{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T16:51:12Z","timestamp":1777654272974,"version":"3.51.4"},"publisher-location":"Cham","reference-count":40,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031198236","type":"print"},{"value":"9783031198243","type":"electronic"}],"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\/978-3-031-19824-3_27","type":"book-chapter","created":{"date-parts":[[2022,11,10]],"date-time":"2022-11-10T21:14:32Z","timestamp":1668114872000},"page":"454-469","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Relative Pose from\u00a0SIFT Features"],"prefix":"10.1007","author":[{"given":"Daniel","family":"Barath","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zuzana","family":"Kukelova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,11,11]]},"reference":[{"key":"27_CR1","doi-asserted-by":"crossref","unstructured":"Barath, D.: P-HAF: homography estimation using partial local affine frames. In: International Conference on Computer Vision Theory and Applications (2017)","DOI":"10.5220\/0006130302270235"},{"key":"27_CR2","doi-asserted-by":"crossref","unstructured":"Barath, D.: Five-point fundamental matrix estimation for uncalibrated cameras. In: Conference on Computer Vision and Pattern Recognition (2018)","DOI":"10.1109\/CVPR.2018.00032"},{"key":"27_CR3","unstructured":"Barath, D., Chin, T.J., Chum, O., Mishkin, D., Ranftl, R., Matas, J.: RANSAC in 2020 tutorial. In: CVPR (2020). http:\/\/cmp.felk.cvut.cz\/cvpr2020-ransac-tutorial\/"},{"key":"27_CR4","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1016\/j.patrec.2017.04.020","volume":"94","author":"D Barath","year":"2017","unstructured":"Barath, D., Hajder, L.: A theory of point-wise homography estimation. Pattern Recogn. Lett. 94, 7\u201314 (2017)","journal-title":"Pattern Recogn. Lett."},{"key":"27_CR5","doi-asserted-by":"crossref","unstructured":"Barath, D., Matas, J.: Graph-Cut RANSAC. In: Conference on Computer Vision and Pattern Recognition (2018)","DOI":"10.1109\/CVPR.2018.00704"},{"key":"27_CR6","doi-asserted-by":"crossref","unstructured":"Barath, D., Toth, T., Hajder, L.: A minimal solution for two-view focal-length estimation using two affine correspondences. In: Conference on Computer Vision and Pattern Recognition (2017)","DOI":"10.1109\/CVPR.2017.274"},{"key":"27_CR7","doi-asserted-by":"crossref","unstructured":"Barath, D.: Approximate Epipolar geometry from six rotation invariant correspondences. In: International Conference on Computer Vision Theory and Applications (2018)","DOI":"10.5220\/0006678304640471"},{"key":"27_CR8","doi-asserted-by":"crossref","unstructured":"Barath, D.: Recovering affine features from orientation-and scale-invariant ones. In: Asian Conference on Computer Vision (2018)","DOI":"10.1007\/978-3-030-20887-5_17"},{"issue":"11","key":"27_CR9","doi-asserted-by":"publisher","first-page":"5328","DOI":"10.1109\/TIP.2018.2849866","volume":"27","author":"D Barath","year":"2018","unstructured":"Barath, D., Hajder, L.: Efficient recovery of essential matrix from two affine correspondences. IEEE Trans. Image Process. 27(11), 5328\u20135337 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"27_CR10","doi-asserted-by":"crossref","unstructured":"Barath, D., Kukelova, Z.: Homography from two orientation-and scale-covariant features. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 1091\u20131099 (2019)","DOI":"10.1109\/ICCV.2019.00118"},{"key":"27_CR11","doi-asserted-by":"crossref","unstructured":"Barath, D., Molnar, J., Hajder, L.: Optimal surface normal from affine transformation. In: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SciTePress (2015)","DOI":"10.1007\/978-3-319-29971-6_17"},{"key":"27_CR12","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"},{"key":"27_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"404","DOI":"10.1007\/11744023_32","volume-title":"Computer Vision \u2013 ECCV 2006","author":"H Bay","year":"2006","unstructured":"Bay, H., Tuytelaars, T., Van Gool, L.: SURF: speeded up robust features. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3951, pp. 404\u2013417. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11744023_32"},{"key":"27_CR14","doi-asserted-by":"crossref","unstructured":"Bentolila, J., Francos, J.M.: Conic epipolar constraints from affine correspondences. In: Computer Vision and Image Understanding (2014)","DOI":"10.1016\/j.cviu.2014.02.004"},{"key":"27_CR15","doi-asserted-by":"crossref","unstructured":"Geiger, A., Lenz, P., Urtasun, R.: Are we ready for autonomous driving? the KITTI vision benchmark suite. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2012)","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"27_CR16","doi-asserted-by":"crossref","unstructured":"Guan, B., Zhao, J., Barath, D., Fraundorfer, F.: Relative pose estimation for multi-camera systems from affine correspondences. In: International Conference on Computer Vision. IEEE (2021)","DOI":"10.1007\/s11263-022-01690-w"},{"key":"27_CR17","doi-asserted-by":"publisher","first-page":"2303","DOI":"10.1109\/TPAMI.2012.43","volume":"34","author":"R Hartley","year":"2012","unstructured":"Hartley, R., Li, H.: An efficient hidden variable approach to minimal-case camera motion estimation. Pattern Anal. Mach. Intell. 34, 2303\u20132314 (2012)","journal-title":"Pattern Anal. Mach. Intell."},{"key":"27_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)"},{"key":"27_CR19","unstructured":"K\u00f6ser, K.: Geometric Estimation with Local Affine Frames and Free-form Surfaces. Shaker (2009)"},{"key":"27_CR20","doi-asserted-by":"crossref","unstructured":"Kukelova, Z., Kileel, J., Sturmfels, B., Pajdla, T.: A clever elimination strategy for efficient minimal solvers. In: Conference on Computer Vision and Pattern Recognition (2017). http:\/\/arxiv.org\/abs\/1703.05289","DOI":"10.1109\/CVPR.2017.384"},{"key":"27_CR21","unstructured":"Li, H., Hartley, R.: Five-point motion estimation made easy. In: International Conference on Pattern Recognition (2006)"},{"key":"27_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1007\/11744085_16","volume-title":"Computer Vision \u2013 ECCV 2006","author":"H Li","year":"2006","unstructured":"Li, H.: A simple solution to the six-point two-view focal-length problem. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3954, pp. 200\u2013213. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11744085_16"},{"key":"27_CR23","doi-asserted-by":"crossref","unstructured":"Lowe, D.G.: Object recognition from local scale-invariant features. In: International Conference on Computer Vision (1999)","DOI":"10.1109\/ICCV.1999.790410"},{"issue":"1\u20132","key":"27_CR24","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1007\/s11263-005-3848-x","volume":"65","author":"K Mikolajczyk","year":"2005","unstructured":"Mikolajczyk, K., et al.: A comparison of affine region detectors. Int. J. Comput. Vision 65(1\u20132), 43\u201372 (2005)","journal-title":"Int. J. Comput. Vision"},{"key":"27_CR25","doi-asserted-by":"crossref","unstructured":"Mills, S.: Four-and seven-point relative camera pose from oriented features. In: International Conference on 3D Vision, pp. 218\u2013227. IEEE (2018)","DOI":"10.1109\/3DV.2018.00034"},{"key":"27_CR26","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.cviu.2015.08.005","volume":"141","author":"D Mishkin","year":"2015","unstructured":"Mishkin, D., Matas, J., Perdoch, M.: MODS: fast and robust method for two-view matching. Comput. Vis. Image Underst. 141, 81\u201393 (2015)","journal-title":"Comput. Vis. Image Underst."},{"key":"27_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1007\/978-3-030-01240-3_18","volume-title":"Computer Vision \u2013 ECCV 2018","author":"D Mishkin","year":"2018","unstructured":"Mishkin, D., Radenovi\u0107, F., Matas, J.: Repeatability is not enough: learning affine regions via discriminability. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) ECCV 2018. LNCS, vol. 11213, pp. 287\u2013304. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-01240-3_18"},{"key":"27_CR28","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1007\/s10851-012-0407-2","volume":"48","author":"J Moln\u00e1r","year":"2014","unstructured":"Moln\u00e1r, J., Chetverikov, D.: Quadratic transformation for planar mapping of implicit surfaces. J. Math. Imaging Vision 48, 176\u2013184 (2014)","journal-title":"J. Math. Imaging Vision"},{"issue":"2","key":"27_CR29","doi-asserted-by":"publisher","first-page":"438","DOI":"10.1137\/080732730","volume":"2","author":"JM Morel","year":"2009","unstructured":"Morel, J.M., Yu, G.: ASIFT: a new framework for fully affine invariant image comparison. SIAM J. Imag. Sci. 2(2), 438\u2013469 (2009)","journal-title":"SIAM J. Imag. Sci."},{"key":"27_CR30","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. Pattern Anal. Mach. Intell. 26, 756\u2013770 (2004)","journal-title":"Pattern Anal. Mach. Intell."},{"key":"27_CR31","doi-asserted-by":"crossref","unstructured":"Perdoch, M., Matas, J., Chum, O.: Epipolar geometry from two correspondences. In: International Conference on Pattern Recognition (2006)","DOI":"10.1109\/ICPR.2006.497"},{"key":"27_CR32","doi-asserted-by":"crossref","unstructured":"Pritts, J., Kukelova, Z., Larsson, V., Chum, O.: Radially-distorted conjugate translations. In: Conference on Computer Vision and Pattern Recognition (2018)","DOI":"10.1109\/CVPR.2018.00213"},{"key":"27_CR33","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1007\/978-3-030-20873-8_3","volume-title":"Computer Vision \u2013 ACCV 2018","author":"J Pritts","year":"2019","unstructured":"Pritts, J., Kukelova, Z., Larsson, V., Chum, O.: Rectification from radially-distorted scales. In: Jawahar, C.V., Li, H., Mori, G., Schindler, K. (eds.) ACCV 2018. LNCS, vol. 11365, pp. 36\u201352. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-20873-8_3"},{"key":"27_CR34","doi-asserted-by":"crossref","unstructured":"Raposo, C., Barreto, J.P.: Theory and practice of structure-from-motion using affine correspondences. In: Computer Vision and Pattern Recognition (2016)","DOI":"10.1109\/CVPR.2016.590"},{"key":"27_CR35","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"380","DOI":"10.1007\/978-3-319-46484-8_23","volume-title":"Computer Vision \u2013 ECCV 2016","author":"C Raposo","year":"2016","unstructured":"Raposo, C., Barreto, J.P.: $$\\pi $$ match: monocular vSLAM and piecewise planar reconstruction using fast plane correspondences. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9912, pp. 380\u2013395. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46484-8_23"},{"key":"27_CR36","doi-asserted-by":"crossref","unstructured":"Riggi, F., Toews, M., Arbel, T.: Fundamental matrix estimation via tip-transfer of invariant parameters. In: International Conference on Pattern Recognition, vol. 2, pp. 21\u201324. IEEE (2006)","DOI":"10.1109\/ICPR.2006.588"},{"issue":"7","key":"27_CR37","doi-asserted-by":"publisher","first-page":"871","DOI":"10.1016\/j.imavis.2007.10.003","volume":"26","author":"H Stew\u00e9nius","year":"2008","unstructured":"Stew\u00e9nius, H., Nist\u00e9r, D., Kahl, F., Schaffalitzky, F.: A minimal solution for relative pose with unknown focal length. Image Vis. Comput. 26(7), 871\u2013877 (2008)","journal-title":"Image Vis. Comput."},{"key":"27_CR38","doi-asserted-by":"crossref","unstructured":"Sweeney, C., Hollerer, T., Turk, M.: Theia: a fast and scalable structure-from-motion library. In: Proceedings of the 23rd ACM International Conference on Multimedia, pp. 693\u2013696 (2015)","DOI":"10.1145\/2733373.2807405"},{"key":"27_CR39","unstructured":"Trulls, E., Jun, Y., Yi, K., Mishkin, D., Matas, J., Fua, P.: Image matching challenge. In: CVPR (2020). http:\/\/cmp.felk.cvut.cz\/cvpr2020-ransac-tutorial\/"},{"key":"27_CR40","unstructured":"Turkowski, K.: Transformations of surface normal vectors. In: Technical report 22, Apple Computer (1990)"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2022"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-19824-3_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T22:56:13Z","timestamp":1728341773000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-19824-3_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031198236","9783031198243"],"references-count":40,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-19824-3_27","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"11 November 2022","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":"Tel Aviv","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Israel","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":"23 October 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 October 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2022.ecva.net\/","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":"5804","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":"1645","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":"28% - 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":"3.21","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":"3.91","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)"}}]}}