{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T12:47:19Z","timestamp":1763988439589,"version":"3.37.3"},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2023,6,27]],"date-time":"2023-06-27T00:00:00Z","timestamp":1687824000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,6,27]],"date-time":"2023-06-27T00:00:00Z","timestamp":1687824000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["41674005","42104023"],"award-info":[{"award-number":["41674005","42104023"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Spatial Cognition Augmented High-usability High-precision Smartphone Indoor Positioning","award":["41874031"],"award-info":[{"award-number":["41874031"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1007\/s00371-023-02942-7","type":"journal-article","created":{"date-parts":[[2023,6,27]],"date-time":"2023-06-27T08:03:36Z","timestamp":1687853016000},"page":"2615-2630","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Automatic multi-view registration of point clouds via a high-quality descriptor and a novel 3D transformation estimation technique"],"prefix":"10.1007","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0821-644X","authenticated-orcid":false,"given":"Wuyong","family":"Tao","sequence":"first","affiliation":[]},{"given":"Xianghong","family":"Hua","sequence":"additional","affiliation":[]},{"given":"Xiaoxing","family":"He","sequence":"additional","affiliation":[]},{"given":"Jingbin","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Dong","family":"Xu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,27]]},"reference":[{"issue":"11","key":"2942_CR1","doi-asserted-by":"publisher","first-page":"7890","DOI":"10.1109\/TGRS.2020.2984943","volume":"58","author":"B Zhao","year":"2020","unstructured":"Zhao, B., Hua, X., Yu, K., Xuan, W., Chen, X., Tao, W.: Indoor point cloud segmentation using iterative Gaussian mapping and improved model fitting. IEEE Trans. Geosci. Remote Sens. 58(11), 7890\u20137907 (2020). https:\/\/doi.org\/10.1109\/TGRS.2020.2984943","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"2942_CR2","doi-asserted-by":"publisher","first-page":"30873","DOI":"10.1109\/ACCESS.2020.2973580","volume":"8","author":"P Tian","year":"2020","unstructured":"Tian, P., Hua, X., Yu, K., Tao, W.: Robust segmentation of building planar features from unorganized point cloud. IEEE Access. 8, 30873\u201330884 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.2973580","journal-title":"IEEE Access."},{"issue":"1","key":"2942_CR3","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1109\/TGRS.2017.2737471","volume":"56","author":"X Chen","year":"2018","unstructured":"Chen, X., Yu, K., Wu, H.: Determination of minimum detectable deformation of terrestrial laser scanning based on error entropy model. IEEE Trans. Geosci. Remote Sens. 56(1), 105\u2013116 (2018). https:\/\/doi.org\/10.1109\/TGRS.2017.2737471","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"2942_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.measurement.2020.107852","volume":"160","author":"X Chen","year":"2020","unstructured":"Chen, X., Ban, Y., Hua, X., Lu, T., Tao, W., An, Q.: A method for the calculation of detectable landslide using terrestrial laser scanning data. Measurement 160, 1\u20139 (2020). https:\/\/doi.org\/10.1016\/j.measurement.2020.107852","journal-title":"Measurement"},{"key":"2942_CR5","doi-asserted-by":"publisher","first-page":"1833","DOI":"10.1109\/ACCESS.2017.2658681","volume":"5","author":"K Tang","year":"2017","unstructured":"Tang, K., Song, P., Chen, X.: 3D object recognition in cluttered scenes with robust shape description and correspondence selection. IEEE Access. 5, 1833\u20131845 (2017). https:\/\/doi.org\/10.1109\/ACCESS.2017.2658681","journal-title":"IEEE Access."},{"issue":"1","key":"2942_CR6","doi-asserted-by":"publisher","first-page":"801","DOI":"10.1109\/TGRS.2020.2998683","volume":"59","author":"W Tao","year":"2021","unstructured":"Tao, W., Hua, X., Yu, K., Chen, X., Zhao, B.: A pipeline for 3-D object recognition based on local shape description in cluttered scenes. IEEE Trans. Geosci. Remote Sens. 59(1), 801\u2013816 (2021). https:\/\/doi.org\/10.1109\/TGRS.2020.2998683","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"2942_CR7","doi-asserted-by":"publisher","first-page":"5627","DOI":"10.1109\/JSTARS.2021.3068796","volume":"14","author":"J Liu","year":"2021","unstructured":"Liu, J., Xu, D., Hyypp\u00e4, J., Liang, Y.: A survey of applications with combined BIM and 3D laser scanning in the life cycle of buildings. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. 14, 5627\u20135637 (2021). https:\/\/doi.org\/10.1109\/JSTARS.2021.3068796","journal-title":"IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens."},{"issue":"8","key":"2942_CR8","doi-asserted-by":"publisher","first-page":"1283","DOI":"10.3390\/rs12081283","volume":"12","author":"W Tao","year":"2020","unstructured":"Tao, W., Hua, X., Chen, Z., Tian, P.: Fast and automatic registration of terrestrial point clouds using 2D line features. Remote Sensing. 12(8), 1283\u20131299 (2020). https:\/\/doi.org\/10.3390\/rs12081283","journal-title":"Remote Sensing."},{"issue":"6","key":"2942_CR9","doi-asserted-by":"publisher","first-page":"3404","DOI":"10.1109\/TGRS.2018.2884712","volume":"7","author":"A Kusari","year":"2019","unstructured":"Kusari, A., Glennie, C.L., Brooks, B.A., Ericksen, T.L.: Precise registration of laser mapping data by planar feature extraction for deformation monitoring. IEEE Trans. Geosci. Remote Sens. 7(6), 3404\u20133422 (2019). https:\/\/doi.org\/10.1109\/TGRS.2018.2884712","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"2942_CR10","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1007\/s00371-018-1478-x","volume":"35","author":"W Zhou","year":"2019","unstructured":"Zhou, W., Ma, C., Yao, T., Chang, P., Zhang, Q., Kuijper, A.: Histograms of Gaussian normal distribution for 3D feature matching in cluttered scenes. Vis. Comput. 35, 489\u2013505 (2019). https:\/\/doi.org\/10.1007\/s00371-018-1478-x","journal-title":"Vis. Comput."},{"key":"2942_CR11","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1016\/j.ins.2018.02.070","volume":"444","author":"S Quan","year":"2018","unstructured":"Quan, S., Ma, J., Hu, F., Fang, B., Ma, T.: Local voxelized structure for 3D binary feature representation and robust registration of point clouds from low-cost sensors. Inf. Sci. 444, 153\u2013171 (2018). https:\/\/doi.org\/10.1016\/j.ins.2018.02.070","journal-title":"Inf. Sci."},{"key":"2942_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-022-02514-1","author":"J Yang","year":"2022","unstructured":"Yang, J., Fan, S., Huang, Z., Quan, S., Wang, W., Zhang, Y.: VOID: 3D object recognition based on voxelization in invariant distance space. Vis. Comput. (2022). https:\/\/doi.org\/10.1007\/s00371-022-02514-1","journal-title":"Vis. Comput."},{"issue":"2","key":"2942_CR13","doi-asserted-by":"publisher","first-page":"121","DOI":"10.14358\/PERS.86.2.121","volume":"86","author":"W Tao","year":"2020","unstructured":"Tao, W., Hua, X., Wang, R., Xu, D.: Quintuple local coordinate images for local shape description. Photogramm. Eng. Remote Sens. 86(2), 121\u2013132 (2020). https:\/\/doi.org\/10.14358\/PERS.86.2.121","journal-title":"Photogramm. Eng. Remote Sens."},{"issue":"3","key":"2942_CR14","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1145\/1360612.1360684","volume":"27","author":"D Aiger","year":"2008","unstructured":"Aiger, D., Mitra, N.J., Cohen-Or, D.: 4-points congruent sets for robust pairwise surface registration. ACM Trans. Graph. 27(3), 85\u201395 (2008). https:\/\/doi.org\/10.1145\/1360612.1360684","journal-title":"ACM Trans. Graph."},{"key":"2942_CR15","doi-asserted-by":"publisher","unstructured":"Mohamad, M., Ahmed, M.T., Rappaport, D., Greenspan, M.: Super generalized 4PCS for 3D registration. In: 2015 International Conference on 3D Vision. pp. 598\u2013606 (2015). DOI:\u00a0https:\/\/doi.org\/10.1109\/3DV.2015.74","DOI":"10.1109\/3DV.2015.74"},{"issue":"5","key":"2942_CR16","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1109\/34.765655","volume":"21","author":"AE Johnson","year":"1999","unstructured":"Johnson, A.E., Hebert, M.: Using spin images for efficient object recognition in cluttered 3D scenes. IEEE Trans. Pattern Anal. Mach. Intell. 21(5), 433\u2013449 (1999). https:\/\/doi.org\/10.1109\/34.765655","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2942_CR17","doi-asserted-by":"crossref","unstructured":"Rusu, R.B., Blodow, N., Beetz, M.: Fast point feature histograms (FPFH) for 3D registration. In: 2009 IEEE International Conference on Robotics and Automation. pp. 3212\u20133217 (2009)","DOI":"10.1109\/ROBOT.2009.5152473"},{"key":"2942_CR18","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1016\/j.ins.2019.04.020","volume":"512","author":"B Zhao","year":"2020","unstructured":"Zhao, B., Xi, J.: Efficient and accurate 3D modeling based on a novel local feature descriptor. Inf. Sci. 512, 295\u2013314 (2020). https:\/\/doi.org\/10.1016\/j.ins.2019.04.020","journal-title":"Inf. Sci."},{"issue":"7","key":"2942_CR19","doi-asserted-by":"publisher","first-page":"1285","DOI":"10.1109\/TPAMI.2007.1060","volume":"29","author":"S Malassiotis","year":"2007","unstructured":"Malassiotis, S., Strintzis, M.G.: Snapshots: a novel local surface descriptor and matching algorithm for robust 3D surface alignment. IEEE Trans. Pattern Anal. Mach. Intell. 29(7), 1285\u20131290 (2007). https:\/\/doi.org\/10.1109\/TPAMI.2007.1060","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2942_CR20","doi-asserted-by":"crossref","unstructured":"Tombari, F., Salti, S., Di Stefano, L.: Unique signatures of histograms for local surface description. In: European Conference on Computer Vision Conference on Computer Vision. pp. 356\u2013369 (2010)","DOI":"10.1007\/978-3-642-15558-1_26"},{"key":"2942_CR21","doi-asserted-by":"crossref","unstructured":"Frome, A., Huber, D., Kolluri, R., B\u00fclow, T., Malik, J.: Recognizing objects in range data using regional point descriptors. In: Proceedings of the European Conference on Computer Vision. pp. 224\u2013237 (2004)","DOI":"10.1007\/978-3-540-24672-5_18"},{"issue":"1","key":"2942_CR22","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/s11263-013-0627-y","volume":"105","author":"Y Guo","year":"2013","unstructured":"Guo, Y., Sohel, F., Bennamoun, M., Lu, M., Wan, J.: Rotational projection statistics for 3D local surface description and object recognition. Int. J. Comput. Vision 105(1), 63\u201386 (2013). https:\/\/doi.org\/10.1007\/s11263-013-0627-y","journal-title":"Int. J. Comput. Vision"},{"key":"2942_CR23","doi-asserted-by":"publisher","first-page":"107272","DOI":"10.1016\/j.patcog.2020.107272","volume":"103","author":"H Zhao","year":"2020","unstructured":"Zhao, H., Tang, M., Ding, H.: HoPPF: a novel local surface descriptor for 3D object recognition. Pattern Recogn. 103, 107272\u2013107285 (2020). https:\/\/doi.org\/10.1016\/j.patcog.2020.107272","journal-title":"Pattern Recogn."},{"key":"2942_CR24","doi-asserted-by":"publisher","first-page":"107691","DOI":"10.1016\/j.patcog.2020.107691","volume":"111","author":"Y Zhang","year":"2021","unstructured":"Zhang, Y., Li, C., Guo, B., Guo, C., Zhang, S.: KDD: A kernel density based descriptor for 3D point clouds. Pattern Recogn. 111, 107691\u2013107704 (2021). https:\/\/doi.org\/10.1016\/j.patcog.2020.107691","journal-title":"Pattern Recogn."},{"key":"2942_CR25","doi-asserted-by":"publisher","first-page":"2522","DOI":"10.1109\/TIP.2019.2959236","volume":"29","author":"J Yang","year":"2020","unstructured":"Yang, J., Quan, S., Wang, P., Zhang, Y.: Evaluating local geometric feature representations for 3D rigid data matching. IEEE Trans. Image Process. 29, 2522\u20132535 (2020). https:\/\/doi.org\/10.1109\/TIP.2019.2959236","journal-title":"IEEE Trans. Image Process."},{"issue":"6","key":"2942_CR26","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1145\/358669.358692","volume":"24","author":"MA Fischler","year":"1981","unstructured":"Fischler, M.A., Bolles, R.C.: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM. 24(6), 381\u2013395 (1981). https:\/\/doi.org\/10.1145\/358669.358692","journal-title":"Commun. ACM."},{"issue":"3","key":"2942_CR27","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1109\/TIM.2014.2358131","volume":"64","author":"Y Guo","year":"2015","unstructured":"Guo, Y., Bennamoun, M., Sohel, F., Lu, M., Wan, J.: An integrated framework for 3-D modeling, object detection, and pose estimation from point-clouds. IEEE Trans. Instrum. Meas. 64(3), 683\u2013693 (2015). https:\/\/doi.org\/10.1109\/TIM.2014.2358131","journal-title":"IEEE Trans. Instrum. Meas."},{"issue":"10","key":"2942_CR28","doi-asserted-by":"publisher","first-page":"1252","DOI":"10.1016\/j.patrec.2007.02.009","volume":"28","author":"H Chen","year":"2007","unstructured":"Chen, H., Bhanu, B.: 3D free-form object recognition in range images using local surface patches. Pattern Recogn. Lett. 28(10), 1252\u20131262 (2007). https:\/\/doi.org\/10.1016\/j.patrec.2007.02.009","journal-title":"Pattern Recogn. Lett."},{"key":"2942_CR29","doi-asserted-by":"publisher","unstructured":"Albarelli, A., Rodola, E., Torsello, A.: A game-theoretic approach to fine surface registration without initial motion estimation. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. pp. 430\u2013437 (2010). DOI:\u00a0https:\/\/doi.org\/10.1109\/CVPR.2010.5540183","DOI":"10.1109\/CVPR.2010.5540183"},{"key":"2942_CR30","doi-asserted-by":"publisher","unstructured":"Newcombe, R.A., et al.: KinectFusion: real-time dense surface mapping and tracking.In: 2011 10th IEEE International Symposium on Mixed and Augmented Reality. pp. 127\u2013136 (2011). DOI:\u00a0https:\/\/doi.org\/10.1109\/ISMAR.2011.6092378","DOI":"10.1109\/ISMAR.2011.6092378"},{"issue":"7","key":"2942_CR31","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1016\/S0262-8856(03)00060-X","volume":"21","author":"DF Huber","year":"2003","unstructured":"Huber, D.F., Hebert, M.: Fully automatic registration of multiple 3D data sets. Image Vis. Comput. 21(7), 637\u2013650 (2003). https:\/\/doi.org\/10.1016\/S0262-8856(03)00060-X","journal-title":"Image Vis. Comput."},{"issue":"10","key":"2942_CR32","doi-asserted-by":"publisher","first-page":"1584","DOI":"10.1109\/TPAMI.2006.213","volume":"28","author":"AS Mian","year":"2006","unstructured":"Mian, A.S., Bennamoun, M., Owens, R.: Three-dimensional model based object recognition and segmentation in cluttered scenes. IEEE Trans. Pattern Anal. Mach. Intell. 28(10), 1584\u20131601 (2006). https:\/\/doi.org\/10.1109\/TPAMI.2006.213","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"5","key":"2942_CR33","doi-asserted-by":"publisher","first-page":"1377","DOI":"10.1109\/TMM.2014.2316145","volume":"16","author":"Y Guo","year":"2014","unstructured":"Guo, Y., Sohel, F., Bennamoun, M., Wan, J., Lu, M.: An accurate and robust range image registration algorithm for 3D object modeling. IEEE Trans. Multimed. 16(5), 1377\u20131390 (2014). https:\/\/doi.org\/10.1109\/TMM.2014.2316145","journal-title":"IEEE Trans. Multimed."},{"issue":"1","key":"2942_CR34","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1007\/s00371-017-1453-y","volume":"35","author":"J Lim","year":"2019","unstructured":"Lim, J., Lee, K.: 3D object recognition using scale-invariant features. Vis. Comput. 35(1), 71\u201384 (2019). https:\/\/doi.org\/10.1007\/s00371-017-1453-y","journal-title":"Vis. Comput."},{"key":"2942_CR35","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.isprsjprs.2017.10.001","volume":"134","author":"D Zai","year":"2017","unstructured":"Zai, D., Li, J., Guo, Y., Cheng, M., Huang, P., Cao, X., Wang, C.: Pairwise registration of TLS point clouds using covariance descriptors and a non-cooperative game. ISPRS J. Photogramm. Remote. Sens. 134, 15\u201329 (2017). https:\/\/doi.org\/10.1016\/j.isprsjprs.2017.10.001","journal-title":"ISPRS J. Photogramm. Remote. Sens."},{"issue":"6","key":"2942_CR36","doi-asserted-by":"publisher","first-page":"1859","DOI":"10.1109\/TPAMI.2019.2960234","volume":"43","author":"J Yang","year":"2021","unstructured":"Yang, J., Xian, K., Wang, P., Zhang, Y.: A performance evaluation of correspondence grouping methods for 3D rigid data matching. IEEE Trans. Pattern Anal. Mach. Intell. 43(6), 1859\u20131874 (2021). https:\/\/doi.org\/10.1109\/TPAMI.2019.2960234","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2942_CR37","doi-asserted-by":"crossref","unstructured":"Rusu, R.B., Cousins, S.: 3D is here: point cloud library (PCL). In: Proceedings IEEE International Conference Robotics and Automation pp. 1\u20134 (2011)","DOI":"10.1109\/ICRA.2011.5980567"},{"issue":"380","key":"2942_CR38","doi-asserted-by":"publisher","first-page":"454","DOI":"10.1080\/00396265.2020.1831829","volume":"53","author":"W Tao","year":"2020","unstructured":"Tao, W., Hua, X., Li, P., Wu, F., Feng, S., Xu, D.: An iterated reweighting total least squares algorithm formulated by standard least-squares theory. Surv. Rev. 53(380), 454\u2013463 (2020). https:\/\/doi.org\/10.1080\/00396265.2020.1831829","journal-title":"Surv. Rev."},{"key":"2942_CR39","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/widm.1236","volume":"8","author":"JR Peter","year":"2018","unstructured":"Peter, J.R., Mia, H.: Anomaly detection by robust statistics. WIREs Data Min. Knowl. Discovery 8, 1\u201314 (2018). https:\/\/doi.org\/10.1002\/widm.1236","journal-title":"WIREs Data Min. Knowl. Discovery"},{"issue":"2","key":"2942_CR40","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(2), 239\u2013256 (1992). https:\/\/doi.org\/10.1109\/34.121791","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2942_CR41","doi-asserted-by":"publisher","unstructured":"Choi, S., Zhou, Q., Koltun, V.: Robust reconstruction of indoor scenes. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 5556\u20135565 (2015). DOI:\u00a0https:\/\/doi.org\/10.1109\/CVPR.2015.7299195","DOI":"10.1109\/CVPR.2015.7299195"},{"key":"2942_CR42","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1016\/j.patcog.2016.11.019","volume":"65","author":"J Yang","year":"2017","unstructured":"Yang, J., Zhang, Q., Xiao, Y., Cao, Z.: TOLDI: an effective and robust approach for 3D local shape description. Pattern Recogn. 65, 175\u2013187 (2017). https:\/\/doi.org\/10.1016\/j.patcog.2016.11.019","journal-title":"Pattern Recogn."}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-023-02942-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-023-02942-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-023-02942-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,5]],"date-time":"2024-04-05T17:06:20Z","timestamp":1712336780000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-023-02942-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,27]]},"references-count":42,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,4]]}},"alternative-id":["2942"],"URL":"https:\/\/doi.org\/10.1007\/s00371-023-02942-7","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"type":"print","value":"0178-2789"},{"type":"electronic","value":"1432-2315"}],"subject":[],"published":{"date-parts":[[2023,6,27]]},"assertion":[{"value":"8 June 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 June 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"No potential conflict of interest was reported by the authors.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}