{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T22:10:04Z","timestamp":1784585404312,"version":"3.55.0"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T00:00:00Z","timestamp":1734652800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T00:00:00Z","timestamp":1734652800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Shaanxi Science and Technology Association Youth Talent Support Program","award":["20230115"],"award-info":[{"award-number":["20230115"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61802311"],"award-info":[{"award-number":["61802311"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pattern Anal Applic"],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1007\/s10044-024-01386-6","type":"journal-article","created":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T07:38:33Z","timestamp":1734680313000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["EdgeFormer: local patch-based edge detection transformer on point clouds"],"prefix":"10.1007","volume":"28","author":[{"given":"Yifei","family":"Xie","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhikun","family":"Tu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tong","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuhe","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyu","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,12,20]]},"reference":[{"key":"1386_CR1","unstructured":"Qi CR, Su H, Mo K et al (2017) Pointnet: deep learning on point sets for 3D classification and segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"1386_CR2","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1007\/s41095-021-0229-5","volume":"7","author":"MH Guo","year":"2021","unstructured":"Guo MH, Cai JX, Liu ZN et al (2021) Pct: point cloud transformer. Comput Vis Media 7:187\u2013199. https:\/\/doi.org\/10.1007\/s41095-021-0229-5","journal-title":"Comput Vis Media"},{"key":"1386_CR3","doi-asserted-by":"crossref","unstructured":"Tang L, Zhan Y, Chen Z et al (2022) Contrastive boundary learning for point cloud segmentation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp 8489\u20138499","DOI":"10.1109\/CVPR52688.2022.00830"},{"key":"1386_CR4","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1109\/TIP.2020.3031371","volume":"30","author":"M Feng","year":"2021","unstructured":"Feng M, Gilani SZ, Wang Y et al (2021) Relation graph network for 3d object detection in point clouds. IEEE Trans Image Process 30:92\u2013107. https:\/\/doi.org\/10.1109\/TIP.2020.3031371","journal-title":"IEEE Trans Image Process"},{"key":"1386_CR5","doi-asserted-by":"publisher","unstructured":"Wang L, Wang F, Yan F et al (2018) Saliency-guide simplification for point-cloud geometry. In: Proceedings of the International Conference on Machine Vision and Applications. Association for Computing Machinery, New York, NY, USA, ICMVA 2018, pp 36\u201340. https:\/\/doi.org\/10.1145\/3220511.3220523","DOI":"10.1145\/3220511.3220523"},{"key":"1386_CR6","doi-asserted-by":"publisher","unstructured":"Zhang L, Sun Q, He Y (2014) Splatting lines: an efficient method for illustrating 3d surfaces and volumes. In: Proceedings of the 18th Meeting of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games. Association for Computing Machinery, New York, NY, USA, I3D \u201914, pp 135\u2013142. https:\/\/doi.org\/10.1145\/2556700.2556703","DOI":"10.1145\/2556700.2556703"},{"key":"1386_CR7","doi-asserted-by":"publisher","DOI":"10.1145\/3470645","author":"G Metzer","year":"2021","unstructured":"Metzer G, Hanocka R, Giryes R et al (2021) Self-sampling for neural point cloud consolidation. ACM Trans Graph. https:\/\/doi.org\/10.1145\/3470645","journal-title":"ACM Trans Graph"},{"issue":"3","key":"1386_CR8","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1111\/1467-8659.00675","volume":"22","author":"M Pauly","year":"2003","unstructured":"Pauly M, Keiser R, Gross M (2003) Multi-scale feature extraction on point-sampled surfaces. Comput Graph Forum 22(3):281\u2013289. https:\/\/doi.org\/10.1111\/1467-8659.00675","journal-title":"Comput Graph Forum"},{"issue":"8","key":"1386_CR9","doi-asserted-by":"publisher","first-page":"1288","DOI":"10.1109\/LGRS.2017.2707467","volume":"14","author":"S Xia","year":"2017","unstructured":"Xia S, Wang R (2017) A fast edge extraction method for mobile lidar point clouds. IEEE Geosci Remote Sens Lett 14(8):1288\u20131292. https:\/\/doi.org\/10.1109\/LGRS.2017.2707467","journal-title":"IEEE Geosci Remote Sens Lett"},{"issue":"6","key":"1386_CR10","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1111\/cgf.14500","volume":"41","author":"B Guo","year":"2022","unstructured":"Guo B, Zhang Y, Gao J et al (2022) Sglbp: subgraph-based local binary patterns for feature extraction on point clouds. Comput Graph Forum 41(6):51\u201366. https:\/\/doi.org\/10.1111\/cgf.14500","journal-title":"Comput Graph Forum"},{"issue":"6","key":"1386_CR11","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1007\/s00371-008-0223-2","volume":"24","author":"J Daniels II","year":"2008","unstructured":"Daniels J II, Ochotta T, Ha LK et al (2008) Spline-based feature curves from point-sampled geometry. Vis Comput 24(6):449\u2013462. https:\/\/doi.org\/10.1007\/s00371-008-0223-2","journal-title":"Vis Comput"},{"key":"1386_CR12","doi-asserted-by":"publisher","unstructured":"Yu L, Li X, Fu CW et al (2018) Ec-net: an edge-aware point set consolidation network. In: Computer Vision - ECCV 2018: 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VII. Springer-Verlag, Berlin, Heidelberg, pp 398\u2013414. https:\/\/doi.org\/10.1007\/978-3-030-01234-2_24","DOI":"10.1007\/978-3-030-01234-2_24"},{"key":"1386_CR13","unstructured":"Wang X, Xu Y, Xu K et al (2020) Pie-net: parametric inference of point cloud edges. In: Proceedings of the 34th International Conference on Neural Information Processing Systems. Curran Associates Inc., Red Hook, NY, USA, NIPS\u201920"},{"key":"1386_CR14","doi-asserted-by":"crossref","unstructured":"Zhu X, Du D, Chen W et al (2023) Nerve: neural volumetric edges for parametric curve extraction from point cloud. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp 13601\u201313610","DOI":"10.1109\/CVPR52729.2023.01307"},{"key":"1386_CR15","doi-asserted-by":"publisher","unstructured":"Rusu RB, Cousins S (2011) 3D is here: point cloud library (pcl). In: 2011 IEEE International Conference on Robotics and Automation. IEEE, Shanghai, China, pp 1\u20134. https:\/\/doi.org\/10.1109\/ICRA.2011.5980567","DOI":"10.1109\/ICRA.2011.5980567"},{"key":"1386_CR16","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1016\/j.cag.2016.01.004","volume":"56","author":"Y Zhang","year":"2016","unstructured":"Zhang Y, Geng G, Wei X et al (2016) A statistical approach for extraction of feature lines from point clouds. Comput Graph 56:31\u201345. https:\/\/doi.org\/10.1016\/j.cag.2016.01.004","journal-title":"Comput Graph"},{"key":"1386_CR17","doi-asserted-by":"crossref","unstructured":"Mo K, Zhu S, Chang AX et al (2019) Partnet: a large-scale benchmark for fine-grained and hierarchical part-level 3d object understanding. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","DOI":"10.1109\/CVPR.2019.00100"},{"issue":"6","key":"1386_CR18","doi-asserted-by":"publisher","first-page":"743","DOI":"10.1109\/TVCG.2010.261","volume":"17","author":"Q M\u00e9rigot","year":"2011","unstructured":"M\u00e9rigot Q, Ovsjanikov M, Guibas LJ (2011) Voronoi-based curvature and feature estimation from point clouds. IEEE Trans Vis Comput Graph 17(6):743\u2013756. https:\/\/doi.org\/10.1109\/TVCG.2010.261","journal-title":"IEEE Trans Vis Comput Graph"},{"issue":"4","key":"1386_CR19","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1016\/j.cad.2006.12.005","volume":"39","author":"K Demarsin","year":"2007","unstructured":"Demarsin K, Vanderstraeten D, Volodine T et al (2007) Detection of closed sharp edges in point clouds using normal estimation and graph theory. Comput Aided Des 39(4):276\u2013283. https:\/\/doi.org\/10.1016\/j.cad.2006.12.005","journal-title":"Comput Aided Des"},{"key":"1386_CR20","doi-asserted-by":"publisher","unstructured":"Bazazian D, Casas JR, Ruiz-Hidalgo J (2015) Fast and robust edge extraction in unorganized point clouds. In: 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, Adelaide, Australia, pp 1\u20138. https:\/\/doi.org\/10.1109\/DICTA.2015.7371262","DOI":"10.1109\/DICTA.2015.7371262"},{"key":"1386_CR21","unstructured":"Gumhold S, Wang X, MacLeod R (2001) Feature extraction from point clouds. In: Proceedings of the 10th international meshing roundtable, pp 293\u2013305"},{"key":"1386_CR22","doi-asserted-by":"publisher","unstructured":"Weber C, Hahmann S, Hagen H (2010) Sharp feature detection in point clouds. In: Proceedings of the 2010 Shape Modeling International Conference. IEEE Computer Society, USA, SMI \u201910, pp 175\u2013186. https:\/\/doi.org\/10.1109\/SMI.2010.32","DOI":"10.1109\/SMI.2010.32"},{"issue":"2","key":"1386_CR23","doi-asserted-by":"publisher","first-page":"1003","DOI":"10.1109\/TASE.2021.3053006","volume":"19","author":"H Chen","year":"2022","unstructured":"Chen H, Huang Y, Xie Q et al (2022) Multiscale feature line extraction from raw point clouds based on local surface variation and anisotropic contraction. IEEE Trans Autom Sci Eng 19(2):1003\u20131016. https:\/\/doi.org\/10.1109\/TASE.2021.3053006","journal-title":"IEEE Trans Autom Sci Eng"},{"key":"1386_CR24","doi-asserted-by":"publisher","unstructured":"Daniels JI, Ha LK, Ochotta T et al (2007) Robust smooth feature extraction from point clouds. In: Proceedings of the IEEE International Conference on Shape Modeling and Applications 2007. IEEE Computer Society, USA, SMI \u201907, pp 123\u2013136. https:\/\/doi.org\/10.1109\/SMI.2007.32","DOI":"10.1109\/SMI.2007.32"},{"issue":"3","key":"1386_CR25","doi-asserted-by":"publisher","first-page":"609","DOI":"10.1145\/1015706.1015768","volume":"23","author":"Y Ohtake","year":"2004","unstructured":"Ohtake Y, Belyaev A, Seidel HP (2004) Ridge-valley lines on meshes via implicit surface fitting. ACM Trans Graph 23(3):609\u2013612. https:\/\/doi.org\/10.1145\/1015706.1015768","journal-title":"ACM Trans Graph"},{"key":"1386_CR26","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1016\/j.isprsjprs.2014.12.027","volume":"102","author":"Y Lin","year":"2015","unstructured":"Lin Y, Wang C, Cheng J et al (2015) Line segment extraction for large scale unorganized point clouds. ISPRS J Photogramm Remote Sens 102:172\u2013183. https:\/\/doi.org\/10.1016\/j.isprsjprs.2014.12.027","journal-title":"ISPRS J Photogramm Remote Sens"},{"issue":"5","key":"1386_CR27","doi-asserted-by":"publisher","first-page":"536","DOI":"10.1109\/TVCG.2004.24","volume":"10","author":"G Stylianou","year":"2004","unstructured":"Stylianou G, Farin G (2004) Crest lines for surface segmentation and flattening. IEEE Trans Vis Comput Graph 10(5):536\u2013544. https:\/\/doi.org\/10.1109\/TVCG.2004.24","journal-title":"IEEE Trans Vis Comput Graph"},{"key":"1386_CR28","unstructured":"Hildebrandt K, Polthier K, Wardetzky M (2005) Smooth feature lines on surface meshes. In: Proceedings of the Third Eurographics Symposium on Geometry Processing. Eurographics Association, Goslar, DEU, SGP \u201905, pp 85\u201390"},{"key":"1386_CR29","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1016\/j.cag.2019.05.020","volume":"82","author":"Q Gao","year":"2019","unstructured":"Gao Q, Yamaguchi Y (2019) Extraction of coherent and smooth feature lines from meshes with fine details. Comput Graph 82:222\u2013231. https:\/\/doi.org\/10.1016\/j.cag.2019.05.020","journal-title":"Comput Graph"},{"key":"1386_CR30","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.autcon.2019.01.009","volume":"101","author":"Q Wang","year":"2019","unstructured":"Wang Q, Sohn H, Cheng JC (2019) Development of high-accuracy edge line estimation algorithms using terrestrial laser scanning. Autom Constr 101:59\u201371. https:\/\/doi.org\/10.1016\/j.autcon.2019.01.009","journal-title":"Autom Constr"},{"key":"1386_CR31","doi-asserted-by":"publisher","unstructured":"Hackel T, Wegner JD, Schindler K (2016) Contour detection in unstructured 3D point clouds. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Las Vegas, NV, USA, pp 1610\u20131618. https:\/\/doi.org\/10.1109\/CVPR.2016.178","DOI":"10.1109\/CVPR.2016.178"},{"issue":"5","key":"1386_CR32","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1111\/cgf.14078","volume":"39","author":"M Loizou","year":"2020","unstructured":"Loizou M, Averkiou M, Kalogerakis E (2020) Learning part boundaries from 3D point clouds. Comput Graph Forum 39(5):183\u2013195. https:\/\/doi.org\/10.1111\/cgf.14078","journal-title":"Comput Graph Forum"},{"key":"1386_CR33","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530140","author":"A Matveev","year":"2022","unstructured":"Matveev A, Rakhimov R, Artemov A et al (2022) Def: deep estimation of sharp geometric features in 3D shapes. ACM Trans Graph. https:\/\/doi.org\/10.1145\/3528223.3530140","journal-title":"ACM Trans Graph"},{"key":"1386_CR34","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1007\/978-3-030-58565-5_14","volume-title":"Computer vision\u2014ECCV 2020","author":"Z Hu","year":"2020","unstructured":"Hu Z, Zhen M, Bai X et al (2020) Jsenet: joint semantic segmentation and edge detection network for 3D point clouds. In: Vedaldi A, Bischof H, Brox T et al (eds) Computer vision\u2014ECCV 2020. Springer International Publishing, Cham, pp 222\u2013239"},{"issue":"4","key":"1386_CR35","doi-asserted-by":"publisher","first-page":"1833","DOI":"10.3390\/app11041833","volume":"11","author":"D Bazazian","year":"2021","unstructured":"Bazazian D, Par\u00e9s ME (2021) Edc-net: edge detection capsule network for 3D point clouds. Appl Sci 11(4):1833. https:\/\/doi.org\/10.3390\/app11041833","journal-title":"Appl Sci"},{"key":"1386_CR36","doi-asserted-by":"publisher","DOI":"10.1145\/3481804","author":"CE Himeur","year":"2021","unstructured":"Himeur CE, Lejemble T, Pellegrini T et al (2021) Pcednet: a lightweight neural network for fast and interactive edge detection in 3D point clouds. ACM Trans Graph. https:\/\/doi.org\/10.1145\/3481804","journal-title":"ACM Trans Graph"},{"key":"1386_CR37","doi-asserted-by":"publisher","first-page":"334","DOI":"10.1016\/j.isprsjprs.2023.09.023","volume":"205","author":"L Bode","year":"2023","unstructured":"Bode L, Weinmann M, Klein R (2023) Bounded: neural boundary and edge detection in 3D point clouds via local neighborhood statistics. ISPRS J Photogramm Remote Sens 205:334\u2013351. https:\/\/doi.org\/10.1016\/j.isprsjprs.2023.09.023","journal-title":"ISPRS J Photogramm Remote Sens"},{"key":"1386_CR38","doi-asserted-by":"publisher","DOI":"10.1016\/j.cad.2022.103468","volume":"157","author":"YF Feng","year":"2023","unstructured":"Feng YF, Shen LY, Yuan CM et al (2023) Deep shape representation with sharp feature preservation. Comput Aided Des 157:103468. https:\/\/doi.org\/10.1016\/j.cad.2022.103468","journal-title":"Comput Aided Des"},{"key":"1386_CR39","doi-asserted-by":"crossref","unstructured":"Ye Y, Yi R, Gao Z et al (2023) Nef: neural edge fields for 3D parametric curve reconstruction from multi-view images. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp 8486\u20138495","DOI":"10.1109\/CVPR52729.2023.00820"},{"key":"1386_CR40","unstructured":"Vaswani A, Shazeer N, Parmar N et al (2017) Attention is all you need. In: Guyon I, Luxburg UV, Bengio S et al (eds) Advances in neural information processing systems"},{"issue":"12","key":"1386_CR41","doi-asserted-by":"publisher","first-page":"24854","DOI":"10.1109\/TITS.2022.3198836","volume":"23","author":"D Lu","year":"2022","unstructured":"Lu D, Xie Q, Gao K et al (2022) 3dctn: 3D convolution-transformer network for point cloud classification. IEEE Trans Intell Transp Syst 23(12):24854\u201324865. https:\/\/doi.org\/10.1109\/TITS.2022.3198836","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"1386_CR42","doi-asserted-by":"publisher","unstructured":"Zhao H, Jiang L, Jia J et al (2021) Point transformer. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV). IEEE, Montreal, QC, Canada, pp 16239\u201316248. https:\/\/doi.org\/10.1109\/ICCV48922.2021.01595","DOI":"10.1109\/ICCV48922.2021.01595"},{"key":"1386_CR43","doi-asserted-by":"publisher","unstructured":"Du H, Yan X, Wang J et al (2022) Point cloud upsampling via cascaded refinement network. In: Proceedings of the Asian Conference on Computer Vision (ACCV). Springer, Macao, China, pp 586\u2013601. https:\/\/doi.org\/10.1007\/978-3-031-26319-4_7","DOI":"10.1007\/978-3-031-26319-4_7"},{"key":"1386_CR44","doi-asserted-by":"publisher","unstructured":"Yu X, Rao Y, Wang Z et al (2021) Pointr: diverse point cloud completion with geometry-aware transformers. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV). IEEE, Montreal, QC, Canada, pp 12478\u201312487. https:\/\/doi.org\/10.1109\/ICCV48922.2021.01227","DOI":"10.1109\/ICCV48922.2021.01227"},{"issue":"1","key":"1386_CR45","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1080\/10867651.1998.10487487","volume":"3","author":"G Th\u00fcrrner","year":"1998","unstructured":"Th\u00fcrrner G, W\u00fcthrich CA (1998) Computing vertex normals from polygonal facets. J Graph Tools 3(1):43\u201346. https:\/\/doi.org\/10.1080\/10867651.1998.10487487","journal-title":"J Graph Tools"},{"issue":"2","key":"1386_CR46","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/10867651.1999.10487501","volume":"4","author":"N Max","year":"1999","unstructured":"Max N (1999) Weights for computing vertex normals from facet normals. J Graph Tools 4(2):1\u20136. https:\/\/doi.org\/10.1080\/10867651.1999.10487501","journal-title":"J Graph Tools"},{"key":"1386_CR47","doi-asserted-by":"publisher","unstructured":"Koch S, Matveev A, Jiang Z et al (2019) Abc: a big cad model dataset for geometric deep learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Long Beach, CA, USA, pp 9593\u20139603. https:\/\/doi.org\/10.1109\/CVPR.2019.00983","DOI":"10.1109\/CVPR.2019.00983"},{"key":"1386_CR48","doi-asserted-by":"publisher","unstructured":"Besl PJ, McKay ND (1992) Method for registration of 3-D shapes. In: Sensor Fusion IV: Control Paradigms and Data Structures, International Society for Optics and Photonics, pp 586\u2013606. https:\/\/doi.org\/10.1117\/12.57955","DOI":"10.1117\/12.57955"},{"key":"1386_CR49","unstructured":"Moscoso Thompson E, Arvanitis G, Moustakas K, et al (2019) Shrec\u201919 track: feature curve extraction on triangle meshes. In: 12th EG Workshop 3D Object Retrieval 2019, Italy, pp 1\u20138"},{"issue":"9","key":"1386_CR50","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1016\/S0262-8856(98)00074-2","volume":"16","author":"A Johnson","year":"1998","unstructured":"Johnson A, Hebert M (1998) Surface matching for object recognition in complex three-dimensional scenes. Image Vis Comput 16(9):635\u2013651. https:\/\/doi.org\/10.1016\/S0262-8856(98)00074-2","journal-title":"Image Vis Comput"},{"key":"1386_CR51","doi-asserted-by":"publisher","unstructured":"Frome A, Huber D, Kolluri R et al (2004) Recognizing objects in range data using regional point descriptors. In: Pajdla T, Matas J (eds) Computer Vision\u2014ECCV 2004. Springer Berlin Heidelberg, Berlin, Heidelberg, pp 224\u2013237. https:\/\/doi.org\/10.1007\/978-3-540-24672-5_18","DOI":"10.1007\/978-3-540-24672-5_18"},{"key":"1386_CR52","doi-asserted-by":"publisher","unstructured":"Tombari F, Salti S, Di Stefano L (2010) Unique signatures of histograms for local surface description. In: Daniilidis K, Maragos P, Paragios N (eds) Computer vision \u2013 ECCV 2010. Springer Berlin Heidelberg, Berlin, Heidelberg, pp 356\u2013369. https:\/\/doi.org\/10.1007\/978-3-642-15558-1_26","DOI":"10.1007\/978-3-642-15558-1_26"},{"key":"1386_CR53","doi-asserted-by":"publisher","unstructured":"Rusu RB, Blodow N, Marton ZC et al (2008) Aligning point cloud views using persistent feature histograms. In: 2008 IEEE\/RSJ International Conference on Intelligent Robots and Systems, pp 3384\u20133391. https:\/\/doi.org\/10.1109\/IROS.2008.4650967","DOI":"10.1109\/IROS.2008.4650967"}],"container-title":["Pattern Analysis and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-024-01386-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10044-024-01386-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-024-01386-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,11]],"date-time":"2025-02-11T20:10:30Z","timestamp":1739304630000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10044-024-01386-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,20]]},"references-count":53,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,3]]}},"alternative-id":["1386"],"URL":"https:\/\/doi.org\/10.1007\/s10044-024-01386-6","relation":{},"ISSN":["1433-7541","1433-755X"],"issn-type":[{"value":"1433-7541","type":"print"},{"value":"1433-755X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,20]]},"assertion":[{"value":"22 April 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 November 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 December 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no conflict of interest to declare that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent"}}],"article-number":"11"}}