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Synchronization Problems in Computer Vision with Closed-form Solutions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F20%3A00337196" target="_blank" >RIV/68407700:21730/20:00337196 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/s11263-019-01240-x" target="_blank" >https://doi.org/10.1007/s11263-019-01240-x</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s11263-019-01240-x" target="_blank" >10.1007/s11263-019-01240-x</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Synchronization Problems in Computer Vision with Closed-form Solutions

  • Original language description

    In this paper, we survey and put in a common framework several works that have been developed in different contexts, all dealing with the same abstract problem, called synchronization by some authors, or averaging, or graph optimization by others. The problem consists in recovering some variables from a set of pairwise relation measurements. In particular, we concentrate on instances where the variables and the measures belong to a (semi-)group and the measures are their mutual differences (or ratios, depending on how the group operation is called). The groups we deal with have a matrix representation, which leads to an elegant theory and closed-form solutions.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • 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

    <a href="/en/project/EF15_003%2F0000468" target="_blank" >EF15_003/0000468: Intelligent Machine Perception</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Computer Vision

  • ISSN

    0920-5691

  • e-ISSN

    1573-1405

  • Volume of the periodical

    128

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    27

  • Pages from-to

    26-52

  • UT code for WoS article

    000488905800001

  • EID of the result in the Scopus database

    2-s2.0-85074129864