Gaze-Aware Inverse Light Field Mapping for Autostereoscopic Displays

Gaze-Aware Inverse Light Field Mapping for Autostereoscopic Displays | 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 Gaze-Aware Inverse Light Field Mapping for Autostereoscopic Displays Hang SU, Yingchao Xu, Subin Wang, Bo Liu, Ronghui Hong This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7827848/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 8 You are reading this latest preprint version Abstract To overcome the limitations of traditional light field mapping algorithms, including pixel holes in depth discontinuities and computational complexity that grows polynomially as scene resolution increases, we propose a gaze-aware inverse light field mapping algorithm. A corresponding autostereoscopic display system is also developed. In this method, we decouple real-time gaze tracking and inverse light field mapping, executing them as parallel processing threads. The gaze-tracking thread processes video streams from the depth camera. A deep neural network is used to achieve real-time localization of the human eye's 3D coordinates. Based on the real-time 3D eye coordinates, the inverse mapping thread establishes an inverse mapping model from the elemental image to the scene. Experimental results demonstrate that the proposed algorithm effectively eliminates the pixel holes in depth discontinuities common in traditional algorithms, thereby improving light field reproduction quality. As the scene resolution doubles, when the scene resolution doubles, the speedup factor of the proposed method over the traditional one reaches 1.15–1.20, confirming the method’s efficiency and practicality in high-resolution scenarios. autostereoscopic display microlens array elemental image gaze tracking Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 08 Dec, 2025 Reviews received at journal 08 Dec, 2025 Reviewers agreed at journal 08 Dec, 2025 Reviewers agreed at journal 26 Nov, 2025 Reviewers invited by journal 10 Nov, 2025 Editor assigned by journal 16 Oct, 2025 Submission checks completed at journal 16 Oct, 2025 First submitted to journal 10 Oct, 2025 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-7827848","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":542886413,"identity":"d7ad972d-1a94-4f7d-acdd-d2bd4a0e31fd","order_by":0,"name":"Hang SU","email":"","orcid":"","institution":"Xiamen University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Hang","middleName":"","lastName":"SU","suffix":""},{"id":542886416,"identity":"44d11d04-9b71-41d2-ad45-9735c98a06fc","order_by":1,"name":"Yingchao 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