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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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