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Rank-Constrained Fundamental Matrix Estimation by Polynomial Global Optimization Versus the Eight-Point Algorithm

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00230532" target="_blank" >RIV/68407700:21230/15:00230532 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/s10851-014-0545-9" target="_blank" >http://dx.doi.org/10.1007/s10851-014-0545-9</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s10851-014-0545-9" target="_blank" >10.1007/s10851-014-0545-9</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Rank-Constrained Fundamental Matrix Estimation by Polynomial Global Optimization Versus the Eight-Point Algorithm

  • Original language description

    The fundamental matrix can be estimated from point matches. The current gold standard is to bootstrap the eight-point algorithm and two-viewprojective bundle adjustment. The eight-point algorithm first computes a simple linear least squares solution by minimizing an algebraic cost and then projects the result to the closest rank-deficient matrix. We propose a single-step method that solves both steps of the eight-point algorithm. Using recent results from polynomial global optimization, our method findsthe rank-deficient matrix that exactly minimizes the algebraic cost. In this special case, the optimizationmethod is reduced to the resolution of very short sequences of convex linear problems which are computationally efficient and numerically stable.The current gold standard is known to be extremely effective but is nonetheless outperformed by our rank-constrained method for bootstrapping bundle adjustment. This is here demonstrated on simulated and standard real datasets.With our in

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Mathematical Imaging and Vision

  • ISSN

    0924-9907

  • e-ISSN

  • Volume of the periodical

    53

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    19

  • Pages from-to

    42-60

  • UT code for WoS article

    000357289700004

  • EID of the result in the Scopus database

    2-s2.0-84934439848