{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T18:10:01Z","timestamp":1742926201273,"version":"3.40.3"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030661243"},{"type":"electronic","value":"9783030661250"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-66125-0_4","type":"book-chapter","created":{"date-parts":[[2020,12,22]],"date-time":"2020-12-22T05:15:17Z","timestamp":1608614117000},"page":"46-63","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Efficient Radial Distortion Correction for\u00a0Planar Motion"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8687-227X","authenticated-orcid":false,"given":"Marcus","family":"Valtonen \u00d6rnhag","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,12,23]]},"reference":[{"key":"4_CR1","doi-asserted-by":"crossref","unstructured":"Bhayani, S., Kukelova, Z., Heikkila, J.: A sparse resultant based method for efficient minimal solvers. In: Computer Vision and Pattern Recognition (CVPR), June 2020","DOI":"10.1109\/CVPR42600.2020.00184"},{"key":"4_CR2","first-page":"444","volume":"32","author":"DC Brown","year":"1966","unstructured":"Brown, D.C.: Decentering distortion of lenses. Photogram. Eng. 32, 444\u2013462 (1966)","journal-title":"Photogram. Eng."},{"issue":"3","key":"4_CR3","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1007\/s00138-006-0031-5","volume":"17","author":"T Chen","year":"2006","unstructured":"Chen, T., Liu, Y.H.: A robust approach for structure from planar motion by stereo image sequences. Mach. Vis. Appl. (MVA) 17(3), 197\u2013209 (2006)","journal-title":"Mach. Vis. Appl. (MVA)"},{"key":"4_CR4","volume-title":"Using Algebraic Geometry. Graduate Texts in Mathematics","author":"DA Cox","year":"2005","unstructured":"Cox, D.A., Little, J., O\u2019Shea, D.: Using Algebraic Geometry. Graduate Texts in Mathematics. Springer, New York (2005)"},{"key":"4_CR5","unstructured":"Fitzgibbon, A.W.: Simultaneous linear estimation of multiple view geometry and lens distortion. In: Conference on Computer Vision and Pattern Recognition (CVPR), December 2001"},{"key":"4_CR6","doi-asserted-by":"crossref","unstructured":"Hajjdiab, H., Lagani\u00e8re, R.: Vision-based multi-robot simultaneous localization and mapping. In: Canadian Conference on Computer and Robot Vision (CRV), London, ON, Canada, pp. 155\u2013162, May 2004","DOI":"10.1109\/CCCRV.2004.1301439"},{"key":"4_CR7","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511811685","volume-title":"Multiple View Geometry in Computer Vision","author":"RI Hartley","year":"2004","unstructured":"Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press, Cambridge (2004)","edition":"2"},{"issue":"1","key":"4_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2008\/145715","volume":"2008","author":"G Kayumbi","year":"2008","unstructured":"Kayumbi, G., Cavallaro, A.: Multiview trajectory mapping using homography with lens distortion correction. EURASIP J. Image Video Process. 2008(1), 1\u201311 (2008). https:\/\/doi.org\/10.1155\/2008\/145715","journal-title":"EURASIP J. Image Video Process."},{"key":"4_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1007\/978-3-540-88690-7_23","volume-title":"Computer Vision \u2013 ECCV 2008","author":"Z Kukelova","year":"2008","unstructured":"Kukelova, Z., Bujnak, M., Pajdla, T.: Automatic generator of minimal problem solvers. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008. LNCS, vol. 5304, pp. 302\u2013315. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-88690-7_23"},{"key":"4_CR10","doi-asserted-by":"crossref","unstructured":"Kukelova, Z., Bujnak, M., Pajdla, T.: Polynomial eigenvalue solutions to the 5-pt and 6-pt relative pose problems. In: British Machine Vision Conference (BMVC) (2008)","DOI":"10.5244\/C.22.56"},{"key":"4_CR11","doi-asserted-by":"crossref","unstructured":"Kukelova, Z., Heller, J., Bujnak, M., Pajdla, T.: Radial distortion homography. In: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 639\u2013647, June 2015","DOI":"10.1109\/CVPR.2015.7298663"},{"key":"4_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1007\/978-3-319-46487-9_16","volume-title":"Computer Vision \u2013 ECCV 2016","author":"V Larsson","year":"2016","unstructured":"Larsson, V., \u00c5str\u00f6m, K.: Uncovering symmetries in polynomial systems. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9907, pp. 252\u2013267. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46487-9_16"},{"key":"4_CR13","doi-asserted-by":"crossref","unstructured":"Larsson, V., \u00c5str\u00f6m, K., Oskarsson, M.: Efficient solvers for minimal problems by syzygy-based reduction. In: Computer Vision and Pattern Recognition (CVPR), pp. 2383\u20132392, July 2017","DOI":"10.1109\/CVPR.2017.256"},{"key":"4_CR14","doi-asserted-by":"crossref","unstructured":"Larsson, V., \u00c5str\u00f6m, K., Oskarsson, M.: Polynomial solvers for saturated ideals. In: International Conference on Computer Vision (ICCV), pp. 2307\u20132316, October 2017","DOI":"10.1109\/ICCV.2017.251"},{"key":"4_CR15","doi-asserted-by":"crossref","unstructured":"Larsson, V., Kukelova, Z., Zheng, Y.: Camera pose estimation with unknown principal point. In: Computer Vision and Pattern Recognition (CVPR), pp. 2984\u20132992 (2018)","DOI":"10.1109\/CVPR.2018.00315"},{"key":"4_CR16","doi-asserted-by":"crossref","unstructured":"Larsson, V., Oskarsson, M., \u00c5str\u00f6m, K., Wallis, A., Kukelova, Z., Pajdla, T.: Beyond gr\u00f6bner bases: Basis selection for minimal solvers. In: Computer Vision and Pattern Recognition (CVPR), pp. 3945\u20133954 (2018)","DOI":"10.1109\/CVPR.2018.00415"},{"key":"4_CR17","unstructured":"Liang, B., Pears, N.: Visual navigation using planar homographies. In: International Conference on Robotics and Automation (ICRA), Washington, DC, USA, pp. 205\u2013210, May 2002"},{"key":"4_CR18","doi-asserted-by":"crossref","unstructured":"Meuel, H., Ferenz, S., Munderloh, M., Ackermann, H., Ostermann, J.: In-loop radial distortion compensation for long-term mosaicking of aerial videos. In: Proceedings of the 23rd IEEE International Conference on Image Processing (ICIP), pp. 2961\u20132965, September 2016","DOI":"10.1109\/ICIP.2016.7532902"},{"key":"4_CR19","doi-asserted-by":"crossref","unstructured":"Meuel, H., Munderloh, M., Reso, M., Ostermann, J.: Mesh-based piecewise planar motion compensation and optical flow clustering for ROI coding. APSIPA Trans. Sign. Inf. Process. 4, e13 (2015)","DOI":"10.1017\/ATSIP.2015.12"},{"issue":"3","key":"4_CR20","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1017\/S0263574700003143","volume":"19","author":"D Ort\u00edn","year":"2001","unstructured":"Ort\u00edn, D., Montiel, J.M.M.: Indoor robot motion based on monocular images. Robotica 19(3), 331\u2013342 (2001)","journal-title":"Robotica"},{"key":"4_CR21","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 (CVPR) (2018)","DOI":"10.1109\/CVPR.2018.00213"},{"key":"4_CR22","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":"4_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1007\/978-3-030-40014-9_6","volume-title":"Pattern Recognition Applications and Methods","author":"M Valtonen \u00d6rnhag","year":"2020","unstructured":"Valtonen \u00d6rnhag, M., Wadenb\u00e4ck, M.: Enforcing the general planar motion model: bundle adjustment for planar scenes. In: De Marsico, M., Sanniti di Baja, G., Fred, A. (eds.) ICPRAM 2019. LNCS, vol. 11996, pp. 119\u2013135. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-40014-9_6"},{"key":"4_CR24","doi-asserted-by":"crossref","unstructured":"Valtonen \u00d6rnhag, M.: Fast non-minimal solvers for planar motion compatible homographies. In: International Conference on Pattern Recognition Applications and Methods (ICPRAM), Prague, Czech Republic, pp. 40\u201351, February 2019","DOI":"10.5220\/0007258600400051"},{"key":"4_CR25","doi-asserted-by":"crossref","unstructured":"Valtonen \u00d6rnhag, M.: Radially distorted planar motion compatible homographies. In: International Conference on Pattern Recognition Applications and Methods (ICPRAM), pp. 280\u2013288 (2020)","DOI":"10.5220\/0008893802800288"},{"key":"4_CR26","doi-asserted-by":"crossref","unstructured":"Wadenb\u00e4ck, M., Heyden, A.: Planar motion and hand-eye calibration using inter-image homographies from a planar scene. In: International Conference on Computer Vision Theory and Applications (VISAPP), pp. 164\u2013168 (2013)","DOI":"10.5220\/0004293701640168"},{"key":"4_CR27","doi-asserted-by":"crossref","unstructured":"Wadenb\u00e4ck, M., Heyden, A.: Ego-motion recovery and robust tilt estimation for planar motion using several homographies. In: International Conference on Computer Vision Theory and Applications (VISAPP), pp. 635\u2013639, January 2014","DOI":"10.5220\/0004744706350639"},{"key":"4_CR28","doi-asserted-by":"crossref","unstructured":"Wadenb\u00e4ck, M., Karlsson, M., Heyden, A., Robertsson, A., Johansson, R.: Visual odometry from two point correspondences and initial automatic tilt calibration. In: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017), pp. 340\u2013346 (2017)","DOI":"10.5220\/0006079903400346"},{"key":"4_CR29","doi-asserted-by":"crossref","unstructured":"Wadenb\u00e4ck, M., \u00c5str\u00f6m, K., Heyden, A.: Recovering planar motion from homographies obtained using a 2.5-point solver for a polynomial system. In: International Conference on Image Processing (ICIP), pp. 2966\u20132970 (2016)","DOI":"10.1109\/ICIP.2016.7532903"},{"issue":"5","key":"4_CR30","doi-asserted-by":"publisher","first-page":"803","DOI":"10.1002\/rob.21547","volume":"32","author":"J Zienkiewicz","year":"2015","unstructured":"Zienkiewicz, J., Davison, A.J.: Extrinsics autocalibration for dense planar visual odometry. J. Field Robot. (JFR) 32(5), 803\u2013825 (2015)","journal-title":"J. Field Robot. (JFR)"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition Applications and Methods"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-66125-0_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,22]],"date-time":"2024-12-22T00:02:27Z","timestamp":1734825747000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-66125-0_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030661243","9783030661250"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-66125-0_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"23 December 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPRAM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition Applications and Methods","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Valletta","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Malta","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 February 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 February 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpram2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icpram.org\/?y=2020","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":"Primoris","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"102","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":"7","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":"7% - 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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}