{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,29]],"date-time":"2025-04-29T10:34:25Z","timestamp":1745922865969,"version":"3.40.3"},"publisher-location":"Cham","reference-count":47,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030948924"},{"type":"electronic","value":"9783030948931"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-94893-1_3","type":"book-chapter","created":{"date-parts":[[2022,1,22]],"date-time":"2022-01-22T13:02:27Z","timestamp":1642856547000},"page":"53-79","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["CSG Tree Extraction from 3D Point Clouds and Meshes Using a Hybrid Approach"],"prefix":"10.1007","author":[{"given":"Markus","family":"Friedrich","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steffen","family":"Illium","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pierre-Alain","family":"Fayolle","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Claudia","family":"Linnhoff-Popien","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,1,22]]},"reference":[{"issue":"3","key":"3_CR1","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1007\/s00371-006-0375-x","volume":"22","author":"M Attene","year":"2006","unstructured":"Attene, M., Falcidieno, B., Spagnuolo, M.: Hierarchical mesh segmentation based on fitting primitives. Vis. Comput. 22(3), 181\u2013193 (2006)","journal-title":"Vis. Comput."},{"issue":"11","key":"3_CR2","doi-asserted-by":"publisher","first-page":"839","DOI":"10.1016\/S0010-4485(01)00100-2","volume":"33","author":"P Benk\u0151","year":"2001","unstructured":"Benk\u0151, P., Martin, R.R., V\u00e1rady, T.: Algorithms for reverse engineering boundary representation models. Comput. Aided Des. 33(11), 839\u2013851 (2001)","journal-title":"Comput. Aided Des."},{"issue":"11","key":"3_CR3","doi-asserted-by":"publisher","first-page":"1063","DOI":"10.1016\/j.cad.2004.01.006","volume":"36","author":"SF Buchele","year":"2004","unstructured":"Buchele, S.F., Crawford, R.H.: Three-dimensional halfspace constructive solid geometry tree construction from implicit boundary representations. Comput. Aided Des. 36(11), 1063\u20131073 (2004)","journal-title":"Comput. Aided Des."},{"key":"3_CR4","doi-asserted-by":"crossref","unstructured":"Chen, Z., Tagliasacchi, A., Zhang, H.: BSP-Net: generating compact meshes via binary space partitioning. arXiv preprint arXiv:1911.06971 (2019)","DOI":"10.1109\/CVPR42600.2020.00012"},{"issue":"23","key":"3_CR5","doi-asserted-by":"publisher","first-page":"905","DOI":"10.1145\/1015706.1015817","volume":"3","author":"D Cohen-Steiner","year":"2004","unstructured":"Cohen-Steiner, D., Alliez, P., Desbrun, M.: Variational shape approximation. ACM Trans. Graph. 3(23), 905\u2013914 (2004)","journal-title":"ACM Trans. Graph."},{"key":"3_CR6","doi-asserted-by":"crossref","unstructured":"Deng, B., Genova, K., Yazdani, S., Bouaziz, S., Hinton, G., Tagliasacchi, A.: CvxNets: learnable convex decomposition. arXiv preprint arXiv:1909.05736 (2019)","DOI":"10.1109\/CVPR42600.2020.00011"},{"key":"3_CR7","doi-asserted-by":"crossref","unstructured":"Du, T., et al.: InverseCSG: automatic conversion of 3D models to CSG trees. ACM Trans. Graph. 37(6), 213:1\u2013213:16 (2018)","DOI":"10.1145\/3272127.3275006"},{"key":"3_CR8","unstructured":"Ellis, K., Nye, M., Pu, Y., Sosa, F., Tenenbaum, J., Solar-Lezama, A.: Write, execute, assess: program synthesis with a REPL. In: Advances in Neural Information Processing Systems, pp. 9165\u20139174 (2019)"},{"key":"3_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.cad.2016.01.001","volume":"74","author":"PA Fayolle","year":"2016","unstructured":"Fayolle, P.A., Pasko, A.: An evolutionary approach to the extraction of object construction trees from 3D point clouds. Comput. Aided Des. 74, 1\u201317 (2016)","journal-title":"Comput. Aided Des."},{"key":"3_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"214","DOI":"10.1007\/978-3-540-68443-5_9","volume-title":"Heterogeneous Objects Modelling and Applications","author":"P-A Fayolle","year":"2008","unstructured":"Fayolle, P.-A., Pasko, A., Kartasheva, E., Rosenberger, C., Toinard, C.: Automation of the volumetric models construction. In: Pasko, A., Adzhiev, V., Comninos, P. (eds.) Heterogeneous Objects Modelling and Applications. LNCS, vol. 4889, pp. 214\u2013238. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-68443-5_9"},{"key":"3_CR11","doi-asserted-by":"crossref","unstructured":"Feld, S., Friedrich, M., Linnhoff-Popien, C.: Optimizing geometry compression using quantum annealing. In: IEEE Workshop on Quantum Communications and Information Technology 2018 (IEEE QCIT 2018), pp. 1\u20136 (2018)","DOI":"10.1109\/GLOCOMW.2018.8644358"},{"issue":"2","key":"3_CR12","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/0022-0000(82)90004-6","volume":"25","author":"P Flajolet","year":"1982","unstructured":"Flajolet, P., Odlyzko, A.: The average height of binary trees and other simple trees. J. Comput. Syst. Sci. 25(2), 171\u2013213 (1982)","journal-title":"J. Comput. Syst. Sci."},{"key":"3_CR13","doi-asserted-by":"crossref","unstructured":"Friedrich, M., Fayolle, P.A., Gabor, T., Linnhoff-Popien, C.: Optimizing evolutionary CSG tree extraction. In: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019, pp. 1183\u20131191. Association for Computing Machinery (2019)","DOI":"10.1145\/3321707.3321771"},{"key":"3_CR14","doi-asserted-by":"crossref","unstructured":"Friedrich, M., Feld, S., Phan, T., Fayolle, P.A.: Accelerating evolutionary construction tree extraction via graph partitioning. In: Proceedings of WSCG 2018 (2018)","DOI":"10.24132\/CSRN.2018.2802.5"},{"key":"3_CR15","doi-asserted-by":"crossref","unstructured":"Friedrich, M., Illium, S., Fayolle, P.A., Linnhoff-Popien, C.: A hybrid approach for segmenting and fitting solid primitives to 3D point clouds. In: Proceedings of the 15th International Conference on Computer Graphics Theory and Applications (GRAPP), vol. 1. INSTICC, SCITEPRESS (2020)","DOI":"10.5220\/0008870600380048"},{"key":"3_CR16","doi-asserted-by":"crossref","unstructured":"Friedrich, M., Roch, C., Feld, S., Hahn, C., Fayolle, P.A.: A flexible pipeline for the optimization of construction trees. In: Proceedings of the 28th International Conference on Computer Graphics, Visualization and Computer Vision (WSCG) (2020)","DOI":"10.24132\/CSRN.2020.3001.10"},{"key":"3_CR17","doi-asserted-by":"crossref","unstructured":"Genova, K., Cole, F., Vlasic, D., Sarna, A., Freeman, W.T., Funkhouser, T.: Learning shape templates with structured implicit functions. arXiv preprint arXiv:1904.06447 (2019)","DOI":"10.1109\/ICCV.2019.00725"},{"issue":"1","key":"3_CR18","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1111\/cgf.13451","volume":"38","author":"A Kaiser","year":"2019","unstructured":"Kaiser, A., Zepeda, J.A.Y., Boubekeur, T.: A survey of simple geometric primitives detection methods for captured 3D data. Comput. Graph. Forum 38(1), 167\u2013196 (2019)","journal-title":"Comput. Graph. Forum"},{"key":"3_CR19","doi-asserted-by":"crossref","unstructured":"Kalogerakis, E., Hertzmann, A., Singh, K.: Learning 3D mesh segmentation and labeling. ACM Trans. Graph. 29(4), 102:1\u2013102:12 (2010)","DOI":"10.1145\/1778765.1778839"},{"key":"3_CR20","unstructured":"Kazhdan, M., Bolitho, M., Hoppe, H.: Poisson surface reconstruction. In: Proceedings of the Fourth Eurographics Symposium on Geometry Processing, vol. 7 (2006)"},{"key":"3_CR21","doi-asserted-by":"crossref","unstructured":"Kim, V.G., Li, W., Mitra, N.J., Chaudhuri, S., DiVerdi, S., Funkhouser, T.: Learning part-based templates from large collections of 3D shapes. ACM Trans. Graph. 32(4), 70:1\u201370:12 (2013)","DOI":"10.1145\/2461912.2461933"},{"key":"3_CR22","unstructured":"Knuth, D.E.: The Art of Computer Programming, Volume 4, Fascicle 4: Generating All Trees. Addison-Wesley Professional (2013)"},{"issue":"10","key":"3_CR23","doi-asserted-by":"publisher","first-page":"975","DOI":"10.1016\/j.cad.2004.09.001","volume":"37","author":"G Lavou\u00e9","year":"2005","unstructured":"Lavou\u00e9, G., Dupont, F., Baskurt, A.: A new CAD mesh segmentation method, based on curvature tensor analysis. Comput. Aided Des. 37(10), 975\u2013987 (2005)","journal-title":"Comput. Aided Des."},{"key":"3_CR24","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1016\/j.cagd.2017.02.009","volume":"52","author":"T Le","year":"2017","unstructured":"Le, T., Duan, Y.: A primitive-based 3D segmentation algorithm for mechanical cad models. Comput. Aided Geometr. Des. 52, 231\u2013246 (2017)","journal-title":"Comput. Aided Geometr. Des."},{"key":"3_CR25","unstructured":"Lezama, A.S.: Program synthesis by sketching. Ph.D. thesis, U. C. Berkeley (2008)"},{"key":"3_CR26","doi-asserted-by":"crossref","unstructured":"Li, L., Sung, M., Dubrovina, A., Yi, L., Guibas, L.J.: Supervised fitting of geometric primitives to 3D point clouds. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2652\u20132660 (2019)","DOI":"10.1109\/CVPR.2019.00276"},{"issue":"4","key":"3_CR27","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1145\/2010324.1964947","volume":"30","author":"Y Li","year":"2011","unstructured":"Li, Y., Wu, X., Chrysathou, Y., Sharf, A., Cohen-Or, D., Mitra, N.J.: GlobFit: consistently fitting primitives by discovering global relations. ACM Trans. Graph. (TOG) 30(4), 52 (2011)","journal-title":"ACM Trans. Graph. (TOG)"},{"issue":"3","key":"3_CR28","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1109\/34.910883","volume":"23","author":"D Marshall","year":"2001","unstructured":"Marshall, D., Lukacs, G., Martin, R.: Robust segmentation of primitives from range data in the presence of geometric degeneracy. IEEE Trans. Pattern Anal. Mach. Intell. 23(3), 304\u2013314 (2001)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3236794","volume":"2","author":"C Nandi","year":"2018","unstructured":"Nandi, C., Wilcox, J.R., Panchekha, P., Blau, T., Grossman, D., Tatlock, Z.: Functional programming for compiling and decompiling computer-aided design. Proc. ACM Program. Lang. 2, 1\u201331 (2018)","journal-title":"Proc. ACM Program. Lang."},{"key":"3_CR30","doi-asserted-by":"crossref","unstructured":"Nandi, C., et al.: Synthesizing structured cad models with equality saturation and inverse transformations. In: Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2020, pp. 31\u201344. Association for Computing Machinery, New York (2020)","DOI":"10.1145\/3385412.3386012"},{"key":"3_CR31","unstructured":"Qi, C.R., Su, H., Mo, K., Guibas, L.J.: PointNet: deep learning on point sets for 3D classification and segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 652\u2013660 (2017)"},{"key":"3_CR32","unstructured":"Qi, C.R., Yi, L., Su, H., Guibas, L.J.: PointNet++: deep hierarchical feature learning on point sets in a metric space. In: Advances in Neural Information Processing Systems, pp. 5099\u20135108 (2017)"},{"issue":"2","key":"3_CR33","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1093\/comjnl\/16.2.157","volume":"16","author":"A Ricci","year":"1973","unstructured":"Ricci, A.: A constructive geometry for computer graphics. Comput. J. 16(2), 157\u2013160 (1973)","journal-title":"Comput. J."},{"issue":"2","key":"3_CR34","doi-asserted-by":"publisher","first-page":"214","DOI":"10.1111\/j.1467-8659.2007.01016.x","volume":"26","author":"R Schnabel","year":"2007","unstructured":"Schnabel, R., Wahl, R., Klein, R.: Efficient RANSAC for point-cloud shape detection. Comput. Graph. Forum 26(2), 214\u2013226 (2007)","journal-title":"Comput. Graph. Forum"},{"issue":"02","key":"3_CR35","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1142\/S0218195999000108","volume":"9","author":"V Shapiro","year":"1999","unstructured":"Shapiro, V.: Well-formed set representations of solids. Int. J. Comput. Geomet. Appl. 9(02), 125\u2013150 (1999)","journal-title":"Int. J. Comput. Geomet. Appl."},{"issue":"1","key":"3_CR36","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1016\/0010-4485(91)90077-A","volume":"23","author":"V Shapiro","year":"1991","unstructured":"Shapiro, V., Vossler, D.L.: Construction and optimization of CSG representations. Comput. Aided Des. 23(1), 4\u201320 (1991)","journal-title":"Comput. Aided Des."},{"issue":"3","key":"3_CR37","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1115\/1.2912782","volume":"113","author":"V Shapiro","year":"1991","unstructured":"Shapiro, V., Vossler, D.L.: Efficient CSG representations of two-dimensional solids. J. Mech. Des. 113(3), 239\u2013305 (1991)","journal-title":"J. Mech. Des."},{"issue":"1","key":"3_CR38","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1145\/169728.169723","volume":"12","author":"V Shapiro","year":"1993","unstructured":"Shapiro, V., Vossler, D.L.: Separation for boundary to CSG conversion. ACM Trans. Graph. (TOG) 12(1), 35\u201355 (1993)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"3_CR39","doi-asserted-by":"crossref","unstructured":"Sharma, G., Goyal, R., Liu, D., Kalogerakis, E., Maji, S.: CSGNet: neural shape parser for constructive solid geometry. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2018","DOI":"10.1109\/CVPR.2018.00578"},{"key":"3_CR40","doi-asserted-by":"crossref","unstructured":"Sharma, G., Liu, D., Kalogerakis, E., Maji, S., Chaudhuri, S., M\u011bch, R.: ParSeNet: a parametric surface fitting network for 3D point clouds (2020)","DOI":"10.1007\/978-3-030-58571-6_16"},{"key":"3_CR41","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1007\/11595014_15","volume-title":"Progress in Artificial Intelligence","author":"S Silva","year":"2005","unstructured":"Silva, S., Fayolle, P.-A., Vincent, J., Pauron, G., Rosenberger, C., Toinard, C.: Evolutionary computation approaches for shape modelling and fitting. In: Bento, C., Cardoso, A., Dias, G. (eds.) EPIA 2005. LNCS (LNAI), vol. 3808, pp. 144\u2013155. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/11595014_15"},{"key":"3_CR42","unstructured":"Tian, Y., et al.: Learning to infer and execute 3D shape programs. arXiv preprint arXiv:1901.02875 (2019)"},{"key":"3_CR43","doi-asserted-by":"crossref","unstructured":"Tulsiani, S., Su, H., Guibas, L.J., Efros, A.A., Malik, J.: Learning shape abstractions by assembling volumetric primitives. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2635\u20132643 (2017)","DOI":"10.1109\/CVPR.2017.160"},{"issue":"1","key":"3_CR44","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1007\/s00607-003-0058-7","volume":"72","author":"M Vanco","year":"2004","unstructured":"Vanco, M., Brunnett, G.: Direct segmentation of algebraic models for reverse engineering. Computing 72(1), 207\u2013220 (2004)","journal-title":"Computing"},{"issue":"4","key":"3_CR45","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1142\/S0218654398000106","volume":"3","author":"T V\u00e1rady","year":"1998","unstructured":"V\u00e1rady, T., Benko, P., Kos, G.: Reverse engineering regular objects: simple segmentation and surface fitting procedures. Int. J. Shape Model. 3(4), 127\u2013141 (1998)","journal-title":"Int. J. Shape Model."},{"issue":"5","key":"3_CR46","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1111\/cgf.13504","volume":"37","author":"Q Wu","year":"2018","unstructured":"Wu, Q., Xu, K., Wang, J.: Constructing 3D CSG models from 3D raw point clouds. Comput. Graph. Forum 37(5), 221\u2013232 (2018)","journal-title":"Comput. Graph. Forum"},{"key":"3_CR47","doi-asserted-by":"crossref","unstructured":"Zou, C., Yumer, E., Yang, J., Ceylan, D., Hoiem, D.: 3D-PRNN: generating shape primitives with recurrent neural networks. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 900\u2013909 (2017)","DOI":"10.1109\/ICCV.2017.103"}],"container-title":["Communications in Computer and Information Science","Computer Vision, Imaging and Computer Graphics Theory and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-94893-1_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,30]],"date-time":"2022-12-30T19:04:52Z","timestamp":1672427092000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-94893-1_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030948924","9783030948931"],"references-count":47,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-94893-1_3","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"22 January 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"VISIGRAPP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Joint Conference on Computer Vision, Imaging and Computer Graphics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Valletta","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Malta","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 February 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 February 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"visigrapp2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.visigrapp.org\/?y=2020","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"PRIMORIS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"455","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"25","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}