12.3.4.1.4 Register Terrestrial Laser Scanner Point Cloud Data, TLS

Chapter Contents (Back)
Registration, 3-D. Surface Matching. TLS. Registration. 3-D. Terrestrial Laser Scanner.
See also Register Point Cloud Data, Point Cloud Matching, Laser Scanner Data. Specific to buildings:
See also Buildings from Terrestrial Laser Data, Mobile Scanners, Ground-Based LiDAR.

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.
Elsevier DOI 0802
BibRef
And: Corrigendum: PR(42), No. 3, March 2009, pp. 495.
Elsevier DOI 0811
3D registration; Multi-view; Closing-the-loop. Multiple view, hand held laser scanner. BibRef

Cheng, L.[Liang], Tong, L.H.[Li-Hua], Li, M.C.[Man-Chun], 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

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], 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

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

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

Zai, D.W.[Da-Wei], Li, J.[Jonathan], Guo, Y.L.[Yu-Lan], Cheng, M.[Ming], Huang, P.[Pengdi], Cao, X.F.[Xiao-Fei], Wang, C.[Cheng],
Pairwise registration of TLS point clouds using covariance descriptors and a non-cooperative game,
PandRS(134), No. Supplement C, 2017, pp. 15-29.
Elsevier DOI 1712
Terrestrial laser scanning (TLS), Registration, Covariance matrix descriptor, 3D representation, Game theory 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

Sterle, O.[Oskar], Kogoj, D.[Dušan], Stopar, B.[Bojan], Kregar, K.[Klemen],
On the nullspace of TLS multi-station adjustment,
PandRS(141), 2018, pp. 1-9.
Elsevier DOI 1806
Nullspace, TLS multi-station, Geodetic datum, Inner constraints, Minimal constraints, Least-squares adjustment BibRef

Dong, Z.[Zhen], Yang, B.S.[Bi-Sheng], Liang, F.[Fuxun], Huang, R.G.[Rong-Gang], Scherer, S.[Sebastian],
Hierarchical registration of unordered TLS point clouds based on binary shape context descriptor,
PandRS(144), 2018, pp. 61-79.
Elsevier DOI 1809
Point cloud registration, Binary shape context, Vector of locally aggregated descriptors, Multiple overlaps BibRef

Yang, R.H.[Rong-Hua], Meng, X.L.[Xiao-Lin], Yao, Y.B.[Yi-Bin], Chen, B.Y.[Bi Yu], You, Y.S.[Yang-Sheng], Xiang, Z.J.[Ze-Jun],
An analytical approach to evaluate point cloud registration error utilizing targets,
PandRS(143), 2018, pp. 48-56.
Elsevier DOI 1808
Point cloud, Registration error, Target, Terrestrial laser scanning BibRef

Tremblay, J.F.[Jean-François], Béland, M.[Martin],
Towards operational marker-free registration of terrestrial lidar data in forests,
PandRS(146), 2018, pp. 430-435.
Elsevier DOI 1812
Scan registration, Terrestrial lidar, Forests, Reflective markers BibRef

Cai, Z.P.[Zhi-Peng], Chin, T.J.[Tat-Jun], Bustos, A.P.[Alvaro Parra], Schindler, K.[Konrad],
Practical optimal registration of terrestrial LiDAR scan pairs,
PandRS(147), 2019, pp. 118-131.
Elsevier DOI 1901
Point cloud registration, Exact optimization, Branch-and-bound BibRef

Ge, X., Hu, H., Wu, B.,
Image-Guided Registration of Unordered Terrestrial Laser Scanning Point Clouds for Urban Scenes,
GeoRS(57), No. 11, November 2019, pp. 9264-9276.
IEEE DOI 1911
Feature extraction, Optimization, Maximum likelihood estimation, Germanium, Reliability, Shape, vocabulary tree BibRef

Wang, F.P.[Fei-Peng], Xiao, J.[Jun], Wang, Y.[Ying],
Efficient Rock-Mass Point Cloud Registration Using n-Point Complete Graphs,
GeoRS(57), No. 11, November 2019, pp. 9332-9343.
IEEE DOI 1911
Feature extraction, Shape, Surface treatment, Resilience, Histograms, Rocks, Data fusion, terrestrial laser scanning technology BibRef

Hu, L.[Liang], Xiao, J.[Jun], Wang, Y.[Ying],
An automatic 3D registration method for rock mass point clouds based on plane detection and polygon matching,
VC(36), No. 4, April 2020, pp. 669-681.
WWW Link. 2004
BibRef

Wang, Y.B.[Yun-Biao], Xiao, J.[Jun], Liu, L.P.[Lu-Peng], Wang, Y.[Ying],
Efficient Rock Mass Point Cloud Registration Based on Local Invariants,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Ge, X.M.[Xu-Ming], Hu, H.[Han],
Object-based incremental registration of terrestrial point clouds in an urban environment,
PandRS(161), 2020, pp. 218-232.
Elsevier DOI 2002
Point clouds, Registration, Terrestrial laser scanner, Urban scenes, Line segments, Planar segments BibRef

Pavan, N.L.[Nadisson Luis], dos Santos, D.R.[Daniel Rodrigues], Khoshelham, K.[Kourosh],
Global Registration of Terrestrial Laser Scanner Point Clouds Using Plane-to-Plane Correspondences,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Tao, W.Y.[Wu-Yong], Hua, X.H.[Xiang-Hong], Chen, Z.P.[Zhi-Ping], Tian, P.J.[Peng-Ju],
Fast and Automatic Registration of Terrestrial Point Clouds Using 2D Line Features,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Mahmood, B.[Bilawal], Han, S.[SangUk], Lee, D.E.[Dong-Eun],
BIM-Based Registration and Localization of 3D Point Clouds of Indoor Scenes Using Geometric Features for Augmented Reality,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Dong, Z.[Zhen], Liang, F.X.[Fu-Xun], Yang, B.S.[Bi-Sheng], Xu, Y.S.[Yu-Sheng], Zang, Y.[Yufu], Li, J.P.[Jian-Ping], Wang, Y.[Yuan], Dai, W.X.[Wen-Xia], Fan, H.C.[Hong-Chao], Hyyppä, J.[Juha], Stilla, U.[Uwe],
Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark,
PandRS(163), 2020, pp. 327-342.
Elsevier DOI 2005
Benchmark data set, Deep learning, Point cloud, Registration, Terrestrial laser scanning BibRef

Li, Z.[Zhen], Zhang, X.M.[Xiao-Ming], Tan, J.X.[Jun-Xiang], Liu, H.[Hua],
Pairwise Coarse Registration of Indoor Point Clouds Using 2D Line Features,
IJGI(10), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Liu, H.[Hua], Zhang, X.M.[Xiao-Ming], Xu, Y.C.[Yuan-Cheng], Chen, X.Y.[Xiao-Yong],
Efficient Coarse Registration of Pairwise TLS Point Clouds Using Ortho Projected Feature Images,
IJGI(9), No. 4, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Wang, F., Hu, H., Ge, X., Xu, B., Zhong, R., Ding, Y., Xie, X., Zhu, Q.,
Multientity Registration of Point Clouds for Dynamic Objects on Complex Floating Platform Using Object Silhouettes,
GeoRS(59), No. 1, January 2021, pp. 769-783.
IEEE DOI 2012
Marine vehicles, Robustness, Nonhomogeneous media, Iterative closest point algorithm, terrestrial laser scanning BibRef

Anders, K.[Katharina], Winiwarter, L.[Lukas], Mara, H.[Hubert], Lindenbergh, R.[Roderik], Vos, S.E.[Sander E.], Höfle, B.[Bernhard],
Fully automatic spatiotemporal segmentation of 3D LiDAR time series for the extraction of natural surface changes,
PandRS(173), 2021, pp. 297-308.
Elsevier DOI 2102
4D object-by-change, Point clouds, Terrestrial laser scanning, Change detection, Coastal monitoring BibRef

Xiong, B.[Biao], Jiang, W.[Weize], Li, D.K.[Deng-Ke], Qi, M.[Man],
Voxel Grid-Based Fast Registration of Terrestrial Point Cloud,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Schmitz, B., Kuhlmann, H., Holst, C.,
Towards the empirical determination of correlations in terrestrial laser scanner range observations and the comparison of the correlation structure of different scanners,
PandRS(182), 2021, pp. 228-241.
Elsevier DOI 2112
Variance-covariance matrix, Anisotropy, Point cloud, Autocovariance, Stochastic model, Terrestrial laser scanning BibRef

Chen, Z.P.[Zhi-Peng], Li, Q.Q.[Qing-Quan], Li, J.Y.[Jia-Yuan], Zhang, D.J.[De-Jin], Yu, J.W.[Jian-Wei], Yin, Y.[Yu], Lv, S.W.[Shi-Wang], Liang, A.[Anbang],
IMU-Aided Registration of MLS Point Clouds Using Inertial Trajectory Error Model and Least Squares Optimization,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Alicandro, M.[Maria], di Angelo, L.[Luca], di Stefano, P.[Paolo], Dominici, D.[Donatella], Guardiani, E.[Emanuele], Zollini, S.[Sara],
Fast and Accurate Registration of Terrestrial Point Clouds Using a Planar Approximation of Roof Features,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Yang, Y.S.[Yu-Sheng], Fang, G.R.[Guo-Run], Miao, Z.H.[Zhong-Hua], Xie, Y.M.[Yang-Min],
Indoor-Outdoor Point Cloud Alignment Using Semantic-Geometric Descriptor,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
BibRef

Xiong, B.[Biao], Li, D.K.[Deng-Ke], Zhou, Z.[Zhize], Li, F.[Fashuai],
Fast Registration of Terrestrial LiDAR Point Clouds Based on Gaussian-Weighting Projected Image Matching,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Wu, H.[Hao], Yan, L.[Li], Xie, H.[Hong], Wei, P.C.[Peng-Cheng], Dai, J.[Jicheng],
A hierarchical multiview registration framework of TLS point clouds based on loop constraint,
PandRS(195), 2023, pp. 65-76.
Elsevier DOI 2301
Point cloud registration, Hierarchical registration, Multiple overlaps, Loop constraint, False matches removal BibRef

Liu, J.D.[Ji-Dong], Hasheminasab, S.M.[Seyyed Meghdad], Zhou, T.[Tian], Manish, R.[Raja], Habib, A.[Ayman],
An Image-Aided Sparse Point Cloud Registration Strategy for Managing Stockpiles in Dome Storage Facilities,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Wang, X.F.[Xu-Fei], Yang, Z.X.[Ze-Xin], Cheng, X.J.[Xiao-Jun], Stoter, J.[Jantien], Xu, W.B.[Wen-Bing], Wu, Z.[Zhenlun], Nan, L.L.[Liang-Liang],
GlobalMatch: Registration of forest terrestrial point clouds by global matching of relative stem positions,
PandRS(197), 2023, pp. 71-86.
Elsevier DOI 2303
Point cloud, Registration, Forest, Laser scanning, Dataset BibRef

Zhang, H.Z.[Hai-Zhou], Yu, X.J.[Xian-Jia], Ha, S.[Sier], Westerlund, T.[Tomi],
LiDAR-Generated Images Derived Keypoints Assisted Point Cloud Registration Scheme in Odometry Estimation,
RS(15), No. 20, 2023, pp. 5074.
DOI Link 2310
BibRef


Alteirac, V., Macher, H., Landes, T.,
Registration Optimization of Mobile Handheld Scanner Point Clouds With Static Scans,
ISPRS21(B2-2021: 289-296).
DOI Link 2201
BibRef

Zang, Y., Lindenbergh, R.C.,
An Improved Coherent Point Drift Method for TLS Point Cloud Registration of Complex Scenes,
Laser19(1169-1175).
DOI Link 1912
BibRef

Date, H., Wakisaka, E., Moribe, Y., Kanai, S.,
TLS Point Cloud Registration Based On ICP Algorithm Using Point Quality,
Laser19(963-968).
DOI Link 1912
BibRef

Assi, R., Landes, T., Murtiyoso, A., Grussenmeyer, P.,
Assessment of a Keypoints Detector for The Registration of Indoor And Outdoor Heritage Point Clouds,
CIPA19(133-138).
DOI Link 1912
BibRef

Markiewicz, J.S., Markiewicz, L., Forys, P.,
The Comparison of 2D and 3D Detectors for TLS Data Registration: Preliminary Results,
3DARCH19(467-472).
DOI Link 1904
BibRef

Mohd Isa, S.N., Abdul Shukor, S.A., Rahim, N.A., Maarof, I., Yahya, Z.R., Zakaria, A., Abdullah, A.H., Wong, R.,
Orientation-based Pairwise Coarse Registration With Markerless Terrestrial Laser Scans,
GGT19(425-432).
DOI Link 1912
BibRef

Markiewicz, J.S.,
The Example of Using Intensity Orthoimages in TLS Data Registration: A Case Study,
3DARCH17(467-474).
DOI Link 1805
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

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

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.
DOI Link 1209
BibRef

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Register Laser Scanner Point Cloud Data for Driving .


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