{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:37:35Z","timestamp":1742913455243,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030880064"},{"type":"electronic","value":"9783030880071"}],"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\/978-3-030-88007-1_19","type":"book-chapter","created":{"date-parts":[[2021,10,21]],"date-time":"2021-10-21T23:06:25Z","timestamp":1634857585000},"page":"228-238","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Graph Matching Based Robust Line Segment Correspondence for Active Camera Relocalization"],"prefix":"10.1007","author":[{"given":"Mengyu","family":"Pan","sequence":"first","affiliation":[]},{"given":"Chen","family":"Meng","sequence":"additional","affiliation":[]},{"given":"Fei-Peng","family":"Tian","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Feng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,10,22]]},"reference":[{"issue":"3","key":"19_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1805964.1805968","volume":"29","author":"S Bae","year":"2010","unstructured":"Bae, S., Agarwala, A., Durand, F.: Computational rephotography. ACM Trans. Graph. 29(3), 1\u201315 (2010)","journal-title":"ACM Trans. Graph."},{"key":"19_CR2","first-page":"831","volume":"13","author":"S Belongie","year":"2000","unstructured":"Belongie, S., Malik, J., Puzicha, J.: Shape context: a new descriptor for shape matching and object recognition. NIPS 13, 831\u2013837 (2000)","journal-title":"NIPS"},{"key":"19_CR3","doi-asserted-by":"crossref","unstructured":"Fan, B., Wu, F., Hu, Z.: Line matching leveraged by point correspondences. In: CVPR, pp. 390\u2013397 (2010)","DOI":"10.1109\/CVPR.2010.5540186"},{"key":"19_CR4","doi-asserted-by":"crossref","unstructured":"Feng, W., Tian, F.P., Zhang, Q., Zhang, N., Wan, L., Sun, J.: Fine-grained change detection of misaligned scenes with varied illuminations. In: ICCV, pp. 1260\u20131268 (2015)","DOI":"10.1109\/ICCV.2015.149"},{"issue":"6","key":"19_CR5","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1145\/358669.358692","volume":"24","author":"MA Fischler","year":"1981","unstructured":"Fischler, M.A., Bolles, R.C.: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM 24(6), 381\u2013395 (1981)","journal-title":"Commun. ACM"},{"key":"19_CR6","unstructured":"Guggenheim, D., Gore, A., Bender, L., Burns, S.Z., David, L., Documentary, G.W.: An Inconvenient Truth. Paramount Classics Hollywood, CA (2006)"},{"key":"19_CR7","doi-asserted-by":"crossref","unstructured":"Huang, K., Wang, Y., Zhou, Z., Ding, T., Gao, S., Ma, Y.: Learning to parse wireframes in images of man-made environments. In: CVPR, pp. 626\u2013635 (2018)","DOI":"10.1109\/CVPR.2018.00072"},{"key":"19_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"599","DOI":"10.1007\/978-3-319-46484-8_36","volume-title":"Computer Vision \u2013 ECCV 2016","author":"Q Jia","year":"2016","unstructured":"Jia, Q., Gao, X., Fan, X., Luo, Z., Li, H., Chen, Z.: Novel coplanar line-points invariants for robust line matching across views. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9912, pp. 599\u2013611. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46484-8_36"},{"key":"19_CR9","doi-asserted-by":"crossref","unstructured":"Koopmans, T.C., Beckmann, M.: Assignment problems and the location of economic activities. Econometrica: J. Econ. Soc., 53\u201376 (1957)","DOI":"10.2307\/1907742"},{"issue":"1\u20132","key":"19_CR10","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1002\/nav.3800020109","volume":"2","author":"HW Kuhn","year":"1955","unstructured":"Kuhn, H.W.: The Hungarian method for the assignment problem. Nav. Res. Logist. Q. 2(1\u20132), 83\u201397 (1955)","journal-title":"Nav. Res. Logist. Q."},{"issue":"2","key":"19_CR11","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1007\/s11263-008-0152-6","volume":"81","author":"V Lepetit","year":"2009","unstructured":"Lepetit, V., Moreno-Noguer, F., Fua, P.: EPnP: efficient perspective-n-point camera pose estimation. IJCV 81(2), 155\u2013166 (2009)","journal-title":"IJCV"},{"key":"19_CR12","doi-asserted-by":"crossref","unstructured":"Miao, D., Tian, F.P., Feng, W.: Active camera relocalization with RGBD camera from a single 2D image. In: ICASSP, pp. 1847\u20131851. IEEE (2018)","DOI":"10.1109\/ICASSP.2018.8462466"},{"issue":"1","key":"19_CR13","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1137\/0105003","volume":"5","author":"J Munkres","year":"1957","unstructured":"Munkres, J.: Algorithms for the assignment and transportation problems. J. Soc. Ind. Appl. Math. 5(1), 32\u201338 (1957)","journal-title":"J. Soc. Ind. Appl. Math."},{"issue":"12","key":"19_CR14","doi-asserted-by":"publisher","first-page":"2791","DOI":"10.1109\/TPAMI.2018.2870646","volume":"41","author":"FP Tian","year":"2019","unstructured":"Tian, F.P., et al.: Active camera relocalization from a single reference image without hand-eye calibration. IEEE TPAMI 41(12), 2791\u20132806 (2019)","journal-title":"IEEE TPAMI"},{"issue":"4","key":"19_CR15","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 TPAMI 32(4), 722\u2013732 (2008)","journal-title":"IEEE TPAMI"},{"issue":"11","key":"19_CR16","first-page":"2737","volume":"42","author":"FD Wang","year":"2019","unstructured":"Wang, F.D., Xue, N., Zhang, Y., Xia, G.S., Pelillo, M.: A functional representation for graph matching. IEEE TPAMI 42(11), 2737\u20132754 (2019)","journal-title":"IEEE TPAMI"},{"issue":"5","key":"19_CR17","doi-asserted-by":"publisher","first-page":"941","DOI":"10.1016\/j.patcog.2008.08.035","volume":"42","author":"Z Wang","year":"2009","unstructured":"Wang, Z., Wu, F., Hu, Z.: MSLD: a robust descriptor for line matching. Pattern Recogn. 42(5), 941\u2013953 (2009)","journal-title":"Pattern Recogn."},{"key":"19_CR18","doi-asserted-by":"crossref","unstructured":"Qiu, W., et al.: UnrealCV: virtual worlds for computer vision. In: ACM Multimedia Open Source Software Competition (2017)","DOI":"10.1145\/3123266.3129396"},{"key":"19_CR19","unstructured":"Wells II, J.E.: Western landscapes, western images: a rephotography of US Highway 89. Ph.D. thesis, Kansas State University (2012)"},{"key":"19_CR20","doi-asserted-by":"crossref","unstructured":"West, R., Halley, A., Gordon, D., O\u2019Neil-Dunne, J., Pless, R.: Collaborative rephotography. In: ACM SIGGRAPH Studio Talks (2013)","DOI":"10.1145\/2503673.2503693"},{"issue":"12","key":"19_CR21","doi-asserted-by":"publisher","first-page":"2227","DOI":"10.1109\/TPAMI.2008.245","volume":"31","author":"M Zaslavskiy","year":"2008","unstructured":"Zaslavskiy, M., Bach, F., Vert, J.P.: A path following algorithm for the graph matching problem. IEEE TPAMI 31(12), 2227\u20132242 (2008)","journal-title":"IEEE TPAMI"},{"issue":"7","key":"19_CR22","first-page":"794","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. JVCIR 24(7), 794\u2013805 (2013)","journal-title":"JVCIR"},{"key":"19_CR23","doi-asserted-by":"crossref","unstructured":"Zhang, Q., Feng, W., Wan, L., Tian, F.P., Tan, P.: Active recurrence of lighting condition for fine-grained change detection. In: Proceedings of the 27th International Joint Conference on Artificial Intelligence, pp. 4972\u20134978 (2018)","DOI":"10.24963\/ijcai.2018\/690"},{"key":"19_CR24","doi-asserted-by":"crossref","unstructured":"Zhu, Y., et al.: Target-driven visual navigation in indoor scenes using deep reinforcement learning. In: ICRA, pp. 3357\u20133364. IEEE (2017)","DOI":"10.1109\/ICRA.2017.7989381"}],"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\/978-3-030-88007-1_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T19:54:01Z","timestamp":1710359641000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-88007-1_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030880064","9783030880071"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-88007-1_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"22 October 2021","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":"Beijing","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":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 October 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 November 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.prcv.cn\/2021\/index_en.html","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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"513","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":"201","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":"39% - 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":"5","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"There were 30 oral and 171 poster presentations at the conference.","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)"}}]}}