{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T07:52:43Z","timestamp":1771573963495,"version":"3.50.1"},"publisher-location":"Cham","reference-count":66,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030585730","type":"print"},{"value":"9783030585747","type":"electronic"}],"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\/978-3-030-58574-7_11","type":"book-chapter","created":{"date-parts":[[2020,11,12]],"date-time":"2020-11-12T16:19:07Z","timestamp":1605197947000},"page":"175-192","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["PL$$_1$$P - Point-Line Minimal Problems Under Partial Visibility in Three Views"],"prefix":"10.1007","author":[{"given":"Timothy","family":"Duff","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kathl\u00e9n","family":"Kohn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anton","family":"Leykin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomas","family":"Pajdla","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,11,13]]},"reference":[{"issue":"3","key":"11_CR1","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1007\/s11263-016-0949-7","volume":"121","author":"S Agarwal","year":"2017","unstructured":"Agarwal, S., Lee, H., Sturmfels, B., Thomas, R.R.: On the existence of epipolar matrices. Int. J. Comput. Vis. 121(3), 403\u2013415 (2017). https:\/\/doi.org\/10.1007\/s11263-016-0949-7","journal-title":"Int. J. Comput. Vis."},{"issue":"289","key":"11_CR2","doi-asserted-by":"publisher","first-page":"2553","DOI":"10.1090\/S0025-5718-2014-02842-1","volume":"83","author":"C Aholt","year":"2014","unstructured":"Aholt, C., Oeding, L.: The ideal of the trifocal variety. Math. Comput. 83(289), 2553\u20132574 (2014)","journal-title":"Math. Comput."},{"issue":"5","key":"11_CR3","doi-asserted-by":"publisher","first-page":"961","DOI":"10.4153\/CJM-2012-023-2","volume":"65","author":"C Aholt","year":"2013","unstructured":"Aholt, C., Sturmfels, B., Thomas, R.: A hilbert scheme in computer vision. Can. J. Math 65(5), 961\u2013988 (2013)","journal-title":"Can. J. Math"},{"key":"11_CR4","unstructured":"Fabri, R., et al.: Trifocal relative pose from lines at points and its efficient solution. Preprint arXiv:1903.09755 (2019)"},{"key":"11_CR5","unstructured":"Alismail, H.S., Browning, B., Dias, M.B.: Evaluating pose estimation methods for stereo visual odometry on robots. In: the 11th International Conference on Intelligent Autonomous Systems (IAS-11) (2011)"},{"key":"11_CR6","doi-asserted-by":"crossref","unstructured":"Barath, D.: Five-point fundamental matrix estimation for uncalibrated cameras. In: 2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, pp. 235\u2013243 Salt Lake City, UT, USA, June 18\u201322 (2018)","DOI":"10.1109\/CVPR.2018.00032"},{"issue":"11","key":"11_CR7","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":"11_CR8","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: 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, pp. 2557\u20132565. Honolulu, HI, USA, July 21\u201326 (2017)","DOI":"10.1109\/CVPR.2017.274"},{"key":"11_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1007\/978-3-540-88693-8_10","volume-title":"Computer Vision \u2013 ECCV 2008","author":"M Byr\u00f6d","year":"2008","unstructured":"Byr\u00f6d, M., Josephson, K., \u00c5str\u00f6m, K.: A column-pivoting based strategy for monomial ordering in numerical gr\u00f6bner basis calculations. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008. LNCS, vol. 5305, pp. 130\u2013143. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-88693-8_10"},{"key":"11_CR10","doi-asserted-by":"crossref","unstructured":"Camposeco, F., Sattler, T., Pollefeys, M.: Minimal solvers for generalized pose and scale estimation from two rays and one point. In: ECCV - European Conference on Computer Vision. pp. 202\u2013218 (2016)","DOI":"10.1007\/978-3-319-46454-1_13"},{"key":"11_CR11","doi-asserted-by":"crossref","unstructured":"Chen, H.H.: Pose determination from line-to-plane correspondences: existence condition and closed-form solutions. In: ICCV. pp. 374\u2013378 (1990)","DOI":"10.1109\/ICCV.1990.139554"},{"issue":"12","key":"11_CR12","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., Rives, G.: Determination of the attitude of 3d objects from a single perspective view. IEEE Trans. Pattern Anal. Mach. Intell. 11(12), 1265\u20131278 (1989)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"11_CR13","doi-asserted-by":"publisher","first-page":"1421","DOI":"10.1093\/imanum\/dry017","volume":"39","author":"T Duff","year":"2019","unstructured":"Duff, T., Hill, C., Jensen, A., Lee, K., Leykin, A., Sommars, J.: Solving polynomial systems via homotopy continuation and monodromy. IMA J. Numer. Anal. 39(3), 1421\u20131446 (2019)","journal-title":"IMA J. Numer. Anal."},{"key":"11_CR14","doi-asserted-by":"crossref","unstructured":"Duff, T., Kohn, K., Leykin, A., Pajdla, T.: PLMP - Point-line minimal problems in complete multi-view visibility. In: International Conference on Computer Vision (ICCV) (2019)","DOI":"10.1109\/ICCV.2019.00176"},{"key":"11_CR15","doi-asserted-by":"crossref","unstructured":"Elqursh, A., Elgammal, A.M.: Line-based relative pose estimation. In: CVPR (2011)","DOI":"10.1109\/CVPR.2011.5995512"},{"key":"11_CR16","doi-asserted-by":"crossref","unstructured":"Fabbri, R., Giblin, P., Kimia, B.: Camera pose estimation using first-order curve differential geometry. IEEE Trans. Pattern Anal. Mach. Intell. (2020)","DOI":"10.1109\/TPAMI.2020.2985310"},{"key":"11_CR17","doi-asserted-by":"crossref","unstructured":"Fabbri, R., Giblin, P.J., Kimia, B.B.: Camera pose estimation using first-order curve differential geometry. In: Proceedings of the European Conference in Computer Vision (2012)","DOI":"10.1007\/978-3-642-33765-9_17"},{"issue":"3","key":"11_CR18","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1007\/s11263-016-0912-7","volume":"120","author":"R Fabbri","year":"2016","unstructured":"Fabbri, R., Kimia, B.B.: Multiview differential geometry of curves. Int. J. Comput. Vision 120(3), 324\u2013346 (2016)","journal-title":"Int. J. Comput. Vision"},{"issue":"6","key":"11_CR19","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":"11_CR20","unstructured":"Grayson, D.R., Stillman, M.E.: Macaulay2, a software system for research in algebraic geometry. http:\/\/www.math.uiuc.edu\/Macaulay2\/ (2002)"},{"issue":"12","key":"11_CR21","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. IEEE PAMI 34(12), 2303\u20132314 (2012)","journal-title":"IEEE PAMI"},{"key":"11_CR22","doi-asserted-by":"crossref","unstructured":"Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge, 2nd edn. (2003)","DOI":"10.1017\/CBO9780511811685"},{"issue":"2","key":"11_CR23","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1023\/A:1007936012022","volume":"22","author":"RI Hartley","year":"1997","unstructured":"Hartley, R.I.: Lines and points in three views and the trifocal tensor. Int. J. Comput. Vis. 22(2), 125\u2013140 (1997)","journal-title":"Int. J. Comput. Vis."},{"key":"11_CR24","unstructured":"Johansson, B., Oskarsson, M., \u00c5str\u00f6m, K.: Structure and motion estimation from complex features in three views. In: ICVGIP 2002, Proceedings of the Third Indian Conference on Computer Vision, Graphics & Image Processing, Ahmadabad, India, December 16\u201318, 2002 (2002)"},{"issue":"4","key":"11_CR25","doi-asserted-by":"publisher","first-page":"775","DOI":"10.1142\/S021819671650034X","volume":"26","author":"M Joswig","year":"2016","unstructured":"Joswig, M., Kileel, J., Sturmfels, B., Wagner, A.: Rigid multiview varieties. IJAC 26(4), 775\u2013788 (2016). https:\/\/doi.org\/10.1142\/S021819671650034X","journal-title":"IJAC"},{"issue":"4","key":"11_CR26","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1109\/34.917578","volume":"23","author":"F Kahl","year":"2001","unstructured":"Kahl, F., Heyden, A., Quan, L.: Minimal projective reconstruction including missing data. IEEE Trans. Pattern Anal. Mach. Intell. 23(4), 418\u2013424 (2001). https:\/\/doi.org\/10.1109\/34.917578","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"11_CR27","doi-asserted-by":"publisher","first-page":"575","DOI":"10.1137\/16M1104482","volume":"1","author":"J Kileel","year":"2017","unstructured":"Kileel, J.: Minimal problems for the calibrated trifocal variety. SIAM J. Appl. Algebra and Geometry 1(1), 575\u2013598 (2017)","journal-title":"SIAM J. Appl. Algebra and Geometry"},{"key":"11_CR28","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: CVPR - IEEE Conference on Computer Vision and Pattern Recognition. pp. 2969\u20132976 (2011)","DOI":"10.1109\/CVPR.2011.5995464"},{"key":"11_CR29","doi-asserted-by":"crossref","unstructured":"Kneip, L., Siegwart, R., Pollefeys, M.: Finding the exact rotation between two images independently of the translation. In: ECCV - European Conference on Computer Vision. pp. 696\u2013709 (2012)","DOI":"10.1007\/978-3-642-33783-3_50"},{"key":"11_CR30","doi-asserted-by":"crossref","unstructured":"Kuang, Y., \u00c5str\u00f6m, K.: Pose estimation with unknown focal length using points, directions and lines. In: IEEE International Conference on Computer Vision, pp. 529\u2013536, ICCV 2013, Sydney, Australia, December 1\u20138 (2013)","DOI":"10.1109\/ICCV.2013.71"},{"key":"11_CR31","unstructured":"Kuang, Y., \u00c5str\u00f6m, K.: Stratified sensor network self-calibration from tdoa measurements. In: 21st European Signal Processing Conference (2013)"},{"key":"11_CR32","doi-asserted-by":"crossref","unstructured":"Kukelova, Z., Bujnak, M., Pajdla, T.: Automatic generator of minimal problem solvers. In: European Conference on Computer Vision (ECCV) (2008)","DOI":"10.1007\/978-3-540-88690-7_23"},{"key":"11_CR33","doi-asserted-by":"crossref","unstructured":"Kukelova, Z., Kileel, J., Sturmfels, B., Pajdla, T.: A clever elimination strategy for efficient minimal solvers. In: Computer Vision and Pattern Recognition (CVPR). IEEE (2017)","DOI":"10.1109\/CVPR.2017.384"},{"key":"11_CR34","unstructured":"Larsson, V., et al.: Automatic generator of minimal problems. http:\/\/www2.maths.lth.se\/matematiklth\/personal\/viktorl\/code\/basis_selection.zip (2015)"},{"key":"11_CR35","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) (2017)","DOI":"10.1109\/CVPR.2017.256"},{"key":"11_CR36","doi-asserted-by":"crossref","unstructured":"Larsson, V., \u00c5str\u00f6m, K., Oskarsson, M.: Efficient solvers for minimal problems by syzygy-based reduction. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition, pp. 2383\u20132392 ,CVPR 2017, Honolulu, HI, USA, July 21\u201326 (2017)","DOI":"10.1109\/CVPR.2017.256"},{"key":"11_CR37","doi-asserted-by":"crossref","unstructured":"Larsson, V., \u00c5str\u00f6m, K., Oskarsson, M.: Polynomial solvers for saturated ideals. In: IEEE International Conference on Computer Vision, pp. 2307\u20132316, CCV 2017, Venice, Italy, October 22\u201329 (2017)","DOI":"10.1109\/ICCV.2017.251"},{"key":"11_CR38","doi-asserted-by":"crossref","unstructured":"Larsson, V., Kukelova, Z., Zheng, Y.: Making minimal solvers for absolute pose estimation compact and robust. In: International Conference on Computer Vision (ICCV) (2017)","DOI":"10.1109\/ICCV.2017.254"},{"key":"11_CR39","doi-asserted-by":"crossref","unstructured":"Larsson, V., Oskarsson, M., \u00c5str\u00f6m, K., Wallis, A., Kukelova, Z., Pajdla, T.: Beyond grobner bases: Basis selection for minimal solvers. In: 2018 IEEE Conference on Computer Vision and Pattern Recognition, pp. 3945\u20133954, CVPR 2018, Salt Lake City, UT, USA, June 18\u201322 (2018), http:\/\/openaccess.thecvf.com\/content_cvpr_2018\/html\/Larsson_Beyond_Grobner_Bases_CVPR_2018_paper.html","DOI":"10.1109\/CVPR.2018.00415"},{"issue":"2","key":"11_CR40","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."},{"issue":"2","key":"11_CR41","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1023\/B:VISI.0000022286.53224.3d","volume":"59","author":"Y Ma","year":"2004","unstructured":"Ma, Y., Huang, K., Vidal, R., Kosecka, J., Sastry, S.: Rank conditions on the multiple-view matrix. Int. J. Comput. Vis. 59(2), 115\u2013137 (2004)","journal-title":"Int. J. Comput. Vis."},{"key":"11_CR42","doi-asserted-by":"crossref","unstructured":"Matas, J., Obdrz\u00e1lek, S., Chum, O.: Local affine frames for wide-baseline stereo. In: 16th International Conference on Pattern Recognition, pp. 363\u2013366, ICPR 2002, Quebec, Canada, Aug. 11\u201315 (2002)","DOI":"10.1109\/ICPR.2002.1047471"},{"issue":"3","key":"11_CR43","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1109\/TCYB.2014.2326970","volume":"45","author":"P Miraldo","year":"2015","unstructured":"Miraldo, P., Araujo, H.: Direct solution to the minimal generalized pose. IEEE Trans. Cybernet. 45(3), 418\u2013429 (2015)","journal-title":"IEEE Trans. Cybernet."},{"key":"11_CR44","doi-asserted-by":"crossref","unstructured":"Miraldo, P., Dias, T., Ramalingam, S.: A minimal closed-form solution for multi-perspective pose estimation using points and lines. In: Computer Vision - ECCV 2018\u201315th European Conference, pp. 490\u2013507, Munich, Germany, September 8\u201314, Proceedings, Part XVI (2018)","DOI":"10.1007\/978-3-030-01270-0_29"},{"key":"11_CR45","doi-asserted-by":"crossref","unstructured":"Mirzaei, F.M., Roumeliotis, S.I.: Optimal estimation of vanishing points in a manhattan world. In: International Conference on Computer Vision (ICCV) (2011)","DOI":"10.1109\/ICCV.2011.6126530"},{"issue":"6","key":"11_CR46","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. Intel. 26(6), 756\u2013770 (2004)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intel."},{"key":"11_CR47","doi-asserted-by":"crossref","unstructured":"Nist\u00e9r, D., Naroditsky, O., Bergen, J.: Visual odometry. In: Computer Vision and Pattern Recognition (CVPR). pp. 652\u2013659 (2004)","DOI":"10.1109\/CVPR.2004.1315094"},{"issue":"2","key":"11_CR48","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-005-4265-x","volume":"67","author":"D Nist\u00e9r","year":"2006","unstructured":"Nist\u00e9r, D., Schaffalitzky, F.: Four points in two or three calibrated views: theory and practice. Int. J. Comput. Vis. 67(2), 211\u2013231 (2006)","journal-title":"Int. J. Comput. Vis."},{"key":"11_CR49","doi-asserted-by":"publisher","unstructured":"Oskarsson, M., \u00c5str\u00f6m, K., Overgaard, N.C.: Classifying and solving minimal structure and motion problems with missing data. In: International Conference on Computer Vision (ICCV). pp. 628\u2013634. IEEE Computer Society (2001). https:\/\/doi.org\/10.1109\/ICCV.2001.10072","DOI":"10.1109\/ICCV.2001.10072"},{"issue":"10","key":"11_CR50","doi-asserted-by":"publisher","first-page":"777","DOI":"10.1016\/j.imavis.2004.02.004","volume":"22","author":"M Oskarsson","year":"2004","unstructured":"Oskarsson, M., Zisserman, A., \u00c5str\u00f6m, K.: Minimal projective reconstruction for combinations of points and lines in three views. Image Vis. Comput. 22(10), 777\u2013785 (2004)","journal-title":"Image Vis. Comput."},{"issue":"8","key":"11_CR51","doi-asserted-by":"publisher","first-page":"2022","DOI":"10.1109\/TPAMI.2012.257","volume":"35","author":"R Raguram","year":"2013","unstructured":"Raguram, R., Chum, O., Pollefeys, M., Matas, J., Frahm, J.: USAC: A universal framework for random sample consensus. IEEE Trans. Pattern Anal. Mach. Intell. 35(8), 2022\u20132038 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"11_CR52","doi-asserted-by":"crossref","unstructured":"Ramalingam, S., Bouaziz, S., Sturm, P.: Pose estimation using both points and lines for geo-localization. In: ICRA. pp. 4716\u20134723 (2011)","DOI":"10.1109\/ICRA.2011.5979781"},{"key":"11_CR53","doi-asserted-by":"crossref","unstructured":"Ramalingam, S., Sturm, P.F.: Minimal solutions for generic imaging models. In: CVPR - IEEE Conference on Computer Vision and Pattern Recognition (2008)","DOI":"10.1109\/CVPR.2008.4587710"},{"key":"11_CR54","unstructured":"Rocco, I., Cimpoi, M., Arandjelovic, R., Torii, A., Pajdla, T., Sivic, J.: Neighbourhood consensus networks (2018)"},{"key":"11_CR55","doi-asserted-by":"crossref","unstructured":"Sala\u00fcn, Y., Marlet, R., Monasse, P.: Robust and accurate line- and\/or point-based pose estimation without manhattan assumptions. In: European Conference on Computer Vision (ECCV) (2016)","DOI":"10.1007\/978-3-319-46478-7_49"},{"issue":"9","key":"11_CR56","doi-asserted-by":"publisher","first-page":"1744","DOI":"10.1109\/TPAMI.2016.2611662","volume":"39","author":"T Sattler","year":"2017","unstructured":"Sattler, T., Leibe, B., Kobbelt, L.: Efficient & effective prioritized matching for large-scale image-based localization. IEEE Trans. Pattern Anal. Mach. Intell. 39(9), 1744\u20131756 (2017)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"11_CR57","doi-asserted-by":"crossref","unstructured":"Saurer, O., Pollefeys, M., Lee, G.H.: A minimal solution to the rolling shutter pose estimation problem. In: Intelligent Robots and Systems (IROS), 2015 IEEE\/RSJ International Conference on. pp. 1328\u20131334. IEEE (2015)","DOI":"10.1109\/IROS.2015.7353540"},{"key":"11_CR58","doi-asserted-by":"crossref","unstructured":"Sch\u00f6nberger, J.L., Frahm, J.M.: Structure-from-motion revisited. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2016)","DOI":"10.1109\/CVPR.2016.445"},{"key":"11_CR59","doi-asserted-by":"crossref","unstructured":"Snavely, N., Seitz, S.M., Szeliski, R.: Photo tourism: exploring photo collections in 3D. In: ACM SIGGRAPH (2006)","DOI":"10.1145\/1141911.1141964"},{"issue":"2","key":"11_CR60","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1007\/s11263-007-0107-3","volume":"80","author":"N Snavely","year":"2008","unstructured":"Snavely, N., Seitz, S.M., Szeliski, R.: Modeling the world from internet photo collections. Int. J. Comput. Vis. (IJCV) 80(2), 189\u2013210 (2008)","journal-title":"Int. J. Comput. Vis. (IJCV)"},{"key":"11_CR61","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1016\/j.isprsjprs.2006.03.005","volume":"60","author":"H Stewenius","year":"2006","unstructured":"Stewenius, H., Engels, C., Nist\u00e9r, D.: Recent developments on direct relative orientation. ISPRS J. Photogrammetry Remote Sens. 60, 284\u2013294 (2006)","journal-title":"ISPRS J. Photogrammetry Remote Sens."},{"key":"11_CR62","doi-asserted-by":"crossref","unstructured":"Taira, H., et al.: InLoc: Indoor visual localization with dense matching and view synthesis. In: CVPR (2018)","DOI":"10.1109\/CVPR.2018.00752"},{"key":"11_CR63","doi-asserted-by":"crossref","unstructured":"Trager, M., Ponce, J., Hebert, M.: Trinocular geometry revisited. International Journal Computer Vision pp. 1\u201319 (2016)","DOI":"10.1007\/s11263-016-0900-y"},{"key":"11_CR64","unstructured":"Trager, M.: Cameras, Shapes, and Contours: Geometric Models in Computer Vision. (Cam\u00e9ras, formes et contours: mod\u00e8les g\u00e9om\u00e9triques en vision par ordinateur). Ph.D. thesis, \u00c9cole Normale Sup\u00e9rieure, Paris, France (2018)"},{"key":"11_CR65","doi-asserted-by":"crossref","unstructured":"Ventura, J., Arth, C., Lepetit, V.: An efficient minimal solution for multi-camera motion. In: International Conference on Computer Vision (ICCV). pp. 747\u2013755 (2015)","DOI":"10.1109\/ICCV.2015.92"},{"issue":"1","key":"11_CR66","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1007\/s11263-013-0640-1","volume":"106","author":"G Xia","year":"2014","unstructured":"Xia, G., Delon, J., Gousseau, Y.: Accurate junction detection and characterization in natural images. Int. J. Comput. Vis. 106(1), 31\u201356 (2014)","journal-title":"Int. J. Comput. Vis."}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-58574-7_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T00:05:47Z","timestamp":1731369947000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-58574-7_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030585730","9783030585747"],"references-count":66,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-58574-7_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"13 November 2020","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":"Glasgow","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","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":"23 August 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2020.eu\/","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":"OpenReview","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5025","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":"1360","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":"27% - 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":"7","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":"The conference was held virtually due to the COVID-19 pandemic. From the ECCV Workshops 249 full papers, 18 short papers, and 21 further contributions were published out of a total of 467 submissions.","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)"}}]}}