A consensus-based framework for distributed Bundle Adjustment

Simple item page
dc.contributor.authorEriksson, A.
dc.contributor.authorBastian, J.
dc.contributor.authorChin, T.
dc.contributor.authorIsaksson, M.
dc.contributor.conference2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) (27 Jun 2016 - 30 Jun 2016 : Las Vegas, NV, USA)
dc.date.issued2016
dc.description.abstractIn this paper we study large-scale optimization problems in multi-view geometry, in particular the Bundle Adjustment problem. In its conventional formulation, the complexity of existing solvers scale poorly with problem size, hence this component of the Structure-from-Motion pipeline can quickly become a bottle-neck. Here we present a novel formulation for solving bundle adjustment in a truly distributed manner using consensus based optimization methods. Our algorithm is presented with a concise derivation based on proximal splitting, along with a theoretical proof of convergence and brief discussions on complexity and implementation. Experiments on a number of real image datasets convincingly demonstrates the potential of the proposed method by outperforming the conventional bundle adjustment formulation by orders of magnitude.
dc.description.statementofresponsibilityAnders Eriksson, John Bastian, Tat-Jun Chin and Mats Isaksson
dc.identifier.citationProceedings / CVPR, IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2016, vol.2016-December, pp.1754-1762
dc.identifier.doi10.1109/CVPR.2016.194
dc.identifier.isbn9781467388511
dc.identifier.issn1063-6919
dc.identifier.urihttp://hdl.handle.net/2440/108602
dc.language.isoen
dc.publisherIEEE
dc.relation.granthttp://purl.org/au-research/grants/arc/DE130101775
dc.relation.granthttp://purl.org/au-research/grants/arc/DP160103490
dc.rights© 2016 IEEE
dc.source.urihttps://doi.org/10.1109/cvpr.2016.194
dc.subjectGeometry, cameras, signal processing algorithms, computers, optimization, complexity theory, image reconstruction
dc.titleA consensus-based framework for distributed Bundle Adjustment
dc.typeConference paper
pubs.publication-statusPublished

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
RA_hdl_108602.pdf
Size:
703.59 KB
Format:
Adobe Portable Document Format
Description:
Restricted Access
Download

Collections

Computer Science publications