{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T01:54:55Z","timestamp":1769824495475,"version":"3.49.0"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030865481","type":"print"},{"value":"9783030865498","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-86549-8_3","type":"book-chapter","created":{"date-parts":[[2021,9,4]],"date-time":"2021-09-04T02:05:57Z","timestamp":1630721157000},"page":"34-49","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Versailles-FP Dataset: Wall Detection in Ancient Floor Plans"],"prefix":"10.1007","author":[{"given":"Wassim","family":"Swaileh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dimitrios","family":"Kotzinos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Suman","family":"Ghosh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michel","family":"Jordan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ngoc-Son","family":"Vu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaguan","family":"Qian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,9,2]]},"reference":[{"key":"3_CR1","doi-asserted-by":"crossref","unstructured":"Ah-Soon, C., Tombre, K.: Variations on the analysis of architectural drawings. In: Proceedings of the Fourth ICDAR, vol. 1, pp. 347\u2013351 (1997)","DOI":"10.1109\/ICDAR.1997.619869"},{"key":"3_CR2","doi-asserted-by":"crossref","unstructured":"Ahmed, S., Liwicki, M., Weber, M., Dengel, A.: Automatic room detection and room labeling from architectural floor plans. In: 2012 10th IAPR DAS, pp. 339\u2013343 (2012)","DOI":"10.1109\/DAS.2012.22"},{"key":"3_CR3","doi-asserted-by":"crossref","unstructured":"Dodge, S., Xu, J., Stenger, B.: Parsing floor plan images. In: MVA, May 2017","DOI":"10.23919\/MVA.2017.7986875"},{"key":"3_CR4","doi-asserted-by":"crossref","unstructured":"Dosch, P., Masini, G.: Reconstruction of the 3D structure of a building from the 2D drawings of its floors. In: Proceedings of the Fifth ICDAR, pp. 487\u2013490 (1999)","DOI":"10.1109\/ICDAR.1999.791831"},{"issue":"2","key":"3_CR5","first-page":"102","volume":"3","author":"P Dosch","year":"2000","unstructured":"Dosch, P., Tombre, K., Ah-Soon, C., Masini, G.: A complete system for the analysis of architectural drawings. ICDAR 3(2), 102\u2013116 (2000)","journal-title":"ICDAR"},{"key":"3_CR6","unstructured":"Gao, H., Yuan, H., Wang, Z., Ji, S.: Pixel deconvolutional networks. arXiv preprint arXiv:1705.06820 (2017)"},{"key":"3_CR7","doi-asserted-by":"crossref","unstructured":"de\u00a0las Heras, L.P., Terrades, O.R., Robles, S., S\u00e1nchez, G.: CVC-FP and SGT: a new database for structural floor plan analysis and its groundtruthing tool. IJDAR 18(1), 15\u201330 (2015)","DOI":"10.1007\/s10032-014-0236-5"},{"key":"3_CR8","doi-asserted-by":"crossref","unstructured":"Liu, C., Wu, J., Kohli, P., Furukawa, Y.: Raster-to-vector: revisiting floorplan transformation. In: Proceedings of the IEEE ICCV, pp. 2195\u20132203 (2017)","DOI":"10.1109\/ICCV.2017.241"},{"key":"3_CR9","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional models for semantic segmentation. In: CVPR, vol. 3, p. 4 (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"3_CR10","doi-asserted-by":"crossref","unstructured":"Mac\u00e9, S., Locteau, H., Valveny, E., Tabbone, S.: A system to detect rooms in architectural floor plan images. In: Proceedings of the 9th IAPR DAS, pp. 167\u2013174 (2010)","DOI":"10.1145\/1815330.1815352"},{"key":"3_CR11","doi-asserted-by":"crossref","unstructured":"Milletari, F., Navab, N., Ahmadi, S.: V-Net: fully convolutional neural networks for volumetric medical image segmentation. In: Proceedings of the 2016 Fourth International Conference on 3D Vision (3DV), pp. 565\u2013571 (2016)","DOI":"10.1109\/3DV.2016.79"},{"key":"3_CR12","unstructured":"Or, S.H., Wong, K.H., Yu, Y.K., Chang, M.M.Y., Kong, H.: Highly automatic approach to architectural floorplan image understanding & model generation. Pattern Recogn. V, 25\u201332 (2005)"},{"issue":"1","key":"3_CR13","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","volume":"9","author":"N Otsu","year":"1979","unstructured":"Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 9(1), 62\u201366 (1979). https:\/\/doi.org\/10.1109\/TSMC.1979.4310076","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"3_CR14","unstructured":"Reinhard, E., Heidrich, W., Debevec, P., Pattanaik, S., Ward, G., Myszkowski, K.: High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting. Morgan Kaufmann (2010)"},{"key":"3_CR15","doi-asserted-by":"crossref","unstructured":"Rendek, J., Masini, G., Dosch, P., Tombre, K.: The search for genericity in graphics recognition applications: Design issues of the Qgar software system. In: DAS, pp. 366\u2013377 (2004)","DOI":"10.1007\/978-3-540-28640-0_35"},{"key":"3_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-Net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 234\u2013241. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"key":"3_CR17","doi-asserted-by":"crossref","unstructured":"Ryall, K., Shieber, S., Marks, J., Mazer, M.: Semi-automatic delineation of regions in floor plans. In: Proceedings of 3rd ICDAR, vol. 2, pp. 964\u2013969 (1995)","DOI":"10.1109\/ICDAR.1995.602062"},{"key":"3_CR18","doi-asserted-by":"crossref","unstructured":"Shi, Z., Setlur, S., Govindaraju, V.: A steerable directional local profile technique for extraction of handwritten Arabic text lines. In: 2009 10th ICDAR, pp. 176\u2013180 (2009)","DOI":"10.1109\/ICDAR.2009.79"},{"key":"3_CR19","doi-asserted-by":"crossref","unstructured":"Swaileh, W., Mohand, K.A., Paquet, T.: Multi-script iterative steerable directional filtering for handwritten text line extraction. In: 2015 13th ICDAR, pp. 1241\u20131245 (2015)","DOI":"10.1109\/ICDAR.2015.7333962"},{"issue":"1","key":"3_CR20","doi-asserted-by":"publisher","first-page":"011006","DOI":"10.1117\/1.JEI.26.1.011006","volume":"26","author":"H Tabia","year":"2016","unstructured":"Tabia, H., Riedinger, C., Jordan, M.: Automatic reconstruction of heritage monuments from old architecture documents. J. Electron. Imaging 26(1), 011006 (2016)","journal-title":"J. Electron. Imaging"},{"key":"3_CR21","doi-asserted-by":"crossref","unstructured":"Yang, S.T., Wang, F.E., Peng, C.H., Wonka, P., Sun, M., Chu, H.K.: DuLa-Net: a dual-projection network for estimating room layouts from a single RGB panorama. In: Proceedings of the IEEE\/CVF Conference on CVPR, pp. 3363\u20133372 (2019)","DOI":"10.1109\/CVPR.2019.00348"}],"container-title":["Lecture Notes in Computer Science","Document Analysis and Recognition \u2013 ICDAR 2021"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-86549-8_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,3]],"date-time":"2025-09-03T22:04:30Z","timestamp":1756937070000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-86549-8_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030865481","9783030865498"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-86549-8_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"2 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICDAR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Document Analysis and Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lausanne","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Switzerland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icdar2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iapr.org\/icdar2021","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"340","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":"182","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":"54% - 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":"2.9","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":"4.9","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)"}},{"value":"Additionally, 13 competition reports are included.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}