Camera Self-Calibration and 3D Stratified Reconstruction for Image Sequences with Geometric Features

Camera Self-Calibration and 3D Stratified Reconstruction for Image Sequences with Geometric Features | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Camera Self-Calibration and 3D Stratified Reconstruction for Image Sequences with Geometric Features Wen Jiang, Yue Zhao, Qing-Feng Zhuo, Qing-Yang Zhao This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3937145/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Three-dimensional (3D) stratified reconstruction under geometric transformations is of great significance in computer vision research. Certain applications involve projective or affine reconstruction; however, metric reconstruction best reflects the factual information of the object. The internal and external parameters of the camera play important roles in the stratified reconstruction. This study performed camera calibration using the geometric constraints of a scene in an image sequence or video stream. Consequently, 3D stratified reconstruction from the point cloud was performed according to the algebraic and geometric relations between projective, affine, and metric transformations. Delaunay triangulation and texture mapping were then used to restore the surface of the object in the scene. The results show that the object could be reconstructed both in disordered images and video streams and could be used to restore the 3D appearance of the object and obtain its corresponding geometric information. Finally, the You Only Look Once Version (YOLOV5) target detection algorithm was used to detect the metric reconstruction results, which demonstrated that the effect was satisfactory. Geometric transformation 3D stratified reconstruction camera self-calibration texture mapping Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3937145","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":272153734,"identity":"4f0db1fa-4e46-4249-a444-aad78fbe521c","order_by":0,"name":"Wen Jiang","email":"","orcid":"","institution":"Yunnan University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Wen","middleName":"","lastName":"Jiang","suffix":""},{"id":272153735,"identity":"bfd82abd-4b2c-498a-aa9a-0f758a1f7f9f","order_by":1,"name":"Yue Zhao","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA20lEQVRIiWNgGAWjYDACCSD+UGFTzw+kmYnWwjjjTFqCZANUCw8xWpg5Ww4nGBwgVov87OaHjxkb0vKMbyQf/FzAcEfOnpAWxjnHjI0Ld9gUm91IS5aewfDMmKAtzBIJZtIzz6QxbruRYyDNw3A4sYeQFjaJ9G/SvG2HGTfPyP/8G6ilnqAWHokcM5CWxA0SOWwgWxIIOkxCIqfYEBjIxhJnnplZ8xgcNuw5QECL/Iz0jQ+AUSnH3578+DZPxWF59gZC1sCBQAKQMCBaOQjwE3LQKBgFo2AUjFgAAL/8PxxnT8fuAAAAAElFTkSuQmCC","orcid":"","institution":"Yunnan University","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Yue","middleName":"","lastName":"Zhao","suffix":""},{"id":272153736,"identity":"5231ba81-5faf-4333-af25-34cb231d47fb","order_by":2,"name":"Qing-Feng Zhuo","email":"","orcid":"","institution":"Yunnan University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Qing-Feng","middleName":"","lastName":"Zhuo","suffix":""},{"id":272153737,"identity":"edeec69c-5c87-4cc3-8127-c9e9320ad7db","order_by":3,"name":"Qing-Yang Zhao","email":"","orcid":"","institution":"Yunnan University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Qing-Yang","middleName":"","lastName":"Zhao","suffix":""}],"badges":[],"createdAt":"2024-02-07 14:35:32","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3937145/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3937145/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":56627346,"identity":"913421bb-ce19-4177-8f45-e73e6805a3ed","added_by":"auto","created_at":"2024-05-16 22:49:23","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1444859,"visible":true,"origin":"","legend":"","description":"","filename":"CameraSelfCalibrationand3DStratifiedReconstructionforImageSequenceswithGeometricFeatures.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3937145/v1_covered_48e95802-7140-4079-b4be-7dd9a42550ab.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Camera Self-Calibration and 3D Stratified Reconstruction for Image Sequences with Geometric Features","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Geometric transformation, 3D stratified reconstruction, camera self-calibration, texture mapping","lastPublishedDoi":"10.21203/rs.3.rs-3937145/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3937145/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Three-dimensional (3D) stratified reconstruction under geometric transformations is of great significance in computer vision research. 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