乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T07:57:39Z","timestamp":1743148659196,"version":"3.40.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031726231"},{"type":"electronic","value":"9783031726248"}],"license":[{"start":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T00:00:00Z","timestamp":1729900800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T00:00:00Z","timestamp":1729900800000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-72624-8_7","type":"book-chapter","created":{"date-parts":[[2024,10,25]],"date-time":"2024-10-25T09:52:13Z","timestamp":1729849933000},"page":"111-126","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Power Variable Projection for\u00a0Initialization-Free Large-Scale Bundle Adjustment"],"prefix":"10.1007","author":[{"given":"Simon","family":"Weber","sequence":"first","affiliation":[]},{"given":"Je Hyeong","family":"Hong","sequence":"additional","affiliation":[]},{"given":"Daniel","family":"Cremers","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,26]]},"reference":[{"key":"7_CR1","doi-asserted-by":"crossref","unstructured":"Absil, P.A., Mahony, R., Sepulchre, R.: Optimization Algorithms on Matrix Manifolds. Princeton University Press (2008)","DOI":"10.1515\/9781400830244"},{"key":"7_CR2","unstructured":"Agarwal, S., Mierle, K., et al.: Ceres solver (2024). http:\/\/ceres-solver.org"},{"key":"7_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1007\/978-3-642-15552-9_3","volume-title":"Computer Vision \u2013 ECCV 2010","author":"S Agarwal","year":"2010","unstructured":"Agarwal, S., Snavely, N., Seitz, S.M., Szeliski, R.: Bundle adjustment in the large. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part II. LNCS, vol. 6312, pp. 29\u201342. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-15552-9_3"},{"key":"7_CR4","doi-asserted-by":"crossref","unstructured":"Belder, A., Vivanti, R., Tal, A.: A game of bundle adjustment-learning efficient convergence. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 8428\u20138437 (2023)","DOI":"10.1109\/ICCV51070.2023.00774"},{"key":"7_CR5","doi-asserted-by":"publisher","unstructured":"Buchanan, A.M., Fitzgibbon, A.W.: Damped Newton algorithms for matrix factorization with missing data. In: 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol.\u00a02, pp. 316\u2013322 (2005). https:\/\/doi.org\/10.1109\/CVPR.2005.118","DOI":"10.1109\/CVPR.2005.118"},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"Demmel, N., Gao, M., Laude, E., Wu, T., Cremers, D.: Distributed photometric bundle adjustment. In: 2020 International Conference on 3D Vision (3DV), pp. 140\u2013149. IEEE (2020)","DOI":"10.1109\/3DV50981.2020.00024"},{"key":"7_CR7","doi-asserted-by":"crossref","unstructured":"Demmel, N., Sommer, C., Cremers, D., Usenko, V.: Square root bundle adjustment for large-scale reconstruction. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11723\u201311732 (2021)","DOI":"10.1109\/CVPR46437.2021.01155"},{"key":"7_CR8","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1007\/s101070100263","volume":"91","author":"ED Dolan","year":"2002","unstructured":"Dolan, E.D., Mor\u00e9, J.J.: Benchmarking optimization software with performance profiles. Math. Program. 91, 201\u2013213 (2002)","journal-title":"Math. Program."},{"issue":"2","key":"7_CR9","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1137\/0710036","volume":"10","author":"GH Golub","year":"1973","unstructured":"Golub, G.H., Pereyra, V.: The differentiation of pseudo-inverses and nonlinear least squares problems whose variables separate. SIAM J. Numer. Anal. 10(2), 413\u2013432 (1973)","journal-title":"SIAM J. Numer. Anal."},{"key":"7_CR10","doi-asserted-by":"crossref","unstructured":"Hong, J.H., Fitzgibbon, A.: Secrets of matrix factorization: approximations, numerics, manifold optimization and random restarts. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 4130\u20134138 (2015)","DOI":"10.1109\/ICCV.2015.470"},{"key":"7_CR11","doi-asserted-by":"crossref","unstructured":"Hong, J.H., Zach, C.: pOSE: pseudo object space error for initialization-free bundle adjustment. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1876\u20131885 (2018)","DOI":"10.1109\/CVPR.2018.00201"},{"key":"7_CR12","doi-asserted-by":"crossref","unstructured":"Hong, J.H., Zach, C., Fitzgibbon, A.: Revisiting the variable projection method for separable nonlinear least squares problems. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5939\u20135947. IEEE (2017)","DOI":"10.1109\/CVPR.2017.629"},{"key":"7_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1007\/978-3-319-46448-0_29","volume-title":"Computer Vision \u2013 ECCV 2016","author":"JH Hong","year":"2016","unstructured":"Hong, J.H., Zach, C., Fitzgibbon, A., Cipolla, R.: Projective bundle adjustment from arbitrary initialization using the variable projection method. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016, Part I. LNCS, vol. 9905, pp. 477\u2013493. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46448-0_29"},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Iglesias, J.P., Nilsson, A., Olsson, C.: expOSE: accurate initialization-free projective factorization using exponential regularization. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8959\u20138968 (2023)","DOI":"10.1109\/CVPR52729.2023.00865"},{"key":"7_CR15","doi-asserted-by":"publisher","unstructured":"Jeong, Y., Nister, D., Steedly, D., Szeliski, R., Kweon, I.S.: Pushing the envelope of modern methods for bundle adjustment. In: 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1474\u20131481 (2010). https:\/\/doi.org\/10.1109\/CVPR.2010.5539795","DOI":"10.1109\/CVPR.2010.5539795"},{"key":"7_CR16","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1007\/BF01932995","volume":"15","author":"L Kaufman","year":"1975","unstructured":"Kaufman, L.: A variable projection method for solving separable nonlinear least squares problems. BIT Numer. Math. 15, 49\u201357 (1975)","journal-title":"BIT Numer. Math."},{"key":"7_CR17","doi-asserted-by":"publisher","unstructured":"Okatani, T., Yoshida, T., Deguchi, K.: Efficient algorithm for low-rank matrix factorization with missing components and performance comparison of latest algorithms. In: 2011 IEEE International Conference on Computer Vision (ICCV), pp. 842\u2013849 (2011). https:\/\/doi.org\/10.1109\/ICCV.2011.6126324","DOI":"10.1109\/ICCV.2011.6126324"},{"key":"7_CR18","doi-asserted-by":"publisher","first-page":"715","DOI":"10.1007\/978-3-031-19836-6_40","volume-title":"European Conference on Computer Vision 2022","author":"J Ren","year":"2022","unstructured":"Ren, J., Liang, W., Yan, R., Mai, L., Liu, S., Liu, X.: MegBA: a GPU-based distributed library for large-scale bundle adjustment. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022. LNCS, vol. 13697, pp. 715\u2013731. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-19836-6_40"},{"issue":"3","key":"7_CR19","doi-asserted-by":"publisher","first-page":"318","DOI":"10.1137\/1022057","volume":"22","author":"A Ruhe","year":"1980","unstructured":"Ruhe, A., Wedin, P.\u00c5.: Algorithms for separable nonlinear least squares problems. SIAM Rev. (SIREV) 22(3), 318\u2013337 (1980). https:\/\/doi.org\/10.1137\/1022057","journal-title":"SIAM Rev. (SIREV)"},{"key":"7_CR20","doi-asserted-by":"publisher","unstructured":"Strelow, D.: General and nested Wiberg minimization. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1584\u20131591 (2012). https:\/\/doi.org\/10.1109\/CVPR.2012.6247850","DOI":"10.1109\/CVPR.2012.6247850"},{"key":"7_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1007\/978-3-642-33786-4_15","volume-title":"Computer Vision \u2013 ECCV 2012","author":"D Strelow","year":"2012","unstructured":"Strelow, D.: General and nested Wiberg minimization: $$L_2$$ and maximum likelihood. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7578, pp. 195\u2013207. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-33786-4_15"},{"key":"7_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"298","DOI":"10.1007\/3-540-44480-7_21","volume-title":"Vision Algorithms: Theory and Practice","author":"B Triggs","year":"2000","unstructured":"Triggs, B., McLauchlan, P.F., Hartley, R.I., Fitzgibbon, A.W.: Bundle adjustment\u2014a modern synthesis. In: Triggs, B., Zisserman, A., Szeliski, R. (eds.) IWVA 1999. LNCS, vol. 1883, pp. 298\u2013372. Springer, Heidelberg (2000). https:\/\/doi.org\/10.1007\/3-540-44480-7_21"},{"key":"7_CR23","doi-asserted-by":"crossref","unstructured":"Weber, S., Demmel, N., Chan, T.C., Cremers, D.: Power bundle adjustment for large-scale 3D reconstruction. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 281\u2013289 (2023)","DOI":"10.1109\/CVPR52729.2023.00035"},{"key":"7_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1007\/978-3-030-92659-5_46","volume-title":"Pattern Recognition","author":"S Weber","year":"2021","unstructured":"Weber, S., Demmel, N., Cremers, D.: Multidirectional conjugate gradients for\u00a0scalable bundle adjustment. In: Bauckhage, C., Gall, J., Schwing, A. (eds.) DAGM GCPR 2021. LNCS, vol. 13024, pp. 712\u2013724. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-92659-5_46"},{"key":"7_CR25","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-40065-5","volume-title":"Numerical Optimization","author":"J Nocedal","year":"2006","unstructured":"Nocedal, J., Wright, S.J.: Numerical Optimization. Springer, New York (2006). https:\/\/doi.org\/10.1007\/978-0-387-40065-5"},{"key":"7_CR26","doi-asserted-by":"publisher","DOI":"10.1007\/b105056","volume-title":"The Schur Complement and Its Applications","author":"F Zhang","year":"2006","unstructured":"Zhang, F.: The Schur Complement and Its Applications, vol. 4. Springer, New York (2006). https:\/\/doi.org\/10.1007\/b105056"},{"issue":"2","key":"7_CR27","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1137\/20M1316445","volume":"42","author":"Q Zheng","year":"2021","unstructured":"Zheng, Q., Xi, Y., Saad, Y.: A power Schur complement low-rank correction preconditioner for general sparse linear systems. SIAM J. Matrix Anal. Appl. 42(2), 659\u2013682 (2021)","journal-title":"SIAM J. Matrix Anal. Appl."},{"key":"7_CR28","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"364","DOI":"10.1007\/978-3-030-58555-6_22","volume-title":"Computer Vision \u2013 ECCV 2020","author":"L Zhou","year":"2020","unstructured":"Zhou, L., et al.: Stochastic bundle adjustment for efficient and scalable 3D reconstruction. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12360, pp. 364\u2013379. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58555-6_22"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-72624-8_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,30]],"date-time":"2024-11-30T07:44:10Z","timestamp":1732952650000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-72624-8_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,26]]},"ISBN":["9783031726231","9783031726248"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-72624-8_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,10,26]]},"assertion":[{"value":"26 October 2024","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":"Milan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2024.ecva.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}