{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T22:14:09Z","timestamp":1778796849937,"version":"3.51.4"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2021,8,27]],"date-time":"2021-08-27T00:00:00Z","timestamp":1630022400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,8,27]],"date-time":"2021-08-27T00:00:00Z","timestamp":1630022400000},"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":["Int J Comput Vis"],"published-print":{"date-parts":[[2021,11]]},"DOI":"10.1007\/s11263-021-01516-1","type":"journal-article","created":{"date-parts":[[2021,8,27]],"date-time":"2021-08-27T08:04:53Z","timestamp":1630051493000},"page":"3006-3026","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["3D Scene Reconstruction with an Un-calibrated Light Field Camera"],"prefix":"10.1007","volume":"129","author":[{"given":"Qi","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongdong","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xue","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3439-0644","authenticated-orcid":false,"given":"Qing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,8,27]]},"reference":[{"key":"1516_CR1","doi-asserted-by":"crossref","unstructured":"Bartoli, A., & Sturm, P. (2001). The 3d line motion matrix and alignment of line reconstructions. In IEEE conference on computer vision and pattern recognition (CVPR) (Vol. I, pp. I\u2013I). IEEE.","DOI":"10.1109\/CVPR.2001.990488"},{"key":"1516_CR2","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1023\/B:VISI.0000013092.07433.82","volume":"57","author":"A Bartoli","year":"2004","unstructured":"Bartoli, A., & Sturm, P. (2004). The 3d line motion matrix and alignment of line reconstructions. International Journal of Computer Vision, 57, 159\u2013178.","journal-title":"International Journal of Computer Vision"},{"issue":"3","key":"1516_CR3","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1016\/j.cviu.2005.06.001","volume":"100","author":"A Bartoli","year":"2005","unstructured":"Bartoli, A., & Sturm, P. (2005). Structure-from-motion using lines: Representation, triangulation, and bundle adjustment. Computer Vision and Image Understanding, 100(3), 416\u2013441.","journal-title":"Computer Vision and Image Understanding"},{"key":"1516_CR4","doi-asserted-by":"crossref","unstructured":"Birklbauer, C., & Bimber, O. (2014). Panorama light-field imaging. Computer Graphics Forum, 33(2), 43\u201352.","DOI":"10.1111\/cgf.12289"},{"key":"1516_CR5","doi-asserted-by":"crossref","unstructured":"Bok, Y., Jeon, H. G., & Kweon, I. S. (2014). Geometric calibration of micro-lens-based light-field cameras using line features. In European conference on computer vision (ECCV) (pp 47\u201361).","DOI":"10.1007\/978-3-319-10599-4_4"},{"key":"1516_CR6","doi-asserted-by":"crossref","unstructured":"Bok, Y., Jeon, H. G., & Kweon, I. S. (2017). Geometric calibration of micro-lens-based light field cameras using line features. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 39(2), 287\u2013300","DOI":"10.1109\/TPAMI.2016.2541145"},{"key":"1516_CR7","doi-asserted-by":"crossref","unstructured":"Chandraker, M., Agarwal, S., Kahl, F., Nist\u00e9r, D., & Kriegman, D. (2007a). Autocalibration via rank-constrained estimation of the absolute quadric. In IEEE conference on computer vision and pattern recognition (CVPR) (pp. 1\u20138).","DOI":"10.1109\/CVPR.2007.383067"},{"key":"1516_CR8","doi-asserted-by":"crossref","unstructured":"Chandraker, M., Agarwal, S., Kriegman, D., & Belongie, S. (2007b). Globally optimal affine and metric upgrades in stratified autocalibration. In IEEE international conference on computer vision (ICCV) (pp. 1\u20138).","DOI":"10.1109\/ICCV.2007.4409114"},{"key":"1516_CR9","doi-asserted-by":"crossref","unstructured":"Dansereau, D. G., Mahon, I., Pizarro, O., & Williams, S. B. (2011). Plenoptic flow: Closed-form visual odometry for light field cameras. In 2011 IEEE\/RSJ international conference on intelligent robots and systems (pp. 4455\u20134462).","DOI":"10.1109\/IROS.2011.6048841"},{"key":"1516_CR10","doi-asserted-by":"crossref","unstructured":"Dansereau, D. G., Pizarro, O., & Williams, S. B. (2013). Decoding, calibration and rectification for lenselet-based plenoptic cameras. In IEEE conference on computer vision and pattern recognition (CVPR) (pp. 1027\u20131034).","DOI":"10.1109\/CVPR.2013.137"},{"issue":"2","key":"1516_CR11","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1177\/0278364912469420","volume":"32","author":"F Dong","year":"2013","unstructured":"Dong, F., Ieng, S. H., Savatier, X., Etienne-Cummings, R., & Benosman, R. (2013). Plenoptic cameras in real-time robotics. The International Journal of Robotics Research, 32(2), 206\u2013217.","journal-title":"The International Journal of Robotics Research"},{"key":"1516_CR12","unstructured":"Faugeras, O. (1993). Three-dimensional computer vision: a geometric viewpoint. MIT Press."},{"issue":"6","key":"1516_CR13","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. (1981). Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24(6), 381\u2013395.","journal-title":"Communications of the ACM"},{"key":"1516_CR14","doi-asserted-by":"crossref","unstructured":"Gherardi, R., & Fusiello, A. (2010). Practical autocalibration. In European conference on computer vision (ECCV) (pp. 790\u2013801).","DOI":"10.1007\/978-3-642-15549-9_57"},{"issue":"7","key":"1516_CR15","doi-asserted-by":"publisher","first-page":"1852","DOI":"10.1109\/TVCG.2015.2476805","volume":"22","author":"X Guo","year":"2016","unstructured":"Guo, X., Yu, Z., Kang, S. B., Lin, H., & Yu, J. (2016). Enhancing light fields through ray-space stitching. IEEE Transactions on Visualization and Computer Graphics, 22(7), 1852\u20131861.","journal-title":"IEEE Transactions on Visualization and Computer Graphics"},{"key":"1516_CR16","doi-asserted-by":"crossref","unstructured":"Gurdjos, P., Bartoli, A., Sturm, P. (2009). Is dual linear self-calibration artificially ambiguous? In International conference on computer vision (ICCV) (pp. 88\u201395). IEEE.","DOI":"10.1109\/ICCV.2009.5459152"},{"key":"1516_CR17","doi-asserted-by":"crossref","unstructured":"Habed, A., Pani\u00a0Paudel, D., Demonceaux, C., & Fofi, D. (2014). Efficient pruning LMI conditions for branch-and-prune rank and chirality-constrained estimation of the dual absolute quadric. In IEEE conference on computer vision and pattern recognition (CVPR) (pp. 493\u2013500).","DOI":"10.1109\/CVPR.2014.70"},{"key":"1516_CR18","doi-asserted-by":"crossref","unstructured":"Hartley, R., & Zisserman, A. (2003). Multiple view geometry in computer vision. Cambridge University Press.","DOI":"10.1017\/CBO9780511811685"},{"issue":"3","key":"1516_CR19","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1007\/s11263-012-0601-0","volume":"103","author":"R Hartley","year":"2013","unstructured":"Hartley, R., Trumpf, J., Dai, Y., & Li, H. (2013). Rotation averaging. International Journal of Computer Vision, 103(3), 267\u2013305.","journal-title":"International Journal of Computer Vision"},{"issue":"2","key":"1516_CR20","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1006\/cviu.1997.0547","volume":"68","author":"RI Hartley","year":"1997","unstructured":"Hartley, R. I., & Sturm, P. (1997). Triangulation. Computer vision and image understanding, 68(2), 146\u2013157.","journal-title":"Computer vision and image understanding"},{"key":"1516_CR21","doi-asserted-by":"crossref","unstructured":"Hartley, R. I., Hayman, E., de\u00a0Agapito, L., & Reid, I. (1999). Camera calibration and the search for infinity. In IEEE international conference on computer vision (ICCV) (pp. 510\u2013517).","DOI":"10.1109\/ICCV.1999.791264"},{"key":"1516_CR22","doi-asserted-by":"crossref","unstructured":"Johannsen, O., Sulc, A., & Goldluecke, B. (2015). On linear structure from motion for light field cameras. In IEEE international conference on computer vision (ICCV) (pp. 720\u2013728).","DOI":"10.1109\/ICCV.2015.89"},{"key":"1516_CR23","doi-asserted-by":"crossref","unstructured":"Johannsen, O., Sulc, A., Marniok, N., & Goldluecke, B. (2016). Layered scene reconstruction from multiple light field camera views. In Asian conference on computer vision (ACCV) (pp. 3\u201318)","DOI":"10.1007\/978-3-319-54187-7_1"},{"key":"1516_CR24","doi-asserted-by":"crossref","unstructured":"Kneip, L., & Li, H. (2014). Efficient computation of relative pose for multi-camera systems. In IEEE conference on computer vision and pattern recognition (CVPR) (pp. 446\u2013453).","DOI":"10.1109\/CVPR.2014.64"},{"key":"1516_CR25","doi-asserted-by":"crossref","unstructured":"Larsson, V., Kukelova, Z., & Zheng, Y. (2018). Camera pose estimation with unknown principal point. In IEEE conference on computer vision and pattern recognition (CVPR) (pp. 2984\u20132992).","DOI":"10.1109\/CVPR.2018.00315"},{"key":"1516_CR26","doi-asserted-by":"crossref","unstructured":"Levoy, M., & Hanrahan, P. (1996). Light field rendering. In Proceedings of the 23rd annual conference on computer graphics and interactive techniques (pp. 31\u201342).","DOI":"10.1145\/237170.237199"},{"key":"1516_CR27","unstructured":"Li, H., Hartley, R., & Kim, J. H. (2008). A linear approach to motion estimation using generalized camera models. In IEEE conference on computer vision and pattern recognition (CVPR) (pp 1\u20138)."},{"key":"1516_CR28","doi-asserted-by":"crossref","unstructured":"Li, Y., Zhang, Q., Wang, X., & Wang, Q. (2019). Light field slam based on ray-space projection model. In Optoelectronic imaging and multimedia technology VI (Vol. 11187, p 1118706).","DOI":"10.1117\/12.2538016"},{"issue":"2","key":"1516_CR29","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. (2004). Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2), 91\u2013110.","journal-title":"International Journal of Computer Vision"},{"issue":"3","key":"1516_CR30","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1023\/A:1007982716991","volume":"22","author":"QT Luong","year":"1997","unstructured":"Luong, Q. T., & Faugeras, O. D. (1997). Self-calibration of a moving camera from point correspondences and fundamental matrices. International Journal of Computer Vision, 22(3), 261\u2013289.","journal-title":"International Journal of Computer Vision"},{"key":"1516_CR31","unstructured":"Lytro. (2011). Lytro redefines photography with light field cameras. http:\/\/www.lytro.com."},{"issue":"2","key":"1516_CR32","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1007\/BF00127171","volume":"8","author":"SJ Maybank","year":"1992","unstructured":"Maybank, S. J., & Faugeras, O. D. (1992). A theory of self-calibration of a moving camera. International Journal of Computer Vision, 8(2), 123\u2013151.","journal-title":"International Journal of Computer Vision"},{"key":"1516_CR33","unstructured":"Ng, R. (2006). Digital light field photography. PhD thesis, Stanford University."},{"issue":"11","key":"1516_CR34","first-page":"1","volume":"2","author":"R Ng","year":"2005","unstructured":"Ng, R., Levoy, M., Br\u00e9dif, M., Duval, G., Horowitz, M., Hanrahan, P., et al. (2005). Light field photography with a hand-held plenoptic camera. Computer Science Technical Report, 2(11), 1\u201311.","journal-title":"Computer Science Technical Report"},{"issue":"2","key":"1516_CR35","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1023\/B:VISI.0000029667.76852.a1","volume":"60","author":"D Nist\u00e9r","year":"2004","unstructured":"Nist\u00e9r, D. (2004). Untwisting a projective reconstruction. International Journal of Computer Vision, 60(2), 165\u2013183.","journal-title":"International Journal of Computer Vision"},{"key":"1516_CR36","doi-asserted-by":"crossref","unstructured":"Nousias, S., Lourakis, M., & Bergeles, C. (2019). Large-scale, metric structure from motion for unordered light fields. In IEEE conference on computer vision and pattern recognition (CVPR) (pp 3292\u20133301).","DOI":"10.1109\/CVPR.2019.00341"},{"key":"1516_CR37","doi-asserted-by":"crossref","unstructured":"Paudel, D. P., Van\u00a0Gool, L. (2018). Sampling algebraic varieties for robust camera autocalibration. In European conference on computer vision (ECCV) (pp. 275\u2013292)","DOI":"10.1007\/978-3-030-01258-8_17"},{"key":"1516_CR38","first-page":"587","volume":"2","author":"R Pless","year":"2003","unstructured":"Pless, R. (2003). Using many cameras as one. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2, 587\u2013593.","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"1516_CR39","doi-asserted-by":"crossref","unstructured":"Pollefeys, M., & Van\u00a0Gool, L. (1999). Stratified self-calibration with the modulus constraint. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 21(8), 707\u2013724","DOI":"10.1109\/34.784285"},{"issue":"1","key":"1516_CR40","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1023\/A:1008109111715","volume":"32","author":"M Pollefeys","year":"1999","unstructured":"Pollefeys, M., Koch, R., & Van Gool, L. (1999). Self-calibration and metric reconstruction inspite of varying and unknown intrinsic camera parameters. International Journal of Computer Vision, 32(1), 7\u201325.","journal-title":"International Journal of Computer Vision"},{"key":"1516_CR41","doi-asserted-by":"crossref","unstructured":"Pottmann, H., & Wallner, J. (2009). Computational line geometry. Springer Science & Business Media.","DOI":"10.1007\/978-3-642-04018-4"},{"key":"1516_CR42","unstructured":"Raytrix. (2013). 3d light field camera technology. http:\/\/www.raytrix.de."},{"key":"1516_CR43","doi-asserted-by":"crossref","unstructured":"Ren, Z., Zhang, Q., Zhu, H., & Wang, Q. (2017). Extending the FOV from disparity and color consistencies in multiview light fields. In IEEE international conference on image processing (ICIP) (pp. 1157\u20131161).","DOI":"10.1109\/ICIP.2017.8296463"},{"key":"1516_CR44","unstructured":"Seo, Y., Heyden, A., & Cipolla, R. (2001). A linear iterative method for auto-calibration using the dac equation. In IEEE conference on computer vision and pattern recognition (CVPR)."},{"key":"1516_CR45","first-page":"206","volume":"1","author":"P Sturm","year":"2005","unstructured":"Sturm, P. (2005). Multi-view geometry for general camera models. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1, 206\u2013212.","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"1516_CR46","doi-asserted-by":"crossref","unstructured":"Triggs, B. (1997). Autocalibration and the absolute quadric. In IEEE conference on computer vision and pattern recognition (CVPR) (pp. 609\u2014-614).","DOI":"10.1109\/CVPR.1997.609388"},{"key":"1516_CR47","doi-asserted-by":"crossref","unstructured":"Vianello, A., Ackermann, J., Diebold, M., & J\u00e4hne, B. (2018). Robust hough transform based 3d reconstruction from circular light fields. In IEEE conference on computer vision and pattern recognition (CVPR) (pp. 7327\u20137335).","DOI":"10.1109\/CVPR.2018.00765"},{"key":"1516_CR48","doi-asserted-by":"crossref","unstructured":"Zhang, Q., & Wang, Q. (2018). Common self-polar triangle of concentric conics for light field camera calibration. In Asian conference on computer vision (ACCV) (pp. 18\u201333).","DOI":"10.1007\/978-3-030-20876-9_2"},{"key":"1516_CR49","doi-asserted-by":"crossref","unstructured":"Zhang, Q., Ling, J., Wang, Q., & Yu, J. (2019a). Ray-space projection model for light field camera. In IEEE conference on computer vision and pattern recognition (CVPR) (pp. 10121\u201310129).","DOI":"10.1109\/CVPR.2019.01036"},{"key":"1516_CR50","doi-asserted-by":"crossref","unstructured":"Zhang, Q., Wang, X., & Wang, Q. (2019b). Light field planar homography and its application. In Optoelectronic imaging and multimedia technology VI (Vol. 11187, p. 111870S).","DOI":"10.1117\/12.2538015"},{"key":"1516_CR51","doi-asserted-by":"crossref","unstructured":"Zhang, Q., Zhang, C., Ling, J., Wang, Q., & Yu, J. (2019c). A generic multi-projection-center model and calibration method for light field cameras. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 41(11), 2539\u20132552.","DOI":"10.1109\/TPAMI.2018.2864617"},{"key":"1516_CR52","doi-asserted-by":"publisher","unstructured":"Zhang, Q., Wang, Q., Li, H., & Yu, J. (2020). Ray-space epipolar geometry for light field cameras. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 1. https:\/\/doi.org\/10.1109\/TPAMI.2020.3025949.","DOI":"10.1109\/TPAMI.2020.3025949"},{"key":"1516_CR53","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Li, Z., Yang, W., Yu, P., Lin, H., & Yu, J. (2017a). The light field 3d scanner. In IEEE international conference on computational photography (ICCP) (pp. 1\u20139).","DOI":"10.1109\/ICCPHOT.2017.7951484"},{"key":"1516_CR54","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Yu, P., Yang, W., Ma, Y., & Yu, J. (2017b). Ray space features for plenoptic structure-from-motion. In IEEE international Conference on computer vision (ICCV) (pp. 4631\u20134639).","DOI":"10.1109\/ICCV.2017.496"}],"container-title":["International Journal of Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11263-021-01516-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11263-021-01516-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11263-021-01516-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T09:49:56Z","timestamp":1634464196000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11263-021-01516-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,27]]},"references-count":54,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2021,11]]}},"alternative-id":["1516"],"URL":"https:\/\/doi.org\/10.1007\/s11263-021-01516-1","relation":{},"ISSN":["0920-5691","1573-1405"],"issn-type":[{"value":"0920-5691","type":"print"},{"value":"1573-1405","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,27]]},"assertion":[{"value":"7 October 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 August 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 August 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}