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Motion Estimation for Multi-Camera Systems using Global Optimization

Kim, Jae-Hak; Li, Hongdong; Hartley, Richard

Description

We present a motion estimation algorithm for multi-camera systems consisting of more than one calibrated camera securely attached on a moving object. So, they move all together, but do not require to have overlapping views across the cameras. The geometrically optimal solution of the motion for the multi-camera systems under L∞ norm is provided in this paper using a global optimization technique which has been introduced recently in the computer vision research field. Taking advantage of an...[Show more]

dc.contributor.authorKim, Jae-Hak
dc.contributor.authorLi, Hongdong
dc.contributor.authorHartley, Richard
dc.coverage.spatialAnchorage Alaska
dc.date.accessioned2015-12-07T22:14:43Z
dc.date.createdJune 24-26 2008
dc.identifier.isbn9781424422432
dc.identifier.urihttp://hdl.handle.net/1885/17562
dc.description.abstractWe present a motion estimation algorithm for multi-camera systems consisting of more than one calibrated camera securely attached on a moving object. So, they move all together, but do not require to have overlapping views across the cameras. The geometrically optimal solution of the motion for the multi-camera systems under L∞ norm is provided in this paper using a global optimization technique which has been introduced recently in the computer vision research field. Taking advantage of an optimal estimate of the essential matrix through searching rotation space, we provide the optimal solution for translation by using linear programming and Branch & Bound algorithm. Synthetic and real data experiments are conducted, and they show more robust and improved performance than the previous methods.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesComputer Vision and Pattern Recognition Conference (CVPR 2008)
dc.sourceProceedings of CVPR 2008
dc.subjectKeywords: Calibrated cameras; Motion estimation algorithms; Moving objects; Multi-camera systems; Optimal solutions; Artificial intelligence; Cameras; Computer vision; Estimation; Feature extraction; Global optimization; Image processing; Mathematical programming;
dc.titleMotion Estimation for Multi-Camera Systems using Global Optimization
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2008
local.identifier.absfor080104 - Computer Vision
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.ariespublicationu2505865xPUB2
local.type.statusPublished Version
local.contributor.affiliationKim, Jae-Hak, College of Engineering and Computer Science, ANU
local.contributor.affiliationLi, Hongdong, College of Engineering and Computer Science, ANU
local.contributor.affiliationHartley, Richard, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage8
local.identifier.doi10.1109/CVPR.2008.4587680
dc.date.updated2015-12-07T07:33:23Z
local.identifier.scopusID2-s2.0-51949106661
CollectionsANU Research Publications

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