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
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
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 .