{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T14:54:17Z","timestamp":1774968857929,"version":"3.50.1"},"reference-count":63,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T00:00:00Z","timestamp":1740528000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T00:00:00Z","timestamp":1740528000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"the National Key R&D Program of China under Grant","award":["2022YFB4703404"],"award-info":[{"award-number":["2022YFB4703404"]}]},{"name":"the National Key R&D Program of China under Grant","award":["2022YFB4703404"],"award-info":[{"award-number":["2022YFB4703404"]}]},{"name":"the National Key R&D Program of China under Grant","award":["2022YFB4703404"],"award-info":[{"award-number":["2022YFB4703404"]}]},{"name":"the National Key R&D Program of China under Grant","award":["2022YFB4703404"],"award-info":[{"award-number":["2022YFB4703404"]}]},{"name":"Sichuan Science and Technology Program under Grant","award":["2022YFSY0011"],"award-info":[{"award-number":["2022YFSY0011"]}]},{"name":"Sichuan Science and Technology Program under Grant","award":["2022YFSY0011"],"award-info":[{"award-number":["2022YFSY0011"]}]},{"name":"Sichuan Science and Technology Program under Grant","award":["2022YFSY0011"],"award-info":[{"award-number":["2022YFSY0011"]}]},{"name":"Sichuan Science and Technology Program under Grant","award":["2022YFSY0011"],"award-info":[{"award-number":["2022YFSY0011"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2025,8]]},"DOI":"10.1007\/s00371-025-03807-x","type":"journal-article","created":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T08:08:37Z","timestamp":1740557317000},"page":"7319-7340","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Planar tunnel point cloud fine registration under multiple constraints"],"prefix":"10.1007","volume":"41","author":[{"given":"Fuqiang","family":"Gou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yonglong","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanpian","family":"Mao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunyao","family":"Hou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gang","family":"Wan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jialong","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoran","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongcan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,2,26]]},"reference":[{"key":"3807_CR1","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1007\/s11440-022-01546-0","volume":"18","author":"Y Zhao","year":"2022","unstructured":"Zhao, Y., Zhu, Z., Liu, W., Zhan, J., Wu, D.: Application of 3D laser scanning on NATM tunnel deformation measurement during construction. Acta Geotech. 18, 483\u2013494 (2022)","journal-title":"Acta Geotech."},{"key":"3807_CR2","first-page":"66","volume":"6","author":"B Shi","year":"2023","unstructured":"Shi, B., Yang, M., Liu, J., Han, B., Zhao, K.: Rail transit shield tunnel deformation detection method based on cloth simulation filtering with point cloud cylindrical projection. Tunn. Undergr. Space Technol. 6, 66 (2023)","journal-title":"Tunn. Undergr. Space Technol."},{"key":"3807_CR3","first-page":"66","volume":"6","author":"H Cui","year":"2019","unstructured":"Cui, H., Ren, X., Mao, Q., Hu, Q., Wang, W.: Shield subway tunnel deformation detection based on mobile laser scanning. Autom. Constr. 6, 66 (2019)","journal-title":"Autom. Constr."},{"key":"3807_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2021.103860","volume":"130","author":"D Duan","year":"2021","unstructured":"Duan, D., Qiu, W., Yunjian, C., Zheng, Y., Lu, F.: Reconstruction of shield tunnel lining using point cloud. Autom. Constr. 130, 103860 (2021)","journal-title":"Autom. Constr."},{"key":"3807_CR5","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.cad.2019.05.033","volume":"114","author":"C Yi","year":"2019","unstructured":"Yi, C., et al.: Hierarchical tunnel modeling from 3D raw LiDAR point cloud. Comput. Aided Des. 114, 143\u2013154 (2019)","journal-title":"Comput. Aided Des."},{"key":"3807_CR6","volume":"116","author":"S Wang","year":"2023","unstructured":"Wang, S., Wu, H., Yue, H., Yao, L., Liu, C., Sun, H.: Automated extraction of tunnel electricity transmission system: An object-level approach with mobile laser scanning data. Int. J. Appl. Earth Obs. Geoinf. 116, 103136 (2023)","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"3807_CR7","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1016\/j.isprsjprs.2020.03.013","volume":"163","author":"Z Dong","year":"2020","unstructured":"Dong, Z., et al.: Registration of large-scale terrestrial laser scanner point clouds: a review and benchmark. ISPRS-J. Photogramm. Remote Sens. 163, 327\u2013342 (2020)","journal-title":"ISPRS-J. Photogramm. Remote Sens."},{"key":"3807_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.isprsjprs.2021.06.019","volume":"179","author":"X Ge","year":"2021","unstructured":"Ge, X., Zhu, Q.: Target-based automated matching of multiple terrestrial laser scans for complex forest scenes. ISPRS-J. Photogramm. Remote Sens. 179, 1\u201313 (2021)","journal-title":"ISPRS-J. Photogramm. Remote Sens."},{"key":"3807_CR9","first-page":"66","volume":"6","author":"P Polewski","year":"2019","unstructured":"Polewski, P., Yao, W., Cao, L., Gao, S.: Marker-free coregistration of UAV and backpack LiDAR point clouds in forested areas. ISPRS-J. Photogramm. Remote Sens. 6, 66 (2019)","journal-title":"ISPRS-J. Photogramm. Remote Sens."},{"key":"3807_CR10","first-page":"66","volume":"6","author":"X Ge","year":"2019","unstructured":"Ge, X., Wu, B.: Contextual global registration of point clouds in urban scenes. Photogramm. Eng. Remote Sens. 6, 66 (2019)","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"3807_CR11","doi-asserted-by":"publisher","first-page":"9264","DOI":"10.1109\/TGRS.2019.2925805","volume":"57","author":"X Ge","year":"2019","unstructured":"Ge, X., Hu, H., Wu, B.: Image-guided registration of unordered terrestrial laser scanning point clouds for urban scenes. IEEE Trans. Geosci. Remote Sens. 57, 9264\u20139276 (2019)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"3807_CR12","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1016\/j.isprsjprs.2020.01.020","volume":"161","author":"X Ge","year":"2020","unstructured":"Ge, X., Hu, H.: Object-based incremental registration of terrestrial point clouds in an urban environment. ISPRS-J. Photogramm. Remote Sens. 161, 218\u2013232 (2020)","journal-title":"ISPRS-J. Photogramm. Remote Sens."},{"key":"3807_CR13","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1177\/00202940211003935","volume":"54","author":"M Guo","year":"2021","unstructured":"Guo, M., et al.: Iterative automatic global registration algorithm for multi-view point cloud of underground tunnel space. Meas. Control 54, 385\u2013395 (2021)","journal-title":"Meas. Control"},{"key":"3807_CR14","first-page":"66","volume":"6","author":"J Wang","year":"2023","unstructured":"Wang, J., et al.: A multistation 3D point cloud automated global registration and accurate positioning method for railway tunnels. Struct. Control Health Monit. 6, 66 (2023)","journal-title":"Struct. Control Health Monit."},{"key":"3807_CR15","doi-asserted-by":"crossref","unstructured":"Fu, K., Liu, S., Luo, X., Wang, M.: Robust point cloud registration framework based on deep graph matching. In: 2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8889\u20138898 (2021)","DOI":"10.1109\/CVPR46437.2021.00878"},{"key":"3807_CR16","doi-asserted-by":"publisher","first-page":"11270","DOI":"10.1109\/TPAMI.2023.3265531","volume":"45","author":"F Lu","year":"2023","unstructured":"Lu, F., et al.: Sparse-to-dense matching network for large-scale LiDAR point cloud registration. IEEE Trans. Pattern Anal. Mach. Intell. 45, 11270\u201311282 (2023)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3807_CR17","doi-asserted-by":"publisher","first-page":"2448","DOI":"10.1080\/17538947.2023.2228298","volume":"16","author":"Y Han","year":"2023","unstructured":"Han, Y., Zhang, G., Zhang, R.: Grid graph-based large-scale point clouds registration. Int. J. Digit. Earth 16, 2448\u20132466 (2023)","journal-title":"Int. J. Digit. Earth"},{"key":"3807_CR18","first-page":"66","volume":"6","author":"J Yang","year":"2023","unstructured":"Yang, J., Zhang, X., Fan, S., Ren, C., Zhang, Y.: Mutual voting for ranking 3D correspondences. IEEE Trans. Pattern Anal. Mach. Intell. 6, 66 (2023)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3807_CR19","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1016\/j.isprsjprs.2005.02.006","volume":"59","author":"A Gruen","year":"2005","unstructured":"Gruen, A., Akca, D.: Least squares 3D surface and curve matching. ISPRS-J. Photogramm. Remote Sens. 59, 151\u2013174 (2005)","journal-title":"ISPRS-J. Photogramm. Remote Sens."},{"key":"3807_CR20","doi-asserted-by":"publisher","first-page":"12685","DOI":"10.1109\/TPAMI.2023.3287468","volume":"45","author":"A Kolpakov","year":"2022","unstructured":"Kolpakov, A., Werman, M.: An approach to robust ICP. IEEE Trans. Pattern Anal. Mach. Intell. 45, 12685\u201312691 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3807_CR21","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1016\/j.isprsjprs.2017.06.012","volume":"130","author":"Z Dong","year":"2017","unstructured":"Dong, Z., et al.: A novel binary shape context for 3D local surface description. ISPRS-J. Photogramm. Remote Sens. 130, 431\u2013452 (2017)","journal-title":"ISPRS-J. Photogramm. Remote Sens."},{"key":"3807_CR22","first-page":"66","volume":"6","author":"Z Dong","year":"2018","unstructured":"Dong, Z., Yang, B., Liang, F., Huang, R., Scherer, S.A.: Hierarchical registration of unordered TLS point clouds based on binary shape context descriptor. ISPRS-J. Photogramm. Remote Sens. 6, 66 (2018)","journal-title":"ISPRS-J. Photogramm. Remote Sens."},{"key":"3807_CR23","volume":"115","author":"W Dai","year":"2022","unstructured":"Dai, W., et al.: Multisource forest point cloud registration with semantic-guided keypoints and robust RANSAC mechanisms. Int. J. Appl. Earth Obs. Geoinf. 115, 103105 (2022)","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"3807_CR24","doi-asserted-by":"crossref","unstructured":"Pan, Y., Yang, B., Liang, F., Dong, Z.: Iterative global similarity points: a robust coarse-to-fine integration solution for pairwise 3D point cloud registration. In: 2018 International Conference on 3D Vision (3DV), pp. 180\u2013189 (2018)","DOI":"10.1109\/3DV.2018.00030"},{"key":"3807_CR25","first-page":"1","volume":"61","author":"L He","year":"2023","unstructured":"He, L., et al.: GFOICP: geometric feature optimized iterative closest point for 3-D point cloud registration. IEEE Trans. Geosci. Remote Sens. 61, 1\u201317 (2023)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"3807_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.isprsjprs.2015.11.001","volume":"111","author":"X Ge","year":"2016","unstructured":"Ge, X., Wunderlich, T.: Surface-based matching of 3D point clouds with variable coordinates in source and target system. ISPRS-J. Photogramm. Remote Sens. 111, 1\u201312 (2016)","journal-title":"ISPRS-J. Photogramm. Remote Sens."},{"key":"3807_CR27","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1109\/34.121791","volume":"14","author":"PJ Besl","year":"1992","unstructured":"Besl, P.J., Mckay, N.D.: A method for registration of 3-D shapes. IEEE Trans. Pattern Anal. Mach. Intell. 14, 239\u2013256 (1992)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3807_CR28","first-page":"3450","volume":"44","author":"J Zhang","year":"2020","unstructured":"Zhang, J., Yao, Y., Deng, B.: Fast and Robust Iterative Closest Point,\" IEEE Trans. Pattern Anal. Mach. Intell. 44, 3450\u20133466 (2020)","journal-title":"Pattern Anal. Mach. Intell."},{"key":"3807_CR29","doi-asserted-by":"crossref","unstructured":"Serafin, J., Grisetti, G.: NICP: dense normal based point cloud registration. In: 2015 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 742\u2013749 (2015)","DOI":"10.1109\/IROS.2015.7353455"},{"key":"3807_CR30","first-page":"66","volume":"6","author":"L Li","year":"2023","unstructured":"Li, L., Mei, S., Ma, W., Liu, X., Li, J., Wen, G.: An adaptive point cloud registration algorithm based on cross optimization of local feature point normal and global surface. IEEE Trans. Autom. Sci. Eng. 6, 66 (2023)","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"3807_CR31","doi-asserted-by":"publisher","first-page":"545","DOI":"10.1109\/ICPR.2002.1047997","volume":"3","author":"D Chetverikov","year":"2002","unstructured":"Chetverikov, D., Svirko, D., Stepanov, D., Krsek, P.: The Trimmed Iterative Closest Point algorithm. Object recognition supported by user interaction for service robots 3, 545\u2013548 (2002)","journal-title":"Object recognition supported by user interaction for service robots"},{"key":"3807_CR32","first-page":"3209","volume":"29","author":"C Wen","year":"2023","unstructured":"Wen, C., Huang, S.: A LiDAR point cloud registration method combining linear feature extraction and TrICP algorithm. Multimed. Syst. 29, 3209\u20133221 (2023)","journal-title":"Multimed. Syst."},{"key":"3807_CR33","first-page":"1","volume":"72","author":"Y Dong","year":"2023","unstructured":"Dong, Y., Xu, B., Liao, T., Yin, C., Tan, Z.: Application of local-feature-based 3-D point cloud stitching method of low-overlap point cloud to aero-engine blade measurement. IEEE Trans. Instrum. Meas. 72, 1\u201313 (2023)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"3807_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.109274","volume":"177","author":"Z Yao","year":"2021","unstructured":"Yao, Z., Zhao, Q., Li, X., Bi, Q.: Point cloud registration algorithm based on curvature feature similarity. Measurement 177, 109274 (2021)","journal-title":"Measurement"},{"key":"3807_CR35","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.isprsjprs.2021.10.005","volume":"6","author":"J Li","year":"2022","unstructured":"Li, J., Hu, Q., Zhang, Y., Ai, M.: Robust symmetric iterative closest point. ISPRS-J. Photogramm. Remote Sens. 6, 66 (2022)","journal-title":"ISPRS-J. Photogramm. Remote Sens."},{"key":"3807_CR36","doi-asserted-by":"publisher","first-page":"12569","DOI":"10.1007\/s10489-022-03201-3","volume":"52","author":"X Yue","year":"2022","unstructured":"Yue, X., Liu, Z., Zhu, J., Gao, X., Yang, B., Tian, Y.: Coarse-fine point cloud registration based on local point-pair features and the iterative closest point algorithm. Appl. Intell. 52, 12569\u201312583 (2022)","journal-title":"Appl. Intell."},{"key":"3807_CR37","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1007\/s00138-022-01279-w","volume":"33","author":"JD Anderson","year":"2022","unstructured":"Anderson, J.D., Raettig, R.M., Larson, J., Nykl, S.L., Taylor, C.N., Wischgoll, T.: Delaunay walk for fast nearest neighbor: accelerating correspondence matching for ICP. Mach. Vis. Appl. 33, 66 (2022)","journal-title":"Mach. Vis. Appl."},{"key":"3807_CR38","doi-asserted-by":"publisher","first-page":"9716","DOI":"10.1109\/TGRS.2020.3045456","volume":"59","author":"J Li","year":"2021","unstructured":"Li, J., Hu, Q., Ai, M.: Point cloud registration based on one-point RANSAC and scale-annealing biweight estimation. IEEE Trans. Geosci. Remote Sens. 59, 9716\u20139729 (2021)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"3807_CR39","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.neucom.2014.03.035","volume":"140","author":"J Dong","year":"2014","unstructured":"Dong, J., Peng, Y., Ying, S., Hu, Z.: LieTrICP: an improvement of trimmed iterative closest point algorithm. Neurocomputing 140, 67\u201376 (2014)","journal-title":"Neurocomputing"},{"key":"3807_CR40","doi-asserted-by":"publisher","first-page":"1681","DOI":"10.1109\/TIP.2023.3251021","volume":"32","author":"C Lv","year":"2022","unstructured":"Lv, C., Lin, W., Zhao, B.: KSS-ICP: point cloud registration based on Kendall shape space. IEEE Trans. Image Process. 32, 1681\u20131693 (2022)","journal-title":"IEEE Trans. Image Process."},{"key":"3807_CR41","doi-asserted-by":"publisher","first-page":"3185","DOI":"10.3390\/rs15123185","volume":"15","author":"L Cao","year":"2023","unstructured":"Cao, L., et al.: A global structure and adaptive weight aware ICP algorithm for image registration. Remote. Sens. 15, 3185 (2023)","journal-title":"Remote. Sens."},{"key":"3807_CR42","doi-asserted-by":"publisher","first-page":"1135","DOI":"10.1109\/TPAMI.2022.3148308","volume":"45","author":"Y Wang","year":"2022","unstructured":"Wang, Y., Yan, C., Feng, Y., Du, S., Dai, Q., Gao, Y.: STORM: structure-based overlap matching for partial point cloud registration. IEEE Trans. Pattern Anal. Mach. Intell. 45, 1135\u20131149 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3807_CR43","doi-asserted-by":"publisher","first-page":"4851","DOI":"10.3390\/rs14194851","volume":"14","author":"M Sang","year":"2022","unstructured":"Sang, M., Wang, W., Pan, Y.: RGB-ICP method to calculate ground three-dimensional deformation based on point cloud from airborne LiDAR. Remote. Sens. 14, 4851 (2022)","journal-title":"Remote. Sens."},{"key":"3807_CR44","unstructured":"Magnusson, M., Duckett, T.: A Comparison of 3D Registration Algorithms for Autonomous Underground Mining Vehicles (2005)"},{"key":"3807_CR45","doi-asserted-by":"crossref","unstructured":"Takeuchi, E., Tsubouchi, T.: A 3-D scan matching using improved 3-D normal distributions transform for mobile robotic mapping. In: 2006 IEEE\/RSJ International Conference on Intelligent Robots and Systems, pp. 3068\u20133073 (2006)","DOI":"10.1109\/IROS.2006.282246"},{"key":"3807_CR46","first-page":"66","volume":"6","author":"J Wang","year":"2024","unstructured":"Wang, J., Xu, B., Huang, G., Wang, X., Yao, M.: Research on applying scan matching algorithm to improve velocity measurement accuracy of single-line ranging lidar. Opt. Lasers Eng. 6, 66 (2024)","journal-title":"Opt. Lasers Eng."},{"key":"3807_CR47","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1002\/rob.20204","volume":"24","author":"M Magnusson","year":"2007","unstructured":"Magnusson, M., Lilienthal, A.J., Duckett, T.: Scan registration for autonomous mining vehicles using 3D-NDT. J. Field Robot. 24, 66 (2007)","journal-title":"J. Field Robot."},{"key":"3807_CR48","doi-asserted-by":"publisher","first-page":"1377","DOI":"10.1177\/0278364912460895","volume":"31","author":"T Stoyanov","year":"2012","unstructured":"Stoyanov, T., Magnusson, M., Andreasson, H., Lilienthal, A.J.: Fast and accurate scan registration through minimization of the distance between compact 3D NDT representations. Int. J. Robot. Res. 31, 1377\u20131393 (2012)","journal-title":"Int. J. Robot. Res."},{"key":"3807_CR49","doi-asserted-by":"crossref","unstructured":"Jun, L., Wei, L., Donglai, D., Qiang, S.: Point cloud registration algorithm based on NDT with variable size voxel. In: 2015 34th Chinese Control Conference (CCC), pp. 3707\u20133712 (2015)","DOI":"10.1109\/ChiCC.2015.7260213"},{"key":"3807_CR50","doi-asserted-by":"publisher","first-page":"1603","DOI":"10.1002\/rob.22194","volume":"40","author":"H Gupta","year":"2023","unstructured":"Gupta, H., Lilienthal, A.J., Andreasson, H., Kurtser, P.: NDT-6D for color registration in agri-robotic applications. J. Field Robot. 40, 1603\u20131619 (2023)","journal-title":"J. Field Robot."},{"key":"3807_CR51","doi-asserted-by":"crossref","unstructured":"Das, A., Waslander, S.L.: Scan registration with multi-scale k-means normal distributions transform. In: 2012 IEEE\/RSJ International Conference on Intelligent Robots and Systems, pp. 2705\u20132710 (2012)","DOI":"10.1109\/IROS.2012.6386185"},{"key":"3807_CR52","doi-asserted-by":"publisher","first-page":"1645","DOI":"10.1177\/0278364914539404","volume":"33","author":"A Das","year":"2014","unstructured":"Das, A., Waslander, S.L.: Scan registration using segmented region growing NDT. Int. J. Robot. Res. 33, 1645\u20131663 (2014)","journal-title":"Int. J. Robot. Res."},{"key":"3807_CR53","doi-asserted-by":"crossref","unstructured":"Gupta, H., Andreasson, H., Magnusson, M., Julier, S.J., Lilienthal, A.J.: Revisiting distribution-based registration methods. In: 2023 European Conference on Mobile Robots (ECMR), pp. 1\u20136 (2023)","DOI":"10.1109\/ECMR59166.2023.10256416"},{"key":"3807_CR54","doi-asserted-by":"crossref","unstructured":"Yew, Z.J., Lee, G.H.: RPM-Net: robust point matching using learned features. In: 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 11821\u201311830 (2020)","DOI":"10.1109\/CVPR42600.2020.01184"},{"key":"3807_CR55","doi-asserted-by":"crossref","unstructured":"Wang, H., Liu, Y., Dong, Z., Wang, W., Yang, B.: You only hypothesize once: point cloud registration with rotation-equivariant descriptors. In: Proceedings of the 30th ACM International Conference on Multimedia (2021)","DOI":"10.1145\/3503161.3548023"},{"key":"3807_CR56","doi-asserted-by":"publisher","first-page":"10376","DOI":"10.1109\/TPAMI.2023.3244951","volume":"45","author":"H Wang","year":"2023","unstructured":"Wang, H., et al.: RoReg: pairwise point cloud registration with oriented descriptors and local rotations. IEEE Trans. Pattern Anal. Mach. Intell. 45, 10376\u201310393 (2023)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3807_CR57","doi-asserted-by":"crossref","unstructured":"Sarode, V., Dhagat, A., Srivatsan, R.A., Zevallos, N., Lucey, S., Choset, H.: MaskNet: a fully-convolutional network to estimate inlier points. In: 2020 International Conference on 3D Vision (3DV), pp. 1029\u20131038 (2020)","DOI":"10.1109\/3DV50981.2020.00113"},{"key":"3807_CR58","unstructured":"Sarode, V., et al.: PCRNet: Point Cloud Registration Network using PointNet Encoding. arXiv:abs\/1908.07906 (2019)"},{"key":"3807_CR59","first-page":"66","volume":"6","author":"Y Wu","year":"2023","unstructured":"Wu, Y., et al.: RORNet: partial-to-partial registration network with reliable overlapping representations. IEEE Trans. Neural Netw. Learn. Syst. 6, 66 (2023)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"3807_CR60","doi-asserted-by":"publisher","first-page":"2099","DOI":"10.1007\/s11430-012-4418-z","volume":"55","author":"B Li","year":"2012","unstructured":"Li, B., Shen, Y., Li, W.: The seamless model for three-dimensional datum transformation. Sci. China Earth Sci. 55, 2099\u20132108 (2012)","journal-title":"Sci. China Earth Sci."},{"key":"3807_CR61","first-page":"7986","volume":"7","author":"PWHX Li Yan","year":"2023","unstructured":"Li Yan, P.W.H.X.: A new outlier removal strategy based on reliability of correspondence graph for fast point cloud registration. IEEE Trans. Pattern Anal. Mach. Intell. 7, 7986\u20138002 (2023)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3807_CR62","first-page":"1","volume":"6","author":"W Xu","year":"2024","unstructured":"Xu, W., et al.: Registration of airborne LiDAR bathymetry seafloor point clouds based on the adaptive matching of corresponding points. IEEE Geosci. Remote Sens. Lett. 6, 1\u20135 (2024)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"3807_CR63","first-page":"1","volume":"62","author":"W Tao","year":"2024","unstructured":"Tao, W., Lu, T., Chen, X., Chen, Z., Li, W., Pang, M.: A local shape descriptor designed for registration of terrestrial point clouds. IEEE Trans. Geosci. Remote Sens. 62, 1\u201313 (2024)","journal-title":"IEEE Trans. Geosci. Remote Sens."}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-025-03807-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-025-03807-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-025-03807-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T07:25:58Z","timestamp":1757143558000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-025-03807-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,26]]},"references-count":63,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2025,8]]}},"alternative-id":["3807"],"URL":"https:\/\/doi.org\/10.1007\/s00371-025-03807-x","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"value":"0178-2789","type":"print"},{"value":"1432-2315","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,26]]},"assertion":[{"value":"9 January 2025","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 February 2025","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}