Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Self-Calibrating Cameras Using Semidefinite Programming

dc.contributor.authorShen, Chunhua
dc.contributor.authorLi, Hongdong
dc.contributor.authorBrooks, Michael
dc.coverage.spatialCanberra Australia
dc.date.accessioned2015-12-08T22:35:45Z
dc.date.createdDecember 1-3 2008
dc.date.issued2008
dc.date.updated2016-02-24T10:57:59Z
dc.description.abstractNovel methods are proposed for self-calibrating a purerotating camera using semidefinite programming (SDP). Key to the approach is the use of the positive-definiteness requirement for the dual image of the absolute conic (DIAC). The problem is couched within a convex optimization framework and convergence to the global optimum is guaranteed. Experiments on various data sets indicate that the proposed algorithms more reliably deliver accurate and meaningful results. This work points the way to an alternative and more general approach to self-calibration using the advantageous properties of SDP. Algorithms are also discussed for cameras undergoing general motion.
dc.identifier.isbn9780769534565
dc.identifier.urihttp://hdl.handle.net/1885/34988
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesDigital Image Computing: Techniques and Applications (DICTA 2008)
dc.sourceProceedings of Digital Image Computing: Techniques and Applications (DICTA 2008)
dc.subjectKeywords: Data sets; Dual image; General approach; Global optimum; Novel methods; Optimization framework; Self calibration; Self-calibrating; Semi-definite programming; Convex optimization; Medical imaging; Cameras
dc.titleSelf-Calibrating Cameras Using Semidefinite Programming
dc.typeConference paper
local.bibliographicCitation.lastpage441
local.bibliographicCitation.startpage436
local.contributor.affiliationShen, Chunhua, College of Engineering and Computer Science, ANU
local.contributor.affiliationLi, Hongdong, College of Engineering and Computer Science, ANU
local.contributor.affiliationBrooks, Michael, University of Adelaide
local.contributor.authoruidShen, Chunhua, a224095
local.contributor.authoruidLi, Hongdong, u4056952
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080104 - Computer Vision
local.identifier.absfor080106 - Image Processing
local.identifier.ariespublicationu4334215xPUB119
local.identifier.doi10.1109/DICTA.2008.46
local.identifier.scopusID2-s2.0-67549129191
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
01_Shen_Self-Calibrating_Cameras_Using_2008.pdf
Size:
351.06 KB
Format:
Adobe Portable Document Format