{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T13:05:11Z","timestamp":1760101511225,"version":"3.40.3"},"publisher-location":"Cham","reference-count":53,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031730009"},{"type":"electronic","value":"9783031730016"}],"license":[{"start":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T00:00:00Z","timestamp":1732665600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T00:00:00Z","timestamp":1732665600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-73001-6_7","type":"book-chapter","created":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T10:21:18Z","timestamp":1732616478000},"page":"109-126","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Six-Point Method for\u00a0Multi-camera Systems with\u00a0Reduced Solution Space"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2123-0182","authenticated-orcid":false,"given":"Banglei","family":"Guan","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0150-4601","authenticated-orcid":false,"given":"Ji","family":"Zhao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6727-6608","authenticated-orcid":false,"given":"Laurent","family":"Kneip","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,11,27]]},"reference":[{"issue":"9","key":"7_CR1","first-page":"4961","volume":"44","author":"D Barath","year":"2022","unstructured":"Barath, D., Matas, J.: Graph-cut RANSAC: local optimization on spatially coherent structures. IEEE Trans. Pattern Anal. Mach. Intell. 44(9), 4961\u20134974 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"11","key":"7_CR2","first-page":"8420","volume":"44","author":"D Barath","year":"2022","unstructured":"Barath, D., Noskova, J., Matas, J.: Marginalizing sample consensus. IEEE Trans. Pattern Anal. Mach. Intell. 44(11), 8420\u20138432 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"7_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"723","DOI":"10.1007\/978-3-030-58621-8_42","volume-title":"Computer Vision \u2013 ECCV 2020","author":"D Barath","year":"2020","unstructured":"Barath, D., Polic, M., F\u00f6rstner, W., Sattler, T., Pajdla, T., Kukelova, Z.: Making affine correspondences work in camera geometry computation. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12356, pp. 723\u2013740. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58621-8_42"},{"issue":"10","key":"7_CR4","doi-asserted-by":"publisher","first-page":"1157","DOI":"10.1177\/0278364915620033","volume":"35","author":"M Burri","year":"2016","unstructured":"Burri, M., et al.: The EuRoC micro aerial vehicle datasets. Int. J. Robot. Res. 35(10), 1157\u20131163 (2016)","journal-title":"Int. J. Robot. Res."},{"issue":"3","key":"7_CR5","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1007\/s11263-009-0235-z","volume":"84","author":"M Byr\u00f6d","year":"2009","unstructured":"Byr\u00f6d, M., Josephson, K., Astr\u00f6m, K.: Fast and stable polynomial equation solving and its application to computer vision. Int. J. Comput. Vis. 84(3), 237\u2013256 (2009)","journal-title":"Int. J. Comput. Vis."},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"Caesar, H., et al.: nuScenes: a multimodal dataset for autonomous driving. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 11621\u201311631 (2020)","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"7_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"627","DOI":"10.1007\/978-3-030-58610-2_37","volume-title":"Computer Vision \u2013 ECCV 2020","author":"I Eichhardt","year":"2020","unstructured":"Eichhardt, I., Barath, D.: Relative pose from deep learned depth and a single affine correspondence. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12357, pp. 627\u2013644. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58610-2_37"},{"issue":"2","key":"7_CR8","doi-asserted-by":"publisher","first-page":"857","DOI":"10.1109\/LRA.2018.2792142","volume":"3","author":"K Fathian","year":"2018","unstructured":"Fathian, K., Ramirez-Paredes, J.P., Doucette, E.A., Curtis, J.W., Gans, N.R.: QuEst: a quaternion-based approach for camera motion estimation from minimal feature points. IEEE Robot. Autom. Lett. 3(2), 857\u2013864 (2018)","journal-title":"IEEE Robot. Autom. Lett."},{"issue":"6","key":"7_CR9","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"},{"issue":"11","key":"7_CR10","doi-asserted-by":"publisher","first-page":"1231","DOI":"10.1177\/0278364913491297","volume":"32","author":"A Geiger","year":"2013","unstructured":"Geiger, A., Lenz, P., Stiller, C., Urtasun, R.: Vision meets robotics: the KITTI dataset. Int. J. Robot. Res. 32(11), 1231\u20131237 (2013)","journal-title":"Int. J. Robot. Res."},{"key":"7_CR11","unstructured":"Grayson, D.R., Stillman, M.E.: Macaulay\u00a02, a software system for research in algebraic geometry (2002). https:\/\/faculty.math.illinois.edu\/Macaulay2\/"},{"key":"7_CR12","doi-asserted-by":"crossref","unstructured":"Grossberg, M.D., Nayar, S.K.: A general imaging model and a method for finding its parameters. In: IEEE International Conference on Computer Vision, vol.\u00a02, pp. 108\u2013115. IEEE (2001)","DOI":"10.1109\/ICCV.2001.937611"},{"key":"7_CR13","doi-asserted-by":"crossref","unstructured":"Guan, B., Vasseur, P., Demonceaux, C., Fraundorfer, F.: Visual odometry using a homography formulation with decoupled rotation and translation estimation using minimal solutions. In: IEEE International Conference on Robotics and Automation, pp. 2320\u20132327 (2018)","DOI":"10.1109\/ICRA.2018.8460747"},{"key":"7_CR14","doi-asserted-by":"publisher","first-page":"634","DOI":"10.1007\/978-3-031-19824-3_37","volume-title":"European Conference on Computer Vision 2022","author":"B Guan","year":"2022","unstructured":"Guan, B., Zhao, J.: Affine correspondences between multi-camera systems for 6DOF relative pose estimation. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022. LNCS, vol. 13692, pp. 634\u2013650. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-19824-3_37"},{"key":"7_CR15","doi-asserted-by":"crossref","unstructured":"Guan, B., Zhao, J., Barath, D., Fraundorfer, F.: Efficient recovery of multi-camera motion from two affine correspondences. In: IEEE International Conference on Robotics and Automation, pp. 1305\u20131311 (2021)","DOI":"10.1109\/ICRA48506.2021.9561796"},{"issue":"1","key":"7_CR16","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1007\/s11263-022-01690-w","volume":"131","author":"B Guan","year":"2023","unstructured":"Guan, B., Zhao, J., Barath, D., Fraundorfer, F.: Minimal solvers for relative pose estimation of multi-camera systems using affine correspondences. Int. J. Comput. Vis. 131(1), 324\u2013345 (2023)","journal-title":"Int. J. Comput. Vis."},{"key":"7_CR17","unstructured":"Guichard, D.: Combinatorics and Graph Theory. LibreTexts (2023)"},{"key":"7_CR18","volume-title":"Multiple View Geometry in Computer Vision","author":"R Hartley","year":"2003","unstructured":"Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2003)"},{"issue":"6","key":"7_CR19","doi-asserted-by":"publisher","first-page":"580","DOI":"10.1109\/34.601246","volume":"19","author":"RI Hartley","year":"1997","unstructured":"Hartley, R.I.: In defense of the eight-point algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 19(6), 580\u2013593 (1997)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"7_CR20","doi-asserted-by":"crossref","unstructured":"Kasten, Y., Galun, M., Basri, R.: Resultant based incremental recovery of camera pose from pairwise matches. In: IEEE Winter Conference on Applications of Computer Vision, pp. 1080\u20131088 (2019)","DOI":"10.1109\/WACV.2019.00120"},{"issue":"6","key":"7_CR21","first-page":"1044","volume":"32","author":"JH Kim","year":"2009","unstructured":"Kim, J.H., Li, H., Hartley, R.: Motion estimation for nonoverlapping multicamera rigs: linear algebraic and $$L_{\\infty }$$ geometric solutions. IEEE Trans. Pattern Anal. Mach. Intell. 32(6), 1044\u20131059 (2009)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"7_CR22","doi-asserted-by":"crossref","unstructured":"Kneip, L., Furgale, P.: OpenGV: a unified and generalized approach to real-time calibrated geometric vision. In: IEEE International Conference on Robotics and Automation, pp. 12034\u201312043 (2014)","DOI":"10.1109\/ICRA.2014.6906582"},{"key":"7_CR23","doi-asserted-by":"crossref","unstructured":"Kneip, L., Li, H.: Efficient computation of relative pose for multi-camera systems. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 446\u2013453 (2014)","DOI":"10.1109\/CVPR.2014.64"},{"key":"7_CR24","doi-asserted-by":"crossref","unstructured":"Kneip, L., Lynen, S.: Direct optimization of frame-to-frame rotation. In: IEEE International Conference on Computer Vision, pp. 2352\u20132359 (2013)","DOI":"10.1109\/ICCV.2013.292"},{"key":"7_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"696","DOI":"10.1007\/978-3-642-33783-3_50","volume-title":"Computer Vision \u2013 ECCV 2012","author":"L Kneip","year":"2012","unstructured":"Kneip, L., Siegwart, R., Pollefeys, M.: Finding the exact rotation between two images independently of the translation. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7577, pp. 696\u2013709. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-33783-3_50"},{"issue":"7","key":"7_CR26","doi-asserted-by":"publisher","first-page":"1381","DOI":"10.1109\/TPAMI.2011.230","volume":"34","author":"Z Kukelova","year":"2012","unstructured":"Kukelova, Z., Bujnak, M., Pajdla, T.: Polynomial eigenvalue solutions to minimal problems in computer vision. IEEE Trans. Pattern Anal. Mach. Intell. 34(7), 1381\u20131393 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"7_CR27","doi-asserted-by":"crossref","unstructured":"Larsson, V., Astr\u00f6m, K., Oskarsson, M.: Efficient solvers for minimal problems by syzygy-based reduction. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 820\u2013828 (2017)","DOI":"10.1109\/CVPR.2017.256"},{"key":"7_CR28","doi-asserted-by":"crossref","unstructured":"Larsson, V., Astr\u00f6m, K., Oskarsson, M.: Polynomial solvers for saturated ideals. In: IEEE International Conference on Computer Vision, pp. 2288\u20132297 (2017)","DOI":"10.1109\/ICCV.2017.251"},{"key":"7_CR29","unstructured":"Larsson, V.: PoseLib - minimal solvers for camera pose estimation (2020). https:\/\/github.com\/vlarsson\/PoseLib"},{"key":"7_CR30","doi-asserted-by":"crossref","unstructured":"Lebeda, K., Matas, J., Chum, O.: Fixing the locally optimized RANSAC. In: British Machine Vision Conference (2012)","DOI":"10.5244\/C.26.95"},{"key":"7_CR31","doi-asserted-by":"crossref","unstructured":"Lee, G.H., Faundorfer, F., Pollefeys, M.: Motion estimation for self-driving cars with a generalized camera. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 2746\u20132753 (2013)","DOI":"10.1109\/CVPR.2013.354"},{"key":"7_CR32","doi-asserted-by":"crossref","unstructured":"Lee, G.H., Pollefeys, M., Fraundorfer, F.: Relative pose estimation for a multi-camera system with known vertical direction. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 540\u2013547 (2014)","DOI":"10.1109\/CVPR.2014.76"},{"key":"7_CR33","doi-asserted-by":"crossref","unstructured":"Lee, S.H., Civera, J.: Closed-form optimal two-view triangulation based on angular errors. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 2681\u20132689 (2019)","DOI":"10.1109\/ICCV.2019.00277"},{"key":"7_CR34","doi-asserted-by":"crossref","unstructured":"Li, H., Hartley, R.: Five-point motion estimation made easy. In: International Conference on Pattern Recognition, pp. 630\u2013633 (2006)","DOI":"10.1109\/ICPR.2006.579"},{"key":"7_CR35","unstructured":"Li, H., Hartley, R., Kim, J.H.: A linear approach to motion estimation using generalized camera models. In: IEEE Conference on Computer Vision and Pattern Recognition, pp.\u00a01\u20138 (2008)"},{"key":"7_CR36","volume-title":"Finite Fields","author":"R Lidl","year":"1997","unstructured":"Lidl, R., Niederreiter, H.: Finite Fields. Cambridge University Press, Cambridge (1997)"},{"issue":"8","key":"7_CR37","doi-asserted-by":"publisher","first-page":"2432","DOI":"10.1109\/TITS.2017.2749409","volume":"19","author":"L Liu","year":"2017","unstructured":"Liu, L., Li, H., Dai, Y., Pan, Q.: Robust and efficient relative pose with a multi-camera system for autonomous driving in highly dynamic environments. IEEE Trans. Intell. Transp. Syst. 19(8), 2432\u20132444 (2017)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"2","key":"7_CR38","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. Vis. 60(2), 91\u2013110 (2004)","journal-title":"Int. J. Comput. Vis."},{"key":"7_CR39","doi-asserted-by":"crossref","unstructured":"Martyushev, E., Vr\u00e1bl\u00edkov\u00e1, J., Pajdla, T.: Optimizing elimination templates by greedy parameter search. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 15754\u201315764 (2022)","DOI":"10.1109\/CVPR52688.2022.01530"},{"issue":"6","key":"7_CR40","doi-asserted-by":"publisher","first-page":"756","DOI":"10.1109\/TPAMI.2004.17","volume":"26","author":"D Nist\u00e9r","year":"2004","unstructured":"Nist\u00e9r, D.: An efficient solution to the five-point relative pose problem. IEEE Trans. Pattern Anal. Mach. Intell. 26(6), 756\u2013777 (2004)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"7_CR41","unstructured":"Pless, R.: Using many cameras as one. In: IEEE Conference on Computer Vision and Pattern Recognition, pp.\u00a01\u20137 (2003)"},{"issue":"8","key":"7_CR42","doi-asserted-by":"publisher","first-page":"774","DOI":"10.1109\/34.784291","volume":"21","author":"L Quan","year":"1999","unstructured":"Quan, L., Lan, Z.: Linear n-point camera pose determination. IEEE Trans. Pattern Anal. Mach. Intell. 21(8), 774\u2013780 (1999)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"8","key":"7_CR43","doi-asserted-by":"publisher","first-page":"2022","DOI":"10.1109\/TPAMI.2012.257","volume":"35","author":"R Raguram","year":"2012","unstructured":"Raguram, R., Chum, O., Pollefeys, M., Matas, J., Frahm, J.M.: USAC: a universal framework for random sample consensus. IEEE Trans. Pattern Anal. Mach. Intell. 35(8), 2022\u20132038 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"4","key":"7_CR44","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1016\/j.isprsjprs.2006.03.005","volume":"60","author":"H Stew\u00e9nius","year":"2006","unstructured":"Stew\u00e9nius, H., Engels, C., Nist\u00e9r, D.: Recent developments on direct relative orientation. ISPRS J. Photogramm. Remote. Sens. 60(4), 284\u2013294 (2006)","journal-title":"ISPRS J. Photogramm. Remote. Sens."},{"key":"7_CR45","doi-asserted-by":"crossref","unstructured":"Stew\u00e9nius, H., Nist\u00e9r, D., Kahl, F., Schaffalitzky, F.: A minimal solution for relative pose with unknown focal length. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 789\u2013794 (2005)","DOI":"10.1109\/CVPR.2005.36"},{"key":"7_CR46","unstructured":"Stew\u00e9nius, H., Oskarsson, M., Astr\u00f6m, K., Nist\u00e9r, D.: Solutions to minimal generalized relative pose problems. In: Workshop on Omnidirectional Vision in conjunction with ICCV, pp.\u00a01\u20138 (2005)"},{"key":"7_CR47","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-540-24671-8_1","volume-title":"Computer Vision - ECCV 2004","author":"P Sturm","year":"2004","unstructured":"Sturm, P., Ramalingam, S.: A generic concept for camera calibration. In: Pajdla, T., Matas, J. (eds.) ECCV 2004. LNCS, vol. 3022, pp. 1\u201313. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-24671-8_1"},{"key":"7_CR48","doi-asserted-by":"crossref","unstructured":"Sweeney, C., Flynn, J., Turk, M.: Solving for relative pose with a partially known rotation is a quadratic eigenvalue problem. In: International Conference on 3D Vision, pp. 483\u2013490 (2014)","DOI":"10.1109\/3DV.2014.66"},{"key":"7_CR49","doi-asserted-by":"crossref","unstructured":"Ventura, J., Arth, C., Lepetit, V.: An efficient minimal solution for multi-camera motion. In: IEEE International Conference on Computer Vision, pp. 747\u2013755 (2015)","DOI":"10.1109\/ICCV.2015.92"},{"issue":"4","key":"7_CR50","first-page":"1777","volume":"44","author":"J Zhao","year":"2022","unstructured":"Zhao, J.: An efficient solution to non-minimal case essential matrix estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(4), 1777\u20131792 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"5","key":"7_CR51","first-page":"1176","volume":"42","author":"J Zhao","year":"2020","unstructured":"Zhao, J., Kneip, L., He, Y., Ma, J.: Minimal case relative pose computation using ray-point-ray features. IEEE Trans. Pattern Anal. Mach. Intell. 42(5), 1176\u20131190 (2020)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"7_CR52","doi-asserted-by":"crossref","unstructured":"Zhao, J., Xu, W., Kneip, L.: A certifiably globally optimal solution to generalized essential matrix estimation. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 12034\u201312043 (2020)","DOI":"10.1109\/CVPR42600.2020.01205"},{"key":"7_CR53","doi-asserted-by":"crossref","unstructured":"Zheng, E., Wu, C.: Structure from motion using structure-less resection. In: IEEE International Conference on Computer Vision, pp. 2075\u20132083 (2015)","DOI":"10.1109\/ICCV.2015.240"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-73001-6_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T11:07:41Z","timestamp":1732619261000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-73001-6_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,27]]},"ISBN":["9783031730009","9783031730016"],"references-count":53,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-73001-6_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,27]]},"assertion":[{"value":"27 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Milan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2024.ecva.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}