{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T18:04:01Z","timestamp":1773511441255,"version":"3.50.1"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030322380","type":"print"},{"value":"9783030322397","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-32239-7_38","type":"book-chapter","created":{"date-parts":[[2019,10,9]],"date-time":"2019-10-09T23:04:53Z","timestamp":1570662293000},"page":"339-347","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Real-Time Surface Deformation Recovery from Stereo Videos"],"prefix":"10.1007","author":[{"given":"Haoyin","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Jayender","family":"Jagadeesan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,10]]},"reference":[{"key":"38_CR1","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.media.2017.06.004","volume":"40","author":"A Schoob","year":"2017","unstructured":"Schoob, A., Kundrat, D., Kahrs, L.A., Ortmaier, T.: Stereo vision-based tracking of soft tissue motion with application to online ablation control in laser microsurgery. Med. Image Anal. 40, 80\u201395 (2017)","journal-title":"Med. Image Anal."},{"key":"38_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"404","DOI":"10.1007\/978-3-319-46720-7_47","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2016","author":"T Collins","year":"2016","unstructured":"Collins, T., Bartoli, A., Bourdel, N., Canis, M.: Robust, real-time, dense and deformable 3D organ tracking in laparoscopic videos. In: Ourselin, S., Joskowicz, L., Sabuncu, M.R., Unal, G., Wells, W. (eds.) MICCAI 2016. LNCS, vol. 9900, pp. 404\u2013412. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46720-7_47"},{"issue":"4","key":"38_CR3","first-page":"156","volume":"33","author":"M Zollhfer","year":"2014","unstructured":"Zollhfer, M., Matthias, N., Shahram, I., et al.: Real-time non-rigid reconstruction using an RGB-D camera. ACM Trans. Graph. 33(4), 156 (2014)","journal-title":"ACM Trans. Graph."},{"key":"38_CR4","doi-asserted-by":"crossref","unstructured":"Newcombe, R.A., Fox, D., Seitz, S.M.: DynamicFusion: reconstruction and tracking of non-rigid scenes in real-time. In: CVPR, pp. 343\u2013352 (2015)","DOI":"10.1109\/CVPR.2015.7298631"},{"key":"38_CR5","doi-asserted-by":"crossref","unstructured":"Guo, K., Xu, F., Wang, Y., Liu, Y., Dai, Q.: Robust non-rigid motion tracking and surface reconstruction using L0 regularization. In: ICCV, pp. 3083\u20133091 (2015)","DOI":"10.1109\/ICCV.2015.353"},{"key":"38_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1007\/978-3-030-00937-3_5","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2018","author":"R Modrzejewski","year":"2018","unstructured":"Modrzejewski, R., Collins, T., Bartoli, A., Hostettler, A., Marescaux, J.: Soft-body registration of pre-operative 3D models to intra-operative RGBD partial body scans. In: Frangi, A.F., Schnabel, J.A., Davatzikos, C., Alberola-L\u00f3pez, C., Fichtinger, G. (eds.) MICCAI 2018. LNCS, vol. 11073, pp. 39\u201346. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00937-3_5"},{"key":"38_CR7","doi-asserted-by":"crossref","unstructured":"Petit, A., Lippiello, V., Siciliano, B.: Real-time tracking of 3D elastic objects with an RGB-D sensor. In: IROS (2015)","DOI":"10.1109\/IROS.2015.7353928"},{"key":"38_CR8","doi-asserted-by":"crossref","unstructured":"Rublee, E., Rabaud, V., Konolige, K., Bradski, G.: ORB: an efficient alternative to SIFT or SURF, pp. 2564\u20132571 (2011)","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"38_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"274","DOI":"10.1007\/978-3-642-33765-9_20","volume-title":"Computer Vision \u2013 ECCV 2012","author":"Q-H Tran","year":"2012","unstructured":"Tran, Q.-H., Chin, T.-J., Carneiro, G., Brown, M.S., Suter, D.: In defence of RANSAC for outlier rejection in deformable registration. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7575, pp. 274\u2013287. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-33765-9_20"},{"key":"38_CR10","unstructured":"Sorkine, O., Alexa, M.: As-rigid-as-possible surface modeling. In: Symposium on Geometry Processing, vol. 4, pp. 109\u2013116 (2007)"},{"key":"38_CR11","doi-asserted-by":"crossref","unstructured":"Zhou, H., Jagadeesan, J.: Real-time dense reconstruction of tissue surface from stereo optical video. IEEE Trans. Med. Imaging (2019, early access)","DOI":"10.1109\/TMI.2019.2927436"},{"key":"38_CR12","doi-asserted-by":"crossref","unstructured":"Zhou, H., Zhang, T., Jayender, J.: Re-weighting and 1-Point RANSAC-Base PnP solution to handle outliers. IEEE TPAMI (2018, early access)","DOI":"10.1109\/TPAMI.2018.2871832"},{"issue":"4","key":"38_CR13","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1109\/MSP.2010.936728","volume":"27","author":"P Mountney","year":"2010","unstructured":"Mountney, P., Stoyanov, D., Yang, G.Z.: Three-dimensional tissue deformation recovery and tracking. IEEE Signal Process. Mag. 27(4), 14\u201324 (2010)","journal-title":"IEEE Signal Process. Mag."}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2019"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-32239-7_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,10]],"date-time":"2024-10-10T00:06:01Z","timestamp":1728518761000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-32239-7_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030322380","9783030322397"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-32239-7_38","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"10 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenzhen","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.miccai2019.org\/","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":"1730","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":"539","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":"31% - 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":"3.07","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":"6.31","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":"This content has been made available to all.","name":"free","label":"Free to read"}]}}