{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T03:07:09Z","timestamp":1773716829047,"version":"3.50.1"},"reference-count":24,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2022,6,9]],"date-time":"2022-06-09T00:00:00Z","timestamp":1654732800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Nature Fund","award":["No.51877070"],"award-info":[{"award-number":["No.51877070"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Multi-view 3D reconstruction technology is used to restore a 3D model of practical value or required objects from a group of images. This paper designs and implements a set of multi-view 3D reconstruction technology, adopts the fusion method of SIFT and SURF feature-point extraction results, increases the number of feature points, adds proportional constraints to improve the robustness of feature-point matching, and uses RANSAC to eliminate false matching. In the sparse reconstruction stage, the traditional incremental SFM algorithm takes a long time, but the accuracy is high; the traditional global SFM algorithm is fast, but its accuracy is low; aiming at the disadvantages of traditional SFM algorithm, this paper proposes a hybrid SFM algorithm, which avoids the problem of the long time consumption of incremental SFM and the problem of the low precision and poor robustness of global SFM; finally, the MVS algorithm of depth-map fusion is used to complete the dense reconstruction of objects, and the related algorithms are used to complete the surface reconstruction, which makes the reconstruction model more realistic.<\/jats:p>","DOI":"10.3390\/s22124366","type":"journal-article","created":{"date-parts":[[2022,6,13]],"date-time":"2022-06-13T02:01:44Z","timestamp":1655085704000},"page":"4366","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":46,"title":["Research on Multi-View 3D Reconstruction Technology Based on SFM"],"prefix":"10.3390","volume":"22","author":[{"given":"Lei","family":"Gao","sequence":"first","affiliation":[{"name":"School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China"}]},{"given":"Yingbao","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China"}]},{"given":"Jingchang","family":"Han","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China"}]},{"given":"Huixian","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,6,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"889","DOI":"10.1631\/FITEE.1800173","article-title":"Distributed sparse bundle adjustment algorithm based on three-dimension al point partition and asynchronous communication","volume":"19","author":"Shen","year":"2018","journal-title":"Front. 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