Enhanced Feature Matching: Entropy-Guided ORB with Adaptive Descriptors

Enhanced Feature Matching: Entropy-Guided ORB with Adaptive Descriptors | 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 Enhanced Feature Matching: Entropy-Guided ORB with Adaptive Descriptors ZhiHeng Tang, Yan Dou, Xiaoyan Wang, Lele Zhang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7535082/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 In real-time computer vision applications, robust feature matching is crucial for environment perception and localization. Traditional ORB algorithms struggle under low-texture or significant illumination variations. We propose EAD-ORB, an enhanced algorithm incorporating an entropy-guided adaptive thresholding mechanism for keypoint detection and a dual-channel descriptor for improved adaptability. Experimental results on the HPatches dataset demonstrate an average matching accuracy of 83.20%, significantly outperforming ORB (80.18%) and other methods under illumination variations. EAD-ORB's training-free, stable, and geometrically accurate performance makes it suitable for complex image matching and SLAM applications.The code of this work is publicly available at: https://github.com/Mayrou/EAD-ORB Feature detection ORB algorithm Adaptive thresholding Dual-information descriptor Image matching 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-7535082","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":538673784,"identity":"84db06a7-3af0-4578-945a-698fc2f637f3","order_by":0,"name":"ZhiHeng Tang","email":"","orcid":"","institution":"Yanshan University","correspondingAuthor":false,"prefix":"","firstName":"ZhiHeng","middleName":"","lastName":"Tang","suffix":""},{"id":538673786,"identity":"c969289e-e343-4bca-af43-9bf2557460f3","order_by":1,"name":"Yan 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Traditional ORB algorithms struggle under low-texture or significant illumination variations. We propose EAD-ORB, an enhanced algorithm incorporating an entropy-guided adaptive thresholding mechanism for keypoint detection and a dual-channel descriptor for improved adaptability. Experimental results on the HPatches dataset demonstrate an average matching accuracy of 83.20%, significantly outperforming ORB (80.18%) and other methods under illumination variations. EAD-ORB's training-free, stable, and geometrically accurate performance makes it suitable for complex image matching and SLAM applications.The code of this work is publicly available at:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://github.com/Mayrou/EAD-ORB\u003c/span\u003e\u003cspan address=\"https://github.com/Mayrou/EAD-ORB\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e","manuscriptTitle":"Enhanced Feature Matching: Entropy-Guided ORB with Adaptive Descriptors","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-11-04 15:01:52","doi":"10.21203/rs.3.rs-7535082/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","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}}],"origin":"","ownerIdentity":"559895d0-c95a-4d76-980e-7e5606e164f8","owner":[],"postedDate":"November 4th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-04-26T12:54:10+00:00","versionOfRecord":[],"versionCreatedAt":"2025-11-04 15:01:52","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7535082","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7535082","identity":"rs-7535082","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}