Understanding the Deltoid Phenomenon in the Perspective 3-Point (P3P) Problem

preprint OA: closed
Full text JSON View at publisher
AI-generated summary by claude@2026-07, 2026-07-14

This paper reveals how a Mobius transformation of a simple cubic polynomial provides geometric insight into the P3P problem, linking its discriminant to the deltoid curve and its limit case.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

AI-generated deep summary by claude@2026-07, 2026-07-14 · read from full text

This paper studies the Perspective 3-Point (P3P) problem by analyzing when Grunert’s system of three quadratic equations yields a repeated solution, linking this condition to whether Finsterwalder’s cubic polynomial has a repeated root. Using an explicit Möbius transformation, the author shows that Finsterwalder’s polynomial can be derived from a simpler cubic with complex coefficients, enabling a straightforward derivation of the discriminant and revealing its geometric interpretation as the standard deltoid curve formula. The work also characterizes how, when the camera position is treated as a variable, the discriminant vanishes on a surface approaching a deltoid shape in a “limit case” where the camera moves infinitely far from the control points perpendicular to their plane, and it presents quartic polynomials whose real roots give the P3P solution point coordinates. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

Abstract Concerning the Perspective 3-Point (P3P) Problem, Grunert's system of three quadratic equations has a repeated solution if and only if the cubic polynomial introduced by Finsterwalder has a repeated root. This polynomial is here shown to be obtainable from a particularly simple cubic polynomial with complex coefficients via a simple Mobius transformation. This provides surprising geometric insight into the P3P problem. In particular, (1) the discriminant of Finsterwalder's polynomial can be written using the formula for the standard deltoid curve, and (2) this discriminant, when regarded as a function of camera position, vanishes on a surface that approaches a deltoid shape when the camera is moved infinitely far from the control points in a direction perpendicular to the control points plane (the ''limit case"). These two facts have been previously reported, but obscure reasoning was required to establish them. In contrast, the present article uses the newly discovered cubic polynomial to easily produce the first fact, which then provides a basis for better understanding the second fact. Also presented are quartic polynomials whose real roots are the P3P solution point coordinates. A detailed geometric description of the P3P solution points in the ''limit case" is also supplied.
Full text 12,146 characters · extracted from preprint-html · click to expand
Understanding the Deltoid Phenomenon in the Perspective 3-Point (P3P) Problem | 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 Understanding the Deltoid Phenomenon in the Perspective 3-Point (P3P) Problem Michael Rieck This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4391421/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 31 Jan, 2025 Read the published version in Journal of Mathematical Imaging and Vision → Version 1 posted 9 You are reading this latest preprint version Abstract Concerning the Perspective 3-Point (P3P) Problem, Grunert's system of three quadratic equations has a repeated solution if and only if the cubic polynomial introduced by Finsterwalder has a repeated root. This polynomial is here shown to be obtainable from a particularly simple cubic polynomial with complex coefficients via a simple Mobius transformation. This provides surprising geometric insight into the P3P problem. In particular, (1) the discriminant of Finsterwalder's polynomial can be written using the formula for the standard deltoid curve, and (2) this discriminant, when regarded as a function of camera position, vanishes on a surface that approaches a deltoid shape when the camera is moved infinitely far from the control points in a direction perpendicular to the control points plane (the ''limit case"). These two facts have been previously reported, but obscure reasoning was required to establish them. In contrast, the present article uses the newly discovered cubic polynomial to easily produce the first fact, which then provides a basis for better understanding the second fact. Also presented are quartic polynomials whose real roots are the P3P solution point coordinates. A detailed geometric description of the P3P solution points in the ''limit case" is also supplied. P3P perspective pose camera Grunert system deltoid orthocentric system Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 31 Jan, 2025 Read the published version in Journal of Mathematical Imaging and Vision → Version 1 posted Editorial decision: Revision requested 14 Jul, 2024 Reviews received at journal 08 Jul, 2024 Reviews received at journal 04 Jun, 2024 Reviewers agreed at journal 30 May, 2024 Reviewers agreed at journal 29 May, 2024 Reviewers invited by journal 29 May, 2024 Editor assigned by journal 11 May, 2024 Submission checks completed at journal 10 May, 2024 First submitted to journal 08 May, 2024 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-4391421","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":304164886,"identity":"239ff8b3-7208-4eb1-894f-c32fd4ca05b0","order_by":0,"name":"Michael Rieck","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA90lEQVRIie3NsYrCQBCA4VkWttqQdoKiT3CwchCV+DCCRUo7sbDINbHZB8jBce9gY60MpIrmFUxjZaGN2HiYyFlYJLG02L8Ydpb9WACT6R3jIPLZKw7Agmk+ZXEtagn+k+QVAg+Sx77CF8jHnO93lylCd87Xp+9fb2xrWsFxQqXEJdHt6AShSWLkLJZ+P9qEQxZtq4gUaIUIyKXLsiUpSKXiVlhNnOtfQewzy35ItVP7yK81pGEF918EWwSk1EYDZ5VEuI1mjBK5+HSi2FedJFZrvfXLSUp75zAbtNCm7KRnnmolo2x3mXil5JF82la1700mk8lU2Q1zU0vb3rPS+AAAAABJRU5ErkJggg==","orcid":"","institution":"Drake University","correspondingAuthor":true,"prefix":"","firstName":"Michael","middleName":"","lastName":"Rieck","suffix":""}],"badges":[],"createdAt":"2024-05-08 21:08:19","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4391421/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4391421/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s10851-024-01228-4","type":"published","date":"2025-01-31T15:57:35+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":75351294,"identity":"8a766238-4dbc-4234-a91b-3717f6339afa","added_by":"auto","created_at":"2025-02-03 16:09:04","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":385562,"visible":true,"origin":"","legend":"","description":"","filename":"JMIVRieck2024.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4391421/v1_covered_58910e63-3b53-4fa7-9881-c8cd33a674d9.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Understanding the Deltoid Phenomenon in the Perspective 3-Point (P3P) Problem","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"journal-of-mathematical-imaging-and-vision","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jmiv","sideBox":"Learn more about [Journal of Mathematical Imaging and Vision](http://link.springer.com/journal/10851)","snPcode":"10851","submissionUrl":"https://submission.nature.com/new-submission/10851/3","title":"Journal of Mathematical Imaging and Vision","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"P3P, perspective, pose, camera, Grunert system, deltoid, orthocentric system","lastPublishedDoi":"10.21203/rs.3.rs-4391421/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4391421/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Concerning the Perspective 3-Point (P3P) Problem, Grunert's system of three quadratic equations has a repeated solution if and only if the cubic polynomial introduced by Finsterwalder has a repeated root. This polynomial is here shown to be obtainable from a particularly simple cubic polynomial with complex coefficients via a simple Mobius transformation. This provides surprising geometric insight into the P3P problem. In particular, (1) the discriminant of Finsterwalder's polynomial can be written using the formula for the standard deltoid curve, and (2) this discriminant, when regarded as a function of camera position, vanishes on a surface that approaches a deltoid shape when the camera is moved infinitely far from the control points in a direction perpendicular to the control points plane (the ''limit case\"). These two facts have been previously reported, but obscure reasoning was required to establish them. In contrast, the present article uses the newly discovered cubic polynomial to easily produce the first fact, which then provides a basis for better understanding the second fact. Also presented are quartic polynomials whose real roots are the P3P solution point coordinates. A detailed geometric description of the P3P solution points in the ''limit case\" is also supplied.","manuscriptTitle":"Understanding the Deltoid Phenomenon in the Perspective 3-Point (P3P) Problem","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-05-21 10:18:00","doi":"10.21203/rs.3.rs-4391421/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-07-14T08:15:32+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-07-08T14:05:05+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-06-04T06:23:05+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"166951200287976711404774016320498380446","date":"2024-05-31T02:55:57+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"22798701300480649235603336490279759433","date":"2024-05-30T02:06:13+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-05-30T01:28:48+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-05-11T10:40:01+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-05-10T07:07:50+00:00","index":"","fulltext":""},{"type":"submitted","content":"Journal of Mathematical Imaging and Vision","date":"2024-05-08T20:53:05+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"journal-of-mathematical-imaging-and-vision","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jmiv","sideBox":"Learn more about [Journal of Mathematical Imaging and Vision](http://link.springer.com/journal/10851)","snPcode":"10851","submissionUrl":"https://submission.nature.com/new-submission/10851/3","title":"Journal of Mathematical Imaging and Vision","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"b24bb59f-e58e-44c0-b1cf-453883c68b3f","owner":[],"postedDate":"May 21st, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-02-03T16:02:36+00:00","versionOfRecord":{"articleIdentity":"rs-4391421","link":"https://doi.org/10.1007/s10851-024-01228-4","journal":{"identity":"journal-of-mathematical-imaging-and-vision","isVorOnly":false,"title":"Journal of Mathematical Imaging and Vision"},"publishedOn":"2025-01-31 15:57:35","publishedOnDateReadable":"January 31st, 2025"},"versionCreatedAt":"2024-05-21 10:18:00","video":"","vorDoi":"10.1007/s10851-024-01228-4","vorDoiUrl":"https://doi.org/10.1007/s10851-024-01228-4","workflowStages":[]},"version":"v1","identity":"rs-4391421","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4391421","identity":"rs-4391421","version":["v1"]},"buildId":"_2-kVJe1T_tPrBINL-cwx","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00