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OpenGV

dc.contributor.authorKneip, Laurenten
dc.contributor.authorFurgale, Paulen
dc.date.accessioned2025-02-11T03:17:26Z
dc.date.available2025-02-11T03:17:26Z
dc.date.issued2014-09-22en
dc.description.abstractOpenGV is a new C++ library for calibrated realtime 3D geometric vision. It unifies both central and non-central absolute and relative camera pose computation algorithms within a single library. Each problem type comes with minimal and non-minimal closed-form solvers, as well as non-linear iterative optimization and robust sample consensus methods. OpenGV therefore contains an unprecedented level of completeness with regard to calibrated geometric vision algorithms, and it is the first library with a dedicated focus on a unified real-time usage of non-central multi-camera systems, which are increasingly popular in robotics and in the automotive industry. This paper introduces OpenGV's flexible interface and abstraction for multi-camera systems, and outlines the performance of all contained algorithms. It is our hope that the introduction of this open-source platform will motivate people to use it and potentially also include more algorithms, which would further contribute to the general accessibility of geometric vision algorithms, and build a common playground for the fair comparison of different solutions.en
dc.description.statustrueen
dc.format.extent8en
dc.identifier.isbn9781479936854en
dc.identifier.isbn9781479936854en
dc.identifier.issn1050-4729en
dc.identifier.otherresearchoutputwizard:U5431022xPUB123en
dc.identifier.otherScopus:84925313379en
dc.identifier.urihttps://dspace-test.anu.edu.au/handle/1885/733713559
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84925313379&partnerID=8YFLogxKen
dc.language.isoEnglishen
dc.relation.ispartofseriesProceedings - IEEE International Conference on Robotics and Automationen
dc.rightsPublisher Copyright: © 2014 IEEE.en
dc.titleOpenGVen
dc.typeConference contributionen
local.bibliographicCitation.lastpage8en
local.bibliographicCitation.startpage1en
local.contributor.affiliationKneip, Laurent; School of Engineering, ANU College of Systems and Society, The Australian National Universityen
local.contributor.affiliationFurgale, Paul; Swiss Federal Institute of Technology Zurichen
local.identifier.doi10.1109/ICRA.2014.6906582en
local.identifier.pure9f4ee0de-5e2e-4c99-b354-305eb9e6458fen
local.type.statusPublisheden

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