{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,3]],"date-time":"2026-01-03T04:36:28Z","timestamp":1767414988049,"version":"3.40.3"},"publisher-location":"Cham","reference-count":38,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030883034"},{"type":"electronic","value":"9783030883041"}],"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.springer.com\/tdm"},{"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.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-88304-1_20","type":"book-chapter","created":{"date-parts":[[2021,10,9]],"date-time":"2021-10-09T22:58:21Z","timestamp":1633820301000},"page":"251-262","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["TMBuD: A Dataset for Urban Scene Building Detection"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0071-958X","authenticated-orcid":false,"given":"Ciprian","family":"Orhei","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2394-4859","authenticated-orcid":false,"given":"Silviu","family":"Vert","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0203-1519","authenticated-orcid":false,"given":"Muguras","family":"Mocofan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1185-1997","authenticated-orcid":false,"given":"Radu","family":"Vasiu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,10,7]]},"reference":[{"key":"20_CR1","unstructured":"Huang, T.: Computer vision: evolution and promise (1996)"},{"key":"20_CR2","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"334","DOI":"10.1007\/978-3-319-11958-8_27","volume-title":"Information and Software Technologies","author":"S Vert","year":"2014","unstructured":"Vert, S., Vasiu, R.: Relevant aspects for the integration of linked data in mobile augmented reality applications for tourism. In: Dregvaite, G., Damasevicius, R. (eds.) ICIST 2014. CCIS, vol. 465, pp. 334\u2013345. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-11958-8_27"},{"key":"20_CR3","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"521","DOI":"10.1007\/978-3-319-56535-4_53","volume-title":"Recent Advances in Information Systems and Technologies","author":"S Vert","year":"2017","unstructured":"Vert, S., Vasiu, R.: Augmented reality lenses for smart city data: the case of building permits. In: Rocha, \u00c1., Correia, A.M., Adeli, H., Reis, L.P., Costanzo, S. (eds.) WorldCIST 2017. AISC, vol. 569, pp. 521\u2013527. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-56535-4_53"},{"key":"20_CR4","doi-asserted-by":"crossref","unstructured":"Vert, S., Andone, D., Vasiu, R.: Augmented and virtual reality for public space art. In: ITM Web of Conferences, vol. 29, p. 03006. EDP Sciences (2019)","DOI":"10.1051\/itmconf\/20192903006"},{"key":"20_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1007\/978-3-319-16628-5_13","volume-title":"Computer Vision - ACCV 2014 Workshops","author":"P Babahajiani","year":"2015","unstructured":"Babahajiani, P., Fan, L., Gabbouj, M.: Object recognition in 3D point cloud of urban street scene. In: Jawahar, C.V., Shan, S. (eds.) ACCV 2014. LNCS, vol. 9008, pp. 177\u2013190. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-16628-5_13"},{"key":"20_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1007\/978-3-319-16628-5_20","volume-title":"Computer Vision - ACCV 2014 Workshops","author":"J Fu","year":"2015","unstructured":"Fu, J., K\u00e4m\u00e4r\u00e4inen, J.-K., Buch, A.G., Kr\u00fcger, N.: Indoor objects and outdoor urban scenes recognition by 3D visual primitives. In: Jawahar, C.V., Shan, S. (eds.) ACCV 2014. LNCS, vol. 9008, pp. 270\u2013285. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-16628-5_20"},{"key":"20_CR7","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1007\/978-3-030-59506-7_18","volume-title":"Information and Software Technologies","author":"C Orhei","year":"2020","unstructured":"Orhei, C., Vert, S., Vasiu, R.: A novel edge detection operator for identifying buildings in augmented reality applications. In: Lopata, A., Butkien\u0117, R., Gudonien\u0117, D., Sukack\u0117, V. (eds.) ICIST 2020. CCIS, vol. 1283, pp. 208\u2013219. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-59506-7_18"},{"issue":"6","key":"20_CR8","doi-asserted-by":"publisher","first-page":"862","DOI":"10.1016\/j.jvcir.2012.05.004","volume":"23","author":"C Topal","year":"2012","unstructured":"Topal, C., Akinlar, C.: Edge drawing: a combined real-time edge and segment detector. J. Vis. Commun. Image Represent. 23(6), 862\u2013872 (2012)","journal-title":"J. Vis. Commun. Image Represent."},{"issue":"4","key":"20_CR9","doi-asserted-by":"publisher","first-page":"722","DOI":"10.1109\/TPAMI.2008.300","volume":"32","author":"RG Von Gioi","year":"2008","unstructured":"Von Gioi, R.G., Jakubowicz, J., Morel, J.-M., Randall, G.: LSD: a fast line segment detector with a false detection control. IEEE Trans. Pattern Anal. Mach. Intell. 32(4), 722\u2013732 (2008)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"20_CR10","doi-asserted-by":"crossref","unstructured":"Akinlar, C., Topal, C.: Edlines: real-time line segment detection by Edge Drawing (ED). In: 2011 18th IEEE International Conference on Image Processing, pp. 2837\u20132840. IEEE (2011)","DOI":"10.1109\/ICIP.2011.6116138"},{"issue":"7","key":"20_CR11","doi-asserted-by":"publisher","first-page":"794","DOI":"10.1016\/j.jvcir.2013.05.006","volume":"24","author":"L Zhang","year":"2013","unstructured":"Zhang, L., Koch, R.: An efficient and robust line segment matching approach based on LBD descriptor and pairwise geometric consistency. J. Vis. Commun. Image Represent. 24(7), 794\u2013805 (2013)","journal-title":"J. Vis. Commun. Image Represent."},{"issue":"2","key":"20_CR12","doi-asserted-by":"publisher","first-page":"794","DOI":"10.1016\/j.patcog.2011.08.004","volume":"45","author":"B Fan","year":"2012","unstructured":"Fan, B., Wu, F., Hu, Z.: Robust line matching through line-point invariants. Pattern Recogn. 45(2), 794\u2013805 (2012)","journal-title":"Pattern Recogn."},{"key":"20_CR13","doi-asserted-by":"crossref","unstructured":"Liu, H., Zhang, J., Zhu, J., Hoi, S.C.: DeepFacade: a deep learning approach to facade parsing (2017)","DOI":"10.24963\/ijcai.2017\/320"},{"issue":"5","key":"20_CR14","doi-asserted-by":"publisher","first-page":"898","DOI":"10.1109\/TPAMI.2010.161","volume":"33","author":"P Arbelaez","year":"2010","unstructured":"Arbelaez, P., Maire, M., Fowlkes, C., Malik, J.: Contour detection and hierarchical image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 33(5), 898\u2013916 (2010)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"20_CR15","unstructured":"CM Building Dataset Timisoara. https:\/\/github.com\/CipiOrhei\/TMBuD. Accessed 12 Mar 2021"},{"key":"20_CR16","doi-asserted-by":"crossref","unstructured":"Martin, D., Fowlkes, C., Tal, D., Malik, J.: A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In: Proceedings Eighth IEEE International Conference on Computer Vision, ICCV 2001, vol. 2, pp. 416\u2013423. IEEE (2001)","DOI":"10.1109\/ICCV.2001.937655"},{"key":"20_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"746","DOI":"10.1007\/978-3-642-33715-4_54","volume-title":"Computer Vision \u2013 ECCV 2012","author":"N Silberman","year":"2012","unstructured":"Silberman, N., Hoiem, D., Kohli, P., Fergus, R.: Indoor segmentation and support inference from RGBD images. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7576, pp. 746\u2013760. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-33715-4_54"},{"key":"20_CR18","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/j.visres.2015.11.007","volume":"120","author":"DA M\u00e9ly","year":"2016","unstructured":"M\u00e9ly, D.A., Kim, J., McGill, M., Guo, Y., Serre, T.: A systematic comparison between visual cues for boundary detection. Vision. Res. 120, 93\u2013107 (2016)","journal-title":"Vision. Res."},{"key":"20_CR19","doi-asserted-by":"crossref","unstructured":"Sun, W., You, S., Walker, J., Li, K., Barnes, N.: Structural edge detection: a dataset and benchmark. In: 2018 Digital Image Computing: Techniques and Applications (DICTA), pp. 1\u20138 (2018)","DOI":"10.1109\/DICTA.2018.8615801"},{"key":"20_CR20","doi-asserted-by":"crossref","unstructured":"Zlateski, A., Jaroensri, R., Sharma, P., Durand, F.: On the importance of label quality for semantic segmentation. In: 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1479\u20131487 (2018)","DOI":"10.1109\/CVPR.2018.00160"},{"key":"20_CR21","unstructured":"Korc, F., F\u00f6rstner, W.: eTRIMS image database for interpreting images of man-made scenes. Department of Photogrammetry, University of Bonn, Technical report TR-IGG-P-2009-01 (2009)"},{"key":"20_CR22","doi-asserted-by":"crossref","unstructured":"Fr\u00f6hlich, B., Rodner, E., Denzler, J.: A fast approach for pixelwise labeling of facade images. In: Proceedings of the International Conference on Pattern Recognition (ICPR 2010) (2010)","DOI":"10.1109\/ICPR.2010.742"},{"key":"20_CR23","unstructured":"Brust, C.-A., Sickert, S., Simon, M., Rodner, E., Denzler, J.: Efficient convolutional patch networks for scene understanding. In: CVPR Workshop on Scene Understanding (CVPR-WS) (2015)"},{"key":"20_CR24","doi-asserted-by":"crossref","unstructured":"Teboul, O., Simon, L., Koutsourakis, P., Paragios, N.: Segmentation of building facades using procedural shape priors. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 3105\u20133112 (2010)","DOI":"10.1109\/CVPR.2010.5540068"},{"key":"20_CR25","doi-asserted-by":"crossref","unstructured":"Teboul, O., Kokkinos, I., Simon, L., Koutsourakis, P., Paragios, N.: Shape grammar parsing via reinforcement learning. In: CVPR 2011, pp. 2273\u20132280 (2011)","DOI":"10.1109\/CVPR.2011.5995319"},{"key":"20_CR26","doi-asserted-by":"crossref","unstructured":"Riemenschneider, H., et al.: Irregular lattices for complex shape grammar facade parsing. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1640\u20131647. IEEE (2012)","DOI":"10.1109\/CVPR.2012.6247857"},{"issue":"3","key":"20_CR27","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1007\/s11263-016-0887-4","volume":"117","author":"R Gadde","year":"2016","unstructured":"Gadde, R., Marlet, R., Paragios, N.: Learning grammars for architecture-specific facade parsing. Int. J. Comput. Vis. 117(3), 290\u2013316 (2016)","journal-title":"Int. J. Comput. Vis."},{"key":"20_CR28","doi-asserted-by":"crossref","unstructured":"Tyle\u010dek, R., \u0160\u00e1ra, R.: Spatial pattern templates for recognition of objects with regular structure. In: Proceedings of the GCPR, (Saarbrucken, Germany) (2013)","DOI":"10.1007\/978-3-642-40602-7_39"},{"key":"20_CR29","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"516","DOI":"10.1007\/978-3-319-10602-1_34","volume-title":"Computer Vision \u2013 ECCV 2014","author":"H Riemenschneider","year":"2014","unstructured":"Riemenschneider, H., B\u00f3dis-Szomor\u00fa, A., Weissenberg, J., Van Gool, L.: Learning where to classify in multi-view semantic segmentation. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8693, pp. 516\u2013532. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10602-1_34"},{"key":"20_CR30","doi-asserted-by":"crossref","unstructured":"Martinovic, A., Knopp, J., Riemenschneider, H., Gool, L.: 3D all the way: semantic segmentation of urban scenes from start to end in 3D. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4456\u20134465 (2015)","DOI":"10.1109\/CVPR.2015.7299075"},{"issue":"4","key":"20_CR31","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1007\/s12518-009-0013-1","volume":"1","author":"AR Elshehaby","year":"2009","unstructured":"Elshehaby, A.R., Taha, L.G.E.-D.: A new expert system module for building detection in urban areas using spectral information and lidar data. Appl. Geomatics 1(4), 97\u2013110 (2009)","journal-title":"Appl. Geomatics"},{"key":"20_CR32","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1007\/978-3-540-88690-7_40","volume-title":"Computer Vision \u2013 ECCV 2008","author":"X Ren","year":"2008","unstructured":"Ren, X.: Multi-scale improves boundary detection in natural images. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008. LNCS, vol. 5304, pp. 533\u2013545. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-88690-7_40"},{"issue":"15","key":"20_CR33","doi-asserted-by":"publisher","first-page":"1774","DOI":"10.3390\/rs11151774","volume":"11","author":"Y Yi","year":"2019","unstructured":"Yi, Y., Zhang, Z., Zhang, W., Zhang, C., Li, W., Zhao, T.: Semantic segmentation of urban buildings from VHR remote sensing imagery using a deep convolutional neural network. Remote Sens. 11(15), 1774 (2019)","journal-title":"Remote Sens."},{"key":"20_CR34","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1016\/j.isprsjprs.2020.04.013","volume":"165","author":"W Wang","year":"2020","unstructured":"Wang, W., Gao, W., Cui, H., Hu, Z.: Reconstruction of lines and planes of urban buildings with angle regularization. ISPRS J. Photogramm. Remote. Sens. 165, 54\u201366 (2020)","journal-title":"ISPRS J. Photogramm. Remote. Sens."},{"key":"20_CR35","doi-asserted-by":"crossref","unstructured":"Li, K., Yao, J., Xia, M., Li, L.: Joint point and line segment matching on wide-baseline stereo images. In: 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 1\u20139. IEEE (2016)","DOI":"10.1109\/WACV.2016.7477734"},{"key":"20_CR36","doi-asserted-by":"crossref","unstructured":"Orhei, C., Mocofan, M., Vert, S., Vasiu, R.: End-to-end computer vision framework. In: 2020 International Symposium on Electronics and Telecommunications (ISETC), pp. 1\u20134. IEEE (2020)","DOI":"10.1109\/ISETC50328.2020.9301078"},{"issue":"11","key":"20_CR37","doi-asserted-by":"publisher","first-page":"3691","DOI":"10.3390\/s21113691","volume":"21","author":"C Orhei","year":"2021","unstructured":"Orhei, C., Vert, S., Mocofan, M., Vasiu, R.: End-to-end computer vision framework: an open-source platform for research and education. Sensors 21(11), 3691 (2021)","journal-title":"Sensors"},{"key":"20_CR38","doi-asserted-by":"crossref","unstructured":"Orhei, C., Mocofan, M., Vert, S., Vasiu, R.: An analysis of ED line algorithm in urban street-view dataset. In: Lopata, A., et al. (eds.) International Conference on Information and Software Technologies, ICIST 2021. CCIS, vol. 1486, pp. 123\u2013135. Springer, Cham (2021)","DOI":"10.1007\/978-3-030-88304-1_10"}],"container-title":["Communications in Computer and Information Science","Information and Software Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-88304-1_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T16:52:32Z","timestamp":1725900752000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-88304-1_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030883034","9783030883041"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-88304-1_20","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"7 October 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIST","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information and Software Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kaunas","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lithuania","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":"14 October 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icist2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icist.ktu.edu","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":"79","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":"24","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":"6","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":"30% - 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":"2","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)"}}]}}