-D Registration and Mapping for Large Motions,
ACCV16(IV: 191-206).
Springer DOI 1704
BibRef

Wang, F., Ye, Y., Hu, X., Shan, J.,
Point cloud registration by combining shape and intensity contexts,
PRRS16(1-6)
IEEE DOI 1704
geometry BibRef

Psarrou, A., Angelopoulou, A., Mentzelopoulos, M., García-Rodríguez, J.,
Performance evaluation of a statistical and a neural network model for nonrigid shape-based registration,
IPTA16(1-6)
IEEE DOI 1703
Hebbian learning BibRef

Casanova, A., Pujol-Miró, A., Ruiz-Hidalgo, J., Casas, J.R.,
Interactive registration method for 3D data fusion,
IC3D16(1-8)
IEEE DOI 1703
image registration BibRef

Zhu, J., Wang, D., Bai, X., Lu, H., Jin, C., Li, Z.,
Registration of Point Clouds Based on the Ratio of Bidirectional Distances,
3DV16(102-107)
IEEE DOI 1701
Iterative closest point algorithm BibRef

Yi, Z.L.[Zi-Li], Li, Y.[Yang], Gong, M.L.[Ming-Lun],
An Efficient Algorithm for Feature-Based 3D Point Cloud Correspondence Search,
ISVC16(I: 485-496).
Springer DOI 1701
BibRef

Ma, Y., Guo, Y., Zhao, J., Lu, M., Zhang, J., Wan, J.,
Fast and Accurate Registration of Structured Point Clouds with Small Overlaps,
LS3D16(643-651)
IEEE DOI 1612
BibRef

Hullo, J.F.,
Fine Registration Of Kilo-station Networks: A Modern Procedure For Terrestrial Laser Scanning Data Sets,
ISPRS16(B5: 485-492).
DOI Link 1610
BibRef

Vestena, K.M., Santos, D.R.D.[D. R. Dos], Oilveira Jr., E.M., Pavan, N.L., Khoshelham, K.,
A Weighted Closed-form Solution for RGB-D Data Registration,
ISPRS16(B3: 403-409).
DOI Link 1610
BibRef

Kang, Z., Lindenbergh, R., Pu, S.,
Speeding Up Coarse Point Cloud Registration By Threshold-independent Baysac Match Selection,
ISPRS16(B5: 493-500).
DOI Link 1610
BibRef

Bueno, M., Martínez-Sánchez, J., González-Jorge, H., Lorenzo, H.,
Detection Of Geometric Keypoints And Its Application To Point Cloud Coarse Registration,
ISPRS16(B3: 187-194).
DOI Link 1610
BibRef

Attia, M., Slama, Y., Kamoun, M.A.,
On Performance Evaluation of Registration Algorithms for 3D Point Clouds,
CGiV16(45-50)
IEEE DOI 1608
computational geometry BibRef

Al-Nuaimi, A., Steinbach, E., Lopes, W.B., Lopes, C.G.,
6DOF point cloud alignment using geometric algebra-based adaptive filtering,
WACV16(1-9)
IEEE DOI 1606
Calculus BibRef

Qiu, R.Q.[Rong-Qi], Neumann, U.[Ulrich],
IPDC: Iterative part-based dense correspondence between point clouds,
WACV16(1-9)
IEEE DOI 1606
Colored noise BibRef

Xu, G.[George], Payandeh, S.[Shahram],
On Calibration and Alignment of Point Clouds in a Network of RGB-D Sensors for Tracking,
ISVC15(II: 563-573).
Springer DOI 1601
BibRef

Vidal, E.[Esteban], Piotto, N.[Nicola], Cordara, G.[Giovanni], Burgos, F.M.[Francisco Moran],
Automatic video to point cloud registration in a structure-from-motion framework,
ICIP15(2646-2650)
IEEE DOI 1512
3D Reconstruction; Point Cloud Alignment; SfM; Video Registration BibRef

Ahmed, M.T.[Mirza Tahir], Mohamad, M.[Mustafa], Marshall, J.A.[Joshua A.], Greenspan, M.[Michael],
Registration of Noisy Point Clouds Using Virtual Interest Points,
CRV15(31-38)
IEEE DOI 1507
Feature extraction BibRef

Lachhani, K.[Kishan], Duan, J.[Jifang], Baghsiahi, H.[Hadi], Willman, E.[Eero], Selviah, D.R.[David R.],
Correspondence rejection by trilateration for 3D point cloud registration,
MVA15(337-340)
IEEE DOI 1507
Estimation BibRef

Du, J.[Jia], Xiong, W.[Wei], Chen, W.Y.[Wen-Yu], Cheng, J.[Jierong], Wang, Y.[Yue], Gu, Y.[Ying], Chia, S.C.[Shue-Ching],
Multi-view Point Cloud Registration Using Affine Shape Distributions,
ACCV14(II: 147-161).
Springer DOI 1504
BibRef

Lu, M.[Min], Zhao, J.[Jian], Guo, Y.L.[Yu-Lan], Ou, J.P.[Jian-Ping], Li, J.,
A 3D pointcloud registration algorithm based on fast coherent point drift,
AIPR14(1-6)
IEEE DOI 1504
computational complexity BibRef

Crombez, N., Caron, G., Mouaddib, E.,
3D Point Cloud Model Colorization by Dense Registration of Digital Images,
3D-Arch15(123-130).
DOI Link 1504
BibRef

Papon, J.[Jeremie], Schoeler, M.[Markus], Worgotter, F.[Florentin],
Spatially Stratified Correspondence Sampling for Real-Time Point Cloud tracking,
WACV15(124-131)
IEEE DOI 1503
Accuracy See also Voxel Cloud Connectivity Segmentation: Supervoxels for Point Clouds. BibRef

Matsopoulos, G.K.[George K.], Economopoulos, T.L., Karanasiou, I.S., Koutsoupidou, M., Ventouras, E.,
Alignment of three-dimensional point clouds using combined descriptors,
IPTA14(1-5)
IEEE DOI 1503
computational geometry BibRef

Transue, S.[Shane], Choi, M.H.[Min-Hyung],
Intuitive Alignment of Point-Clouds with Painting-Based Feature Correspondence,
ISVC14(II: 746-756).
Springer DOI 1501
BibRef

Deng, Y.[Yan], Rangarajan, A.[Anand], Eisenschenk, S.[Stephan], Vemuri, B.C.[Baba C.],
A Riemannian Framework for Matching Point Clouds Represented by the Schrodinger Distance Transform,
CVPR14(3756-3761)
IEEE DOI 1409
Point clouds matching BibRef

Zeisl, B.[Bernhard], Zach, C.[Christopher], Pollefeys, M.[Marc],
Variational Regularization and Fusion of Surface Normal Maps,
3DV14(601-608)
IEEE DOI 1503
Noise BibRef

Zeisl, B.[Bernhard], Koser, K.[Kevin], Pollefeys, M.[Marc],
Automatic Registration of RGB-D Scans via Salient Directions,
ICCV13(2808-2815)
IEEE DOI 1403
3D reconstruction; RGB-D registration; point cloud registration BibRef

Ridene, T., Goulette, F., Chendeb, S.,
Feature-Based Quality Evaluation of 3D Point Clouds: Study of the Performance of 3D Registration Algorithms,
GeoInfo13(59-64).
DOI Link 1402
BibRef

Altuntas, C.,
Integration of Point Clouds Originated from Laser Scaner and Photogrammetric Images for Visualization of Complex Details of Historical Buildings,
3D-Arch15(431-435).
DOI Link 1504
BibRef

Altuntas, C., Yildiz, F.,
Point cloud registration and virtual realization of large scale and more complex historical structures,
SSG13(13-18).
DOI Link 1402
BibRef
Earlier:
Registration of Terrestrial Laser Scanner Unoverlap Point Clouds by One Image,
ISPRS08(B5: 597 ff).
PDF File. 0807
BibRef

Marques, M.[Manuel], Costeira, J.[Joao],
Guided search consensus: Large scale point cloud registration by convex optimization,
ICIP13(156-160)
IEEE DOI 1402
Cameras BibRef

Wang, C.P.[Chun-Po], Wilson, K., Snavely, N.,
Accurate Georegistration of Point Clouds Using Geographic Data,
3DV13(33-40)
IEEE DOI 1311
Internet BibRef

Palossi, D.[Daniele], Tombari, F.[Federico], Salti, S.[Samuele], Ruggiero, M.[Martino], di Stefano, L.[Luigi], Benini, L.[Luca],
GPU-SHOT: Parallel Optimization for Real-Time 3D Local Description,
ECVW13(584-591)
IEEE DOI 1309
3D descriptor; 3D feature; 3D object recognition; GPU optimization; SHOT BibRef

Weinmann, M., Dittrich, A., Hinz, S., Jutzi, B.,
Automatic Feature-Based Point Cloud Registration for a Moving Sensor Platform,
Hannover13(373-378).
DOI Link 1308
BibRef

Dyshkant, N.[Natalia],
Comparison of Point Clouds Acquired by 3D Scanner,
DGCI13(47-58).
Springer DOI 1304
BibRef

Varadarajan, K.M.[Karthik Mahesh], Vincze, M.[Markus],
Compressive Distance Classifier Correlation Filter,
ICIP13(3307-3311)
IEEE DOI 1402
BibRef
Earlier:
MRF Guided Anisotropic Depth Diffusion for Kinect Range Image Enhancement,
CDF12(II:223-235).
Springer DOI 1304
BibRef

Theiler, P.W., Schindler, K.,
Automatic Registration of Terrestrial Laser Scanner Point Clouds Using Natural Planar Surfaces,
AnnalsPRS(I-3), No. 2012, pp. 173-178.
HTML Version. 1209
BibRef

Eggert, D., Dalyot, S.,
Octree-Based SIMD Strategy for ICP Registration and Alignment of 3D Point Clouds,
AnnalsPRS(I-3), No. 2012, pp. 105-110.
HTML Version. 1209
BibRef

Tsay, J.R., Lee, M.S.,
Sift for Dense Point Cloud Matching and Aero Triangulation,
ISPRS12(XXXIX-B3:69-74).
DOI Link 1209
BibRef

Hesabi, S.[Somayeh], Laurendeau, D.[Denis],
Aligning 3D Local Data of Leapfrog Locations along Elongated Structures,
CRV16(77-84)
IEEE DOI 1612
3D registration; alignment; cylinder; elongated structures; pipeline BibRef

Nguyen, V.T.[Van Tung], Tran, T.T.[Trung-Thien], Cao, V.T.[Van-Toan], Laurendeau, D.[Denis],
3D Point Cloud Registration Based on the Vector Field Representation,
ACPR13(491-495)
IEEE DOI 1408
computer graphics BibRef

Nguyen, V.T.[Van Tung], Laurendeau, D.[Denis],
A Global Registration Method Based on the Vector Field Representation,
CRV11(132-139).
IEEE DOI 1105
point cloud registration BibRef

Huhle, B., Schairer, T., Schilling, A., Strasser, W.,
6DoF Registration of 2D Laser Scans,
3DIMPVT11(148-155).
IEEE DOI 1109
See also Normalized Cross-Correlation using SOFT. BibRef

Herrmann, M.[Martin], Srinivasa, S.[Siddhartha],
Exploiting Passthrough Information for Multi-view Object Reconstruction with Sparse and Noisy Laser Data,
CMU-RI-TR-10-07, February, 2010.
WWW Link. 1102
laser scanner. Build model of an object. BibRef

Temerinac-Ott, M.[Maja], Keuper, M.[Margret], Burkhardt, H.[Hans],
Evaluation of a New Point Clouds Registration Method Based on Group Averaging Features,
ICPR10(2452-2455).
IEEE DOI 1008
BibRef

Detchev, I.[Ivan], Habib, A.[Ayman], Bang, K.I.[Ki In], Kersting, A.[Ana],
Automated multiple surface registration of irregular point clouds: A comparative analysis of two approaches,
CGC10(39).
PDF File. 1006
BibRef

Sehgal, A.[Anuj], Cernea, D.[Daniel], Makaveeva, M.[Milena],
Real-Time Scale Invariant 3D Range Point Cloud Registration,
ICIAR10(I: 220-229).
Springer DOI 1006
BibRef

Agugiaro, G., Kolbe, T.,
Definition of a transition surface with the purpose of integration between a laser scanner 3D model and a low resolution DTM,
3DARCH09(xx-yy).
PDF File. 0902
BibRef

Molkenstruck, S.[Sven], Winkelbach, S.[Simon], Wahl, F.M.[Friedrich M.],
3D Body Scanning in a Mirror Cabinet,
DAGM08(xx-yy).
Springer DOI 0806
BibRef
Earlier: A2, A1, A3:
Low-Cost Laser Range Scanner and Fast Surface Registration Approach,
DAGM06(718-728).
Springer DOI 0610
BibRef

Mahmoudi, M.[Mona], Sapiro, G.[Guillermo],
Three-dimensional point cloud recognition via distributions of geometric distances,
S3D08(1-8).
IEEE DOI 0806
BibRef

Biswas, S., Aggarwal, G., Chellappa, R.,
Invariant Geometric Representation of 3D Point Clouds for Registration and Matching,
ICIP06(1209-1212).
IEEE DOI 0610
BibRef

Toldo, R.[Roberto], Beinat, A.[Alberto], Crosilla, F.[Fabio],
Global registration of multiple point clouds embedding the Generalized Procrustes Analysis into an ICP framework,
3DPVT10(xx-yy).
WWW Link. 1005
BibRef

Beinat, A.[Alberto], Crosilla, F.[Fabio], Sepic, F.,
Automatic morphological pre-alignment and global hybrid registration of close range images,
IEVM06(xx-yy).
PDF File. 0609
BibRef

Makadia, A.[Ameesh], Patterson, A.I.[Alexander I.], Daniilidis, K.[Kostas],
Fully Automatic Registration of 3D Point Clouds,
CVPR06(I: 1297-1304).
IEEE DOI 0606
Correlation of EGI in Fourier domain. BibRef

Jagannathan, A., Miller, E.L.,
Unstructured Point Cloud Matching within Graph-Theoretic and Thermodynamic Frameworks,
CVPR05(II: 1008-1015).
IEEE DOI 0507
BibRef

Mure-Dubois, J.[James], Hugli, H.[Heinz],
Fusion of Time of Flight Camera Point Clouds,
M2SFA208(xx-yy). 0810
BibRef

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Register 3-D LIDAR Data, Profiles .


Last update:Aug 9, 2017 at 18:37:22