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Rectification from Radially-Distorted Scales

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00327009" target="_blank" >RIV/68407700:21230/19:00327009 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21730/19:00327009

  • Result on the web

    <a href="https://arxiv.org/pdf/1807.06110.pdf" target="_blank" >https://arxiv.org/pdf/1807.06110.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-20873-8_3" target="_blank" >10.1007/978-3-030-20873-8_3</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Rectification from Radially-Distorted Scales

  • Original language description

    This paper introduces the first minimal solvers that jointly estimate lens distortion and affine rectification from repetitions of rigidly-transformed coplanar local features. The proposed solvers incorporate lens distortion into the camera model and extend accurate rectification to wide-angle images that contain nearly any type of coplanar repeated content. We demonstrate a principled approach to generating stable minimal solvers by the Gröbner basis method, which is accomplished by sampling feasible monomial bases to maximize numerical stability. Synthetic and real-image experiments confirm that the solvers give accurate rectifications from noisy measurements if used in a RANSAC-based estimator. The proposed solvers demonstrate superior robustness to noise compared to the state of the art. The solvers work on scenes without straight lines and, in general, relax strong assumptions about scene content made by the state of the art. Accurate rectifications on imagery taken with narrow focal length to fisheye lenses demonstrate the wide applicability of the proposed method. The method is automatic, and the code is published at https://github.com/prittjam/repeats.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    ACCV 2018: Proceedings of the 14th Asian Conference on Computer Vision, Part V

  • ISBN

    978-3-030-20872-1

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    17

  • Pages from-to

    36-52

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Perth

  • Event date

    Dec 4, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000492904000003