{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T18:03:05Z","timestamp":1777658585798,"version":"3.51.4"},"publisher-location":"Cham","reference-count":53,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030012694","type":"print"},{"value":"9783030012700","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-01270-0_29","type":"book-chapter","created":{"date-parts":[[2018,10,5]],"date-time":"2018-10-05T18:07:51Z","timestamp":1538762871000},"page":"490-507","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["A Minimal Closed-Form Solution for Multi-perspective Pose Estimation using Points and Lines"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8551-2448","authenticated-orcid":false,"given":"Pedro","family":"Miraldo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7826-7421","authenticated-orcid":false,"given":"Tiago","family":"Dias","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2844-4119","authenticated-orcid":false,"given":"Srikumar","family":"Ramalingam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,10,6]]},"reference":[{"key":"29_CR1","doi-asserted-by":"crossref","unstructured":"Ramalingam, S., Bouaziz, S., Sturm, P.: Pose estimation using both points and lines for geo-localization. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 4716\u20134723 (2011)","DOI":"10.1109\/ICRA.2011.5979781"},{"key":"29_CR2","doi-asserted-by":"crossref","unstructured":"Kuang, Y., Astrom, K.: Pose estimation with unknown focal length using points, directions and lines. In: IEEE International Conference on Computer Vision (ICCV), pp. 529\u2013536 (2013)","DOI":"10.1109\/ICCV.2013.71"},{"issue":"3","key":"29_CR3","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1007\/BF02028352","volume":"13","author":"R Haralick","year":"1994","unstructured":"Haralick, R., Lee, C.N., Ottenberg, K., Nolle, M.: Review and analysis of solutions of the three point perspective pose estimation problem. Int. J. Comput. Vis. (IJCV) 13(3), 331\u2013356 (1994)","journal-title":"Int. J. Comput. Vis. (IJCV)"},{"key":"29_CR4","doi-asserted-by":"crossref","unstructured":"Gao, X.S., Hou, X.R., Tang, J., Cheng, H.F.: Complete solution classification for the perspective-three-point problem. IEEE Trans. Pattern Anal. Mach. Intell. (T-PAMI) 25(8), 930\u2013943 (2003)","DOI":"10.1109\/TPAMI.2003.1217599"},{"key":"29_CR5","doi-asserted-by":"crossref","unstructured":"Kneip, L., Scaramuzza, D., Siegwart, R.: A novel parametrization of the perspective-three-point problem for a direct computation of absolute camera position and orientation. In: IEEE Conference on Computer Vision and Patter Recognition (CVPR), pp. 2969\u20132976 (2011)","DOI":"10.1109\/CVPR.2011.5995464"},{"key":"29_CR6","doi-asserted-by":"crossref","unstructured":"Ke, T., Roumeliotis, S.I.: An efficient algebraic solution to the perspective-three-point problem. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4618\u20134626 (2017)","DOI":"10.1109\/CVPR.2017.491"},{"key":"29_CR7","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.cviu.2017.10.005","volume":"166","author":"P Wang","year":"2018","unstructured":"Wang, P., Xu, G., Wang, Z., Cheng, Y.: An efficient solution to the perspective-three-point pose problem. Comput. Vis. Image Underst. (CVIU) 166, 81\u201387 (2018)","journal-title":"Comput. Vis. Image Underst. (CVIU)"},{"issue":"12","key":"29_CR8","doi-asserted-by":"publisher","first-page":"1265","DOI":"10.1109\/34.41365","volume":"11","author":"M. Dhome","year":"1989","unstructured":"Dhome, M., Richetin, M., Lapreste, J.T., Rives, G.: Determination of the attitude of 3D objects from a single perspective view. IEEE Trans. Pattern Anal. Mach. Intell. (T-PAMI) 11(12), 1265\u20131278 (1989)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"29_CR9","doi-asserted-by":"crossref","unstructured":"Chen, H.H.: Pose determination from line-to-plane correspondences: existence condition and closed-form solutions. In: IEEE International Conference on Computer Vision (ICCV), pp. 374\u2013378 (1990)","DOI":"10.1109\/ICCV.1990.139554"},{"issue":"7","key":"29_CR10","doi-asserted-by":"publisher","first-page":"837","DOI":"10.1177\/0278364914557969","volume":"34","author":"GH Lee","year":"2015","unstructured":"Lee, G.H., Lin, B., Pollefeys, M., Fraundorfer, F.: Minimal solutions for the multi-camera pose estimation problem. Int. J. Robot. Res. (IJRR) 34(7), 837\u2013848 (2015)","journal-title":"Int. J. Robot. Res. (IJRR)"},{"key":"29_CR11","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1007\/978-3-319-46454-1_11","volume-title":"Computer Vision \u2013 ECCV 2016","author":"Gim Hee Lee","year":"2016","unstructured":"Lee, G.H.: A minimal solution for non-perspective pose estimation from line correspondences. In: European Conference on Computer Vision (ECCV), pp. 170\u2013185 (2016)"},{"key":"29_CR12","doi-asserted-by":"crossref","unstructured":"Chen, C.S., Chang, W.Y.: On pose recovery for generalized visual sensors. IEEE Trans. Pattern Anal. Mach. Intell. 26(7), 848\u2013861 (2004)","DOI":"10.1109\/TPAMI.2004.34"},{"key":"29_CR13","doi-asserted-by":"crossref","unstructured":"Nister, D.: A minimal solution to the generalised 3-point pose problem. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 560\u2013567 (2004)","DOI":"10.1109\/CVPR.2004.1315081"},{"key":"29_CR14","doi-asserted-by":"crossref","unstructured":"Miraldo, P., Araujo, H.: A simple and robust solution to the minimal general pose estimation. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 2119\u20132125 (2014)","DOI":"10.1109\/ICRA.2014.6907150"},{"key":"29_CR15","doi-asserted-by":"crossref","unstructured":"Ansar, A., Daniilidis, K.: Linear pose estimation using points or lines. IEEE Trans. Pattern Anal. Mach. Intell. (T-PAMI) 25(5), 578\u2013589 (2003)","DOI":"10.1109\/TPAMI.2003.1195992"},{"key":"29_CR16","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1007\/978-3-319-46478-7_36","volume-title":"Computer Vision \u2013 ECCV 2016","author":"Alexander Vakhitov","year":"2016","unstructured":"Vakhitov, A., Funke, J., Moreno-Noguer, F.: Accurate and linear time pose estimation from points and lines. In: European Conference on Computer Vision (ECCV), pp. 583\u2013599 (2016)"},{"key":"29_CR17","first-page":"108","volume":"2","author":"MD Grossberg","year":"2001","unstructured":"Grossberg, M.D., Nayar, S.K.: A general imaging model and a method for finding its parameters. IEEE Int. Conf. Comput. Vis. (ICCV) 2, 108\u2013115 (2001)","journal-title":"IEEE Int. Conf. Comput. Vis. (ICCV)"},{"key":"29_CR18","first-page":"1","volume-title":"Lecture Notes in Computer Science","author":"Peter Sturm","year":"2004","unstructured":"Sturm, P., Ramalingam, S.: A generic concept for camera calibration. In: European Conference on Computer Vision (ECCV), pp. 1\u201313 (2004)"},{"key":"29_CR19","doi-asserted-by":"crossref","unstructured":"Miraldo, P., Araujo, H., Queiro, J.: Point-based calibration using a parametric representation of general imaging models. In: IEEE International Conference Computer Vision (ICCV), pp. 2304\u20132311 (2011)","DOI":"10.1109\/ICCV.2011.6126511"},{"issue":"1\u20132","key":"29_CR20","first-page":"1","volume":"2","author":"P Sturm","year":"2011","unstructured":"Sturm, P., Ramalingam, S., Tardif, J.P., Gasparini, S., Barreto, J.: Camera models and fundamental concepts used in geometric computer vision. Found. Trends Comput. Graph. Comput. Vis. 2(1\u20132), 1\u2013183 (2011)","journal-title":"Found. Trends Comput. Graph. Comput. Vis."},{"key":"29_CR21","doi-asserted-by":"crossref","unstructured":"Schweighofer, G., Pinz, A.: Globally optimal O(n) solution to the pnp problem for general camera models. In: British Machine Vision Conference (BMVC), pp. 1\u20138 (2008)","DOI":"10.5244\/C.22.55"},{"key":"29_CR22","doi-asserted-by":"crossref","unstructured":"Miraldo, P., Araujo, H., Gonalves, N.: Pose estimation for general cameras using lines. IEEE Trans. Cybern. 45(10), 2156\u20132164","DOI":"10.1109\/TCYB.2014.2366378"},{"key":"29_CR23","doi-asserted-by":"crossref","unstructured":"Caglioti, V., Gasparini, S.: On the localization of straight lines in 3D space from single 2D images. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 1129\u20131134 (2005)","DOI":"10.1109\/CVPR.2005.257"},{"key":"29_CR24","unstructured":"Swaminathan, R., Wu, A., Dong, H.: Depth from distortions. In: Workshop on Omnidirectional Vision, Camera Networks and Non-classical Cameras (OMNIVIS) (2008)"},{"key":"29_CR25","doi-asserted-by":"crossref","first-page":"585","DOI":"10.1007\/978-3-319-16865-4_38","volume-title":"Computer Vision -- ACCV 2014","author":"Jesus Bermudez-Cameo","year":"2015","unstructured":"Bermudez-Cameo, J., Barreto, J.P., Lopez-Nicolas, G., Guerrero, J.J.: Minimal solution for computing pairs of lines in non-central cameras. In: Asian Conference on Computer Vision (ACCV), pp. 585\u2013597 (2014)"},{"key":"29_CR26","doi-asserted-by":"crossref","unstructured":"Camposeco, F., Cohen, A., Pollefeys, M., Sattler, T.: Hybrid pose estimation. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 136\u2013144 (2018)","DOI":"10.1109\/CVPR.2018.00022"},{"key":"29_CR27","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1007\/978-3-642-19315-6_2","volume-title":"Computer Vision \u2013 ACCV 2010","author":"Martin Bujnak","year":"2011","unstructured":"Bujnak, M., Kukelova, Z., Pajdla, T.: New efficient solution to the absolute pose problem for camera with unknown focal length and radial distortion. In: Asian Conference on Computer Vision (ACCV), pp. 11\u201324 (2011)"},{"key":"29_CR28","doi-asserted-by":"crossref","unstructured":"Micusik, B., Wildenauer, H.: Minimal solution for uncalibrated absolute pose problem with a known vanishing point. In: IEEE International Conference on 3D Vision (3DV), pp. 143\u2013150 (2013)","DOI":"10.1109\/3DV.2013.27"},{"key":"29_CR29","doi-asserted-by":"crossref","unstructured":"Kukelova, Z., Bujnak, M., Pajdla, T.: Real-time solution to the absolute pose problem with unknown radial distortion and focal length. In: IEEE International Conference on Computer Vision (ICCV), pp. 2816\u20132823 (2013)","DOI":"10.1109\/ICCV.2013.350"},{"key":"29_CR30","doi-asserted-by":"crossref","unstructured":"Kuang, Y., Solem, J.E., Kahl, F., Astrom, K.: Minimal solvers for relative pose with a single unknown radial distortion. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 33\u201340 (2014)","DOI":"10.1109\/CVPR.2014.12"},{"key":"29_CR31","doi-asserted-by":"crossref","unstructured":"Wu, C.: P3.5P: pose estimation with unknown focal length. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2440\u20132448 (2015)","DOI":"10.1109\/CVPR.2015.7298858"},{"key":"29_CR32","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1007\/978-3-642-19309-5_17","volume-title":"Computer Vision \u2013 ACCV 2010","author":"Zuzana Kukelova","year":"2011","unstructured":"Kukelova, Z., Bujnak, M., Pajdla, T.: Closed-form solutions to minimal absolute pose problems with known vertical direction. In: Asian Conference on Computer Vision (ACCV), pp. 216\u2013229 (2010)"},{"key":"29_CR33","doi-asserted-by":"crossref","unstructured":"Sweeney, C., Flynn, J., Nuernberger, B., Turk, M., Hollerer, T.: Efficient computation of absolute pose for gravity-aware augmented reality. In: IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 19\u201324 (2015)","DOI":"10.1109\/ISMAR.2015.20"},{"key":"29_CR34","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1007\/978-3-319-46454-1_13","volume-title":"Computer Vision \u2013 ECCV 2016","author":"Federico Camposeco","year":"2016","unstructured":"Camposeco, F., Sattler, T., Pollefeys, M.: Minimal solvers for generalized pose and scale estimation from two rays and one point. In: European Conference on Computer Vision (ECCV), pp. 202\u2013218 (2016)"},{"key":"29_CR35","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1007\/978-3-319-10593-2_2","volume-title":"Computer Vision \u2013 ECCV 2014","author":"Chris Sweeney","year":"2014","unstructured":"Sweeney, C., Fragoso, V., H\u00f6llerer, T., Turk, M.: gDLS: a scalable solution to the generalized pose and scale problem. In: European Conference on Computer Vision (ECCV), pp. 16\u201331 (2014)"},{"key":"29_CR36","doi-asserted-by":"crossref","unstructured":"Ventura, J., Arth, C., Reitmayr, G., Schmalstieg, D.: A minimal solution to the generalized pose-and-scale problem. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 422\u2013429 (2014)","DOI":"10.1109\/CVPR.2014.61"},{"key":"29_CR37","doi-asserted-by":"crossref","unstructured":"Haner, S., Astrom, K.: Absolute pose for cameras under flat refractive interfaces. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1428\u20131436 (2015)","DOI":"10.1109\/CVPR.2015.7298749"},{"key":"29_CR38","doi-asserted-by":"crossref","unstructured":"Albl, C., Kukelova, Z., Pajdla, T.: R6P - rolling shutter absolute pose problem. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2292\u20132300 (2015)","DOI":"10.1109\/CVPR.2015.7298842"},{"key":"29_CR39","doi-asserted-by":"crossref","unstructured":"Hartley, R., Zisserman, A.: Multiple View in Geometry in Computer Vision, 2nd edn. Cambridge University Press Cambridge (2004)","DOI":"10.1017\/CBO9780511811685"},{"key":"29_CR40","unstructured":"Ma, Y., Soatto, S., Kosecka, J., Sastry, S.S.: An Invitation to 3-D Vision: From Images to Geometric Models, 1st edn. Springer, New York (2003)"},{"key":"29_CR41","doi-asserted-by":"crossref","unstructured":"Pottmann, H., Wallner, J.: Computational Line Geometry, 1st edn. Springer, Berlin (2001)","DOI":"10.1007\/978-3-642-04018-4"},{"key":"29_CR42","doi-asserted-by":"crossref","unstructured":"Cox, D.A., Little, J., O\u2019Shea, D.: Ideals, Varieties, and Algorithms: An Introduction to Computational Algebraic Geometry and Commutative Algebra, 4th edn. Springer International Publishing, Berlin (2015)","DOI":"10.1007\/978-3-319-16721-3"},{"key":"29_CR43","unstructured":"Stew\u00e9nius, H.: Gr\u00f6bner Basis Methods for Minimal Problems in Computer Vision. Ph.D. thesis, Centre for Mathematical Sciences, Lund University, Box 118, SE-221 00 Lund, Sweden (2005)"},{"key":"29_CR44","first-page":"302","volume-title":"Lecture Notes in Computer Science","author":"Zuzana Kukelova","year":"2008","unstructured":"Kukelova, Z., Bujnak, M., Pajdla, T.: Automatic generator of minimal problem solvers. In: European Conference on Computer Vision (ECCV), pp. 302\u2013315 (2008)"},{"issue":"7","key":"29_CR45","doi-asserted-by":"publisher","first-page":"1381","DOI":"10.1109\/TPAMI.2011.230","volume":"34","author":"Zuzana 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. (T-PAMI) 7(34), 1381\u20131393 (2012)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"29_CR46","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1007\/978-3-319-46487-9_16","volume-title":"Computer Vision \u2013 ECCV 2016","author":"Viktor Larsson","year":"2016","unstructured":"Larsson, V., Astrom, K.: Uncovering symmetries in polynomial systems. In: European Conferene on Computer Vision (ECCV), pp. 252\u2013267 (2016)"},{"key":"29_CR47","doi-asserted-by":"crossref","unstructured":"Larsson, V., Astrom, K., Oskarsson, M.: Polynomial solvers for saturated ideals. In: IEEE International Conference on Computer Vision (ICCV), pp. 2307\u20132316 (2017)","DOI":"10.1109\/ICCV.2017.251"},{"issue":"6","key":"29_CR48","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":"29_CR49","first-page":"199","volume":"1","author":"D Nister","year":"2003","unstructured":"Nister, D.: Preemptive ransac for live structure and motion estimation. IEEE Int. Conf. Comput. Vis. (ICCV) 1, 199\u2013206 (2003)","journal-title":"IEEE Int. Conf. Comput. Vis. (ICCV)"},{"key":"29_CR50","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/j.cviu.2016.03.017","volume":"157","author":"M Hofer","year":"2017","unstructured":"Hofer, M., Maurer, M., Bischof, H.: Efficient 3D scene abstraction using line segments. Comput. Vis. Image Underst. 157, 167\u2013178 (2017)","journal-title":"Comput. Vis. Image Underst."},{"key":"29_CR51","unstructured":"Sch\u00f6ps, T., et al.: ETH3D Benchmark. https:\/\/www.eth3d.net\/ (2018). Accessed 24 July 2018"},{"key":"29_CR52","doi-asserted-by":"crossref","unstructured":"Wu, C., Agarwal, S., Curless, B., Seitz, S.M.: Multicore bundle adjustment. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3057\u20133064 (2011)","DOI":"10.1109\/CVPR.2011.5995552"},{"key":"29_CR53","doi-asserted-by":"crossref","unstructured":"Wu, C., Agarwal, S., Curless, B., Seitz, S.M.: Towards linear-time incremental structure from motion. In: IEEE International Conference on 3D Vision (3DV), pp. 127\u2013134 (2013)","DOI":"10.1109\/3DV.2013.25"}],"updated-by":[{"DOI":"10.1007\/978-3-030-01270-0_51","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2018,11,20]],"date-time":"2018-11-20T00:00:00Z","timestamp":1542672000000}}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-01270-0_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T18:39:09Z","timestamp":1775241549000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-01270-0_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030012694","9783030012700"],"references-count":53,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-01270-0_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"6 October 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"20 November 2018","order":2,"name":"change_date","label":"Change Date","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Correction","order":3,"name":"change_type","label":"Change Type","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The original version of this chapter unfortunately contained a mistake. The presentation of Eq. 5 was incorrect. The original chapter has been corrected.","order":4,"name":"change_details","label":"Change Details","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":"Munich","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2018.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}