{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:35:56Z","timestamp":1767339356892,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":36,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819784899"},{"type":"electronic","value":"9789819784905"}],"license":[{"start":{"date-parts":[[2024,11,7]],"date-time":"2024-11-07T00:00:00Z","timestamp":1730937600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,7]],"date-time":"2024-11-07T00:00:00Z","timestamp":1730937600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-97-8490-5_29","type":"book-chapter","created":{"date-parts":[[2024,11,6]],"date-time":"2024-11-06T09:15:03Z","timestamp":1730884503000},"page":"406-420","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["DRC-NET: Density Reweighted Convolution Network for Edge Curve Extraction"],"prefix":"10.1007","author":[{"given":"Xiaojuan","family":"Ning","sequence":"first","affiliation":[]},{"given":"Qishuai","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Yuexuan","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Haiyan","family":"Jin","sequence":"additional","affiliation":[]},{"given":"Yinghui","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Xiaopeng","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Jianwei","family":"Guo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,11,7]]},"reference":[{"key":"29_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2020.103338","volume":"120","author":"M Bassier","year":"2020","unstructured":"Bassier, M., Vergauwen, M.: Unsupervised reconstruction of Building Information Modeling wall objects from point cloud data. Autom. Constr. 120, 103338 (2020)","journal-title":"Autom. Constr."},{"key":"29_CR2","doi-asserted-by":"publisher","first-page":"18863","DOI":"10.1109\/ACCESS.2020.2968465","volume":"8","author":"C Chen","year":"2020","unstructured":"Chen, C., Chen, L., Liu, L., He, S., Yuan, X., Lan, D., Chen, Z.: Delay-optimized V2V-based computation offloading in urban vehicular edge computing and networks. IEEE Access 8, 18863\u201318873 (2020)","journal-title":"IEEE Access"},{"key":"29_CR3","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.ins.2021.04.069","volume":"571","author":"X-T Chen","year":"2021","unstructured":"Chen, X.-T., Li, Y., Fan, J.-H., Wang, R.: RGAM: A novel network architecture for 3D point cloud semantic segmentation in indoor scenes. Inf. Sci. 571, 87\u2013103 (2021)","journal-title":"Inf. Sci."},{"key":"29_CR4","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1016\/j.ins.2022.10.086","volume":"614","author":"E Hu","year":"2022","unstructured":"Hu, E., Sun, L.: DANIEL: A fast and robust consensus maximization method for point cloud registration with high outlier ratios. Inf. Sci. 614, 563\u2013579 (2022)","journal-title":"Inf. Sci."},{"key":"29_CR5","first-page":"1","volume":"70","author":"Y Cui","year":"2021","unstructured":"Cui, Y., An, Y., Sun, W., Hu, H., Song, X.: Multiscale adaptive edge detector for images based on a novel standard deviation map. IEEE Trans. Instrum. Meas. 70, 1\u201313 (2021)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"29_CR6","doi-asserted-by":"publisher","first-page":"631","DOI":"10.1109\/LGRS.2019.2926428","volume":"17","author":"Y Luo","year":"2020","unstructured":"Luo, Y., An, D., Wang, W., Huang, X.: Improved ROEWA SAR image edge detector based on curvilinear structures extraction. IEEE Geosci. Remote Sens. Lett. 17, 631\u2013635 (2020)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"29_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.104715","volume":"110","author":"S Baltierra","year":"2022","unstructured":"Baltierra, S., Valdebenito, J., Mora, M.: A proposal of edge detection in images with multiplicative noise using the Ant Colony System algorithm. Eng. Appl. Artif. Intell. 110, 104715 (2022)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"29_CR8","doi-asserted-by":"crossref","unstructured":"Kong, H.: Building edge extraction based on DSM digital surface model and LIDAR point cloud data. In: IOP Conference Series: Earth and Environment Science, vol. 384, p. 012184 (2019)","DOI":"10.1088\/1755-1315\/384\/1\/012184"},{"key":"29_CR9","first-page":"1","volume":"71","author":"T Ye","year":"2022","unstructured":"Ye, T., Yan, X., Wang, S., Li, Y., Zhou, F.: An efficient 3-D point cloud place recognition approach based on feature point extraction and transformer. IEEE Trans. Instrum. Meas. 71, 1\u20139 (2022)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"29_CR10","doi-asserted-by":"publisher","first-page":"3484","DOI":"10.3390\/rs13173484","volume":"13","author":"J Wan","year":"2021","unstructured":"Wan, J., Xie, Z., Xu, Y., Zeng, Z., Yuan, D., Qiu, Q.: DGANet: A dilated graph attention-based network for local feature extraction on 3D point clouds. Remote Sens. 13, 3484 (2021)","journal-title":"Remote Sens."},{"key":"29_CR11","doi-asserted-by":"crossref","unstructured":"L. Yu, X. Li, C.-W. Fu, D. Cohen-Or, P.-A. Heng, EC-Net: An edge-aware point set consolidation network. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 386\u2013402 (2018)","DOI":"10.1007\/978-3-030-01234-2_24"},{"key":"29_CR12","first-page":"20167","volume":"33","author":"X Wang","year":"2020","unstructured":"Wang, X., Xu, Y., Xu, K., Tagliasacchi, A., Zhou, B., Mahdavi-Amiri, A., Zhang, H.: PIE-NET: Parametric inference of point cloud edges. Adv. Neural Inf. Process. Syst. (NeurIPS) 33, 20167\u201320178 (2020)","journal-title":"Adv. Neural Inf. Process. Syst. (NeurIPS)"},{"key":"29_CR13","doi-asserted-by":"publisher","first-page":"710","DOI":"10.3390\/rs8090710","volume":"8","author":"H Ni","year":"2016","unstructured":"Ni, H., Lin, X., Ning, X., Zhang, J.: Edge detection and feature line tracing in 3D-point clouds by analyzing geometric properties of neighborhoods. Remote Sens. 8, 710 (2016)","journal-title":"Remote Sens."},{"key":"29_CR14","unstructured":"Bin, Z., Xiaolong, C., Shaolong, L.: Building point cloud elevation boundary extraction based on PCA normal vector estimation. Geomat. Spatial Inf. Technol. 38-40 (2021)"},{"issue":"4","key":"29_CR15","doi-asserted-by":"publisher","first-page":"1693","DOI":"10.1109\/TVCG.2018.2827998","volume":"25","author":"J Zhang","year":"2019","unstructured":"Zhang, J., Cao, J., Liu, X., Chen, H., Li, B., Liu, L.: Multi-normal estimation via pair consistency voting. IEEE Trans. Visual Comput. Graphics 25(4), 1693\u20131706 (2019)","journal-title":"IEEE Trans. Visual Comput. Graphics"},{"key":"29_CR16","doi-asserted-by":"crossref","unstructured":"Hackel, T., Wegner, J.D., Schindler, K.: Contour detection in unstructured 3D point clouds. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 610\u20131618 (2016)","DOI":"10.1109\/CVPR.2016.178"},{"key":"29_CR17","doi-asserted-by":"publisher","first-page":"4839","DOI":"10.1109\/TGRS.2016.2639025","volume":"55","author":"Y Lin","year":"2017","unstructured":"Lin, Y., Wang, C., Chen, B., Zai, D., Li, J.: Facet segmentation-based line segment extraction for large-scale point clouds. IEEE Trans. Geosci. Remote Sens. 55, 4839\u20134854 (2017)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"29_CR18","doi-asserted-by":"crossref","unstructured":"Weber, C., Hahmann, S., Hagen, H.: Sharp feature detection in point clouds. In: 2010 Shape Modeling International Conference, pp. 175\u2013186 (2010)","DOI":"10.1109\/SMI.2010.32"},{"key":"29_CR19","unstructured":"Shi, H., Wang, J.: Feature line extraction for point cloud based on normal vector region clustering segmentation. China Mech. Engin. 2552\u20132561 (2021)"},{"key":"29_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3481804","volume":"41","author":"C-E Himeur","year":"2022","unstructured":"Himeur, C.-E., Lejemble, T., Pellegrini, T., Paulin, M., Barthe, L., Mellado, N.: PCEDNet: A lightweight neural network for fast and interactive edge detection in 3D point clouds. ACM Trans. Graph. 41, 1\u201321 (2022)","journal-title":"ACM Trans. Graph."},{"key":"29_CR21","doi-asserted-by":"publisher","first-page":"1833","DOI":"10.3390\/app11041833","volume":"11","author":"D Bazazian","year":"2021","unstructured":"Bazazian, D., Par\u00e9s, M.E.: EDC-Net: Edge detection capsule network for 3D point clouds. Appl. Sci. 11, 1833 (2021)","journal-title":"Appl. Sci."},{"key":"29_CR22","doi-asserted-by":"crossref","unstructured":"Zhu, X., Du, D., Chen, W., Zhao, Z., Nie, Y., Han, X.: 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 (2023)","DOI":"10.1109\/CVPR52729.2023.01307"},{"key":"29_CR23","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1016\/j.cag.2023.03.003","volume":"112","author":"X Huang","year":"2023","unstructured":"Huang, X., Han, B., Ning, Y., Cao, J., Bi, Y.: Edge-based feature extraction module for 3D point cloud shape classification. Comput. Graph. 112, 31\u201339 (2023)","journal-title":"Comput. Graph."},{"key":"29_CR24","doi-asserted-by":"crossref","unstructured":"Li, Y., Guo, J., Liu, S., Guo, J., Yang, X., Guo, Y.: Surface and edge detection for primitive fitting of point clouds. ACM SIGGRAPH Conf. Proc. Conf. Proc. Article No. 44, 1\u201310 (2023)","DOI":"10.1145\/3588432.3591522"},{"key":"29_CR25","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.: A fast edge extraction method for mobile lidar point clouds. IEEE Geosci. Remote Sens. Lett. 14, 1288\u20131292 (2017)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"29_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.cad.2020.102949","volume":"131","author":"Z Lu","year":"2021","unstructured":"Lu, Z., Guo, J., Xiao, J., Wang, Y., Zhang, X., Yan, D.-M.: Extracting cycle-aware feature curve networks from 3D models. Comput. Aided Des. 131, 102949 (2021)","journal-title":"Comput. Aided Des."},{"key":"29_CR27","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.isprsjprs.2014.05.012","volume":"95","author":"B Yang","year":"2014","unstructured":"Yang, B., Zang, Y.: Automated registration of dense terrestrial laser-scanning point clouds using curves. ISPRS J. Photogramm. Remote. Sens. 95, 109\u2013121 (2014)","journal-title":"ISPRS J. Photogramm. Remote. Sens."},{"key":"29_CR28","doi-asserted-by":"crossref","unstructured":"Daniels, J.I., Ha, L.K., Ochotta, T., Silva, C.T.: Robust smooth feature extraction from point clouds. In: IEEE International Conference on Shape Modeling and Applications 2007 (SMI \u201907), pp. 123\u2013136 (2007)","DOI":"10.1109\/SMI.2007.32"},{"key":"29_CR29","doi-asserted-by":"crossref","unstructured":"Qiu, X., Zhang, Y., Zhou, Y.: Automatic extraction of boundary characteristic from non-Closed point cloud model. In: First International Conference on Electronics Instrumentation and Information Systems (EIIS), pp. 1\u20136 (2017)","DOI":"10.1109\/EIIS.2017.8298739"},{"key":"29_CR30","doi-asserted-by":"crossref","unstructured":"Matveev, A., Artemov, A., Zorin, D., Burnaev, E.: 3D parametric wireframe extraction based on distance fields. In: 4th International Conference on Artificial Intelligence and Pattern Recognition, pp. 316\u2013322 (2021)","DOI":"10.1145\/3488933.3488982"},{"key":"29_CR31","doi-asserted-by":"crossref","unstructured":"Sun, J., Jiang, Y., Jiang, J., Bai, X.: Triangular mesh construction based on point cloud matrix and edge feature extraction. In: IEEE Information Technology, Networking, Electronic and Automation Control Conference, pp. 275\u2013279 (2016)","DOI":"10.1109\/ITNEC.2016.7560364"},{"key":"29_CR32","unstructured":"Zhang, Z., Wei, X., Zhou, Z.: 8N-DD-based point cloud edge extraction algorithm. Chinese J. Sci. Instrum. 2015\u20132021 (2017)"},{"key":"29_CR33","unstructured":"Huang, C.-Q., Jiang, F., Huang, Q.-H., Wang, X.-Z., Han, Z.-M., Huang, W.-Y.: Dual-graph attention convolution network for 3-D point cloud classification. IEEE Trans. Neural Netw. Learn. Syst. 1\u201313 (2022)"},{"issue":"4","key":"29_CR34","doi-asserted-by":"publisher","first-page":"4798","DOI":"10.1109\/TNNLS.2022.3155282","volume":"35","author":"Z Du","year":"2022","unstructured":"Du, Z., Ye, H., Cao, F.: A novel local-global graph convolutional method for point cloud semantic segmentation. IEEE Trans. Neural Netw. Learn. Syst. 35(4), 4798\u20134812 (2022)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"4","key":"29_CR35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3528223.3530140","volume":"41","author":"A Matveev","year":"2022","unstructured":"Matveev, A., Rakhimov, R., Artemov, A., Bobrovskikh, G., Egiazarian, V., Bogomolov, E., Panozzo, D., Zorin, D., Burnaev, E.: DEF: Deep estimation of sharp geometric features in 3D shapes. ACM Trans. Graph. 41(4), 1\u201322 (2022)","journal-title":"ACM Trans. Graph."},{"key":"29_CR36","doi-asserted-by":"crossref","unstructured":"Yu, L., Li, X., Fu, C.-W., Cohen-Or, D., Heng, P.-A.: PU-Net: Point cloud upsampling network. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2790\u20132799 (2018)","DOI":"10.1109\/CVPR.2018.00295"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-8490-5_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,6]],"date-time":"2024-11-06T09:18:10Z","timestamp":1730884690000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-8490-5_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,7]]},"ISBN":["9789819784899","9789819784905"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-8490-5_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,7]]},"assertion":[{"value":"7 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition and Computer Vision  (PRCV)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Urumqi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2024.prcv.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}