{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T09:14:02Z","timestamp":1743066842655,"version":"3.40.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031082764"},{"type":"electronic","value":"9783031082771"}],"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\/978-3-031-08277-1_1","type":"book-chapter","created":{"date-parts":[[2022,6,16]],"date-time":"2022-06-16T12:13:01Z","timestamp":1655381581000},"page":"3-18","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["3D Dense & Scaled Reconstruction Pipeline with\u00a0Smartphone Acquisition"],"prefix":"10.1007","author":[{"given":"Quentin","family":"Thisse","sequence":"first","affiliation":[]},{"given":"Dominique","family":"Houzet","sequence":"additional","affiliation":[]},{"given":"J\u00e9r\u00e9my","family":"Adoux","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,17]]},"reference":[{"unstructured":"AliceVision: Meshroom: A 3D reconstruction software (2018). https:\/\/github.com\/alicevision\/meshroom","key":"1_CR1"},{"unstructured":"Apple: Arkit (2020). https:\/\/developer.apple.com\/arkit\/","key":"1_CR2"},{"unstructured":"Autodesk, INC. https:\/\/www.autodesk.com\/","key":"1_CR3"},{"doi-asserted-by":"crossref","unstructured":"Cheng, J., Leng, C., Wu, J., Cui, H., Lu, H.: Fast and accurate image matching with cascade hashing for 3D reconstruction. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2014)","key":"1_CR4","DOI":"10.1109\/CVPR.2014.8"},{"doi-asserted-by":"crossref","unstructured":"Delaunoy, A., Pollefeys, M.: Photometric Bundle Adjustment for Dense Multi-View 3D Modeling (2014). https:\/\/hal.archives-ouvertes.fr\/hal-00985811, working paper or preprint","key":"1_CR5","DOI":"10.1109\/CVPR.2014.193"},{"issue":"1","key":"1_CR6","first-page":"2","volume":"4","author":"KG Derpanis","year":"2010","unstructured":"Derpanis, K.G.: Overview of the ransac algorithm. Image Rochester NY 4(1), 2\u20133 (2010)","journal-title":"Image Rochester NY"},{"key":"1_CR7","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1007\/s11263-009-0232-2","volume":"84","author":"Y Furukawa","year":"2008","unstructured":"Furukawa, Y., Ponce, J.: Accurate camera calibration from multi-view stereo and bundle adjustment. Int. J. Comput. Vision 84, 257\u2013268 (2008). https:\/\/doi.org\/10.1007\/s11263-009-0232-2","journal-title":"Int. J. Comput. Vision"},{"unstructured":"Google: Arcore (2020). https:\/\/developers.google.com\/ar\/","key":"1_CR8"},{"issue":"2","key":"1_CR9","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1006\/cviu.1997.0547","volume":"68","author":"R Hartley","year":"1997","unstructured":"Hartley, R., Sturm, P.: Triangulation. Comput. Vision Image Underst. 68(2), 146\u2013157 (1997)","journal-title":"Comput. Vision Image Underst."},{"doi-asserted-by":"publisher","unstructured":"Hiradate, M., Ito, K., Aoki, T., Watanabe, T., Unten, H.: An extension of patchmatch stereo for 3d reconstruction from multi-view images. In: 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), pp. 061\u2013065 (2015). https:\/\/doi.org\/10.1109\/ACPR.2015.7486466","key":"1_CR10","DOI":"10.1109\/ACPR.2015.7486466"},{"doi-asserted-by":"publisher","unstructured":"Klein, G., Murray, D.: Parallel tracking and mapping for small AR workspaces. In: Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality, ISMAR 2007, pp. 1\u201310. IEEE Computer Society, Washington (2007). https:\/\/doi.org\/10.1109\/ISMAR.2007.4538852","key":"1_CR11","DOI":"10.1109\/ISMAR.2007.4538852"},{"issue":"2","key":"1_CR12","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision 60(2), 91\u2013110 (2004)","journal-title":"Int. J. Comput. Vision"},{"doi-asserted-by":"publisher","unstructured":"Moritani, R., et al.: Streamlining photogrammetry-based 3d modeling of construction sites using a smartphone, cloud service and best-view guidance. In: Osumi, H., F.H.T.K. (ed.) Proceedings of the 37th International Symposium on Automation and Robotics in Construction (ISARC), pp. 1037\u20131044. International Association for Automation and Robotics in Construction (IAARC), Kitakyushu (2020). https:\/\/doi.org\/10.22260\/ISARC2020\/0143","key":"1_CR13","DOI":"10.22260\/ISARC2020\/0143"},{"doi-asserted-by":"publisher","unstructured":"Moulon, P., Monasse, P., Perrot, R., Marlet, R.: OpenMVG: open multiple view geometry. In: 1st Workshop on Reproducible Research in Pattern Recognition. LNCS, vol. 10214, pp. 60\u201374. Springer, Cancun (2016). https:\/\/doi.org\/10.1007\/978-3-319-56414-2_5, https:\/\/hal-enpc.archives-ouvertes.fr\/hal-01497080","key":"1_CR14","DOI":"10.1007\/978-3-319-56414-2_5"},{"doi-asserted-by":"publisher","unstructured":"Muratov, O., Slynko, Y., Chernov, V., Lyubimtseva, M., Shamsuarov, A., Bucha, V.: 3DCapture: 3D reconstruction for a smartphone. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 893\u2013900 (2016). https:\/\/doi.org\/10.1109\/CVPRW.2016.116","key":"1_CR15","DOI":"10.1109\/CVPRW.2016.116"},{"issue":"8","key":"1_CR16","doi-asserted-by":"publisher","first-page":"824","DOI":"10.1109\/34.308479","volume":"16","author":"S Nayar","year":"1994","unstructured":"Nayar, S., Nakagawa, Y.: Shape from focus. IEEE Trans. Pattern Anal. Mach. Intell. 16(8), 824\u2013831 (1994). https:\/\/doi.org\/10.1109\/34.308479","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"602","DOI":"10.1007\/978-3-642-33765-9_43","volume-title":"Computer Vision \u2013 ECCV 2012","author":"I Olonetsky","year":"2012","unstructured":"Olonetsky, I., Avidan, S.: TreeCANN - k-d tree coherence approximate nearest neighbor algorithm. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7575, pp. 602\u2013615. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-33765-9_43"},{"issue":"11","key":"1_CR18","doi-asserted-by":"publisher","first-page":"1251","DOI":"10.1109\/TVCG.2015.2459902","volume":"21","author":"P Ondruska","year":"2015","unstructured":"Ondruska, P., Kohli, P., Izadi, S.: Mobilefusion: real-time volumetric surface reconstruction and dense tracking on mobile phones. IEEE Trans. Visualization Comput. Graph. 21(11), 1251\u20131258 (2015)","journal-title":"IEEE Trans. Visualization Comput. Graph."},{"doi-asserted-by":"publisher","unstructured":"Poiesi, F., Locher, A., Chippendale, P., Nocerino, E., Remondino, F., Van Gool, L.: Cloud-based collaborative 3D reconstruction using smartphones. In: Proceedings of the 14th European Conference on Visual Media Production (CVMP 2017), CVMP 2017. Association for Computing Machinery, New York (2017). https:\/\/doi.org\/10.1145\/3150165.3150166","key":"1_CR19","DOI":"10.1145\/3150165.3150166"},{"issue":"5","key":"1_CR20","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1109\/TVCG.2014.2355207","volume":"21","author":"VA Prisacariu","year":"2015","unstructured":"Prisacariu, V.A., K\u00e4hler, O., Murray, D.W., Reid, I.D.: Real-time 3D tracking and reconstruction on mobile phones. IEEE Trans. Visual Comput. Graphics 21(5), 557\u2013570 (2015). https:\/\/doi.org\/10.1109\/TVCG.2014.2355207","journal-title":"IEEE Trans. Visual Comput. Graphics"},{"doi-asserted-by":"publisher","unstructured":"Romanoni, A., Delaunoy, A., Pollefeys, M., Matteucci, M.: Automatic 3D reconstruction of manifold meshes via delaunay triangulation and mesh sweeping (2016). https:\/\/doi.org\/10.1109\/WACV.2016.7477650","key":"1_CR21","DOI":"10.1109\/WACV.2016.7477650"},{"issue":"1","key":"1_CR22","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1186\/s40965-017-0027-2","volume":"2","author":"E Rupnik","year":"2017","unstructured":"Rupnik, E., Daakir, M., Pierrot Deseilligny, M.: Micmac - a free, open-source solution for photogrammetry. Open Geospat. Data Softw. Stand. 2(1), 14 (2017)","journal-title":"Open Geospat. Data Softw. Stand."},{"doi-asserted-by":"crossref","unstructured":"Sun, J., Xie, Y., Chen, L., Zhou, X., Bao, H.: Neuralrecon: Real-time coherent 3D reconstruction from monocular video. CoRR abs\/2104.00681 (2021). https:\/\/arxiv.org\/abs\/2104.00681","key":"1_CR23","DOI":"10.1109\/CVPR46437.2021.01534"},{"doi-asserted-by":"crossref","unstructured":"Tanskanen, P., Kolev, K., Meier, L., Camposeco, F., Saurer, O., Pollefeys, M.: Live metric 3D reconstruction on mobile phones. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV) (2013)","key":"1_CR24","DOI":"10.1109\/ICCV.2013.15"},{"doi-asserted-by":"publisher","unstructured":"Triggs, B., Mclauchlan, P., Hartley, R., Fitzgibbon, A.: Bundle adjustment - a modern synthesis. In: Triggs, B., Zisserman, A., Szeliski, R. (eds.) International Workshop on Vision Algorithms. Lecture Notes in Computer Science, vol. 1883, pp. 298\u2013372. Springer-Verlag, Corfu (2000). https:\/\/doi.org\/10.1007\/3-540-44480-7_21, https:\/\/hal.inria.fr\/inria-00548290, this work was supported in part by the European Commission Esprit LTR project CUMULI (B. Triggs), the UK EPSRC project GR\/L34099 (P.McLauchlan), and the Royal Society (A. Fitzgibbon)","key":"1_CR25","DOI":"10.1007\/3-540-44480-7_21"},{"unstructured":"TRNIO. https:\/\/www.trnio.com\/","key":"1_CR26"},{"key":"1_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"836","DOI":"10.1007\/978-3-319-10602-1_54","volume-title":"Computer Vision \u2013 ECCV 2014","author":"M Waechter","year":"2014","unstructured":"Waechter, M., Moehrle, N., Goesele, M.: Let there be color! large-scale texturing of 3D reconstructions. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8693, pp. 836\u2013850. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10602-1_54"},{"doi-asserted-by":"crossref","unstructured":"Wang, F., Galliani, S., Vogel, C., Speciale, P., Pollefeys, M.: Patchmatchnet: Learned multi-view patchmatch stereo. CoRR abs\/2012.01411 (2020). https:\/\/arxiv.org\/abs\/2012.01411","key":"1_CR28","DOI":"10.1109\/CVPR46437.2021.01397"}],"container-title":["Communications in Computer and Information Science","Intelligent Systems and Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-08277-1_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,16]],"date-time":"2022-06-16T12:15:37Z","timestamp":1655381737000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-08277-1_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031082764","9783031082771"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-08277-1_1","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":"17 June 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Systems and Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hammamet","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tunisia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 March 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 March 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ispr22022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ispr2022.sciencesconf.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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"91","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":"22","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":"10","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":"24% - 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":"3","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":"Due to the COVID-19 pandemic the conference was held online.","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)"}}]}}