Synchronization Problems in Computer Vision with Closed-form Solutions

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Synchronization Problems in Computer Vision with Closed-form Solutions

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Synchronization Problems in Computer Vision with Closed-form Solutions

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

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

Projekt

<a href="/cs/project/EF15_003%2F0000468" target="_blank" >EF15_003/0000468: Inteligentní strojové vnímání</a><br>

Návaznosti

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

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

International Journal of Computer Vision

ISSN

0920-5691

e-ISSN

1573-1405

Svazek periodika

128

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

27

Strana od-do

26-52

Kód UT WoS článku

000488905800001

EID výsledku v databázi Scopus

2-s2.0-85074129864