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.

L ∞ minimization in geometric reconstruction problems

Simple item page
dc.contributor.authorHartley, Richard
dc.contributor.authorSchaffalitzky, Frederik
dc.coverage.spatialWashington USA
dc.date.accessioned2015-12-13T22:45:00Z
dc.date.createdJune 27 2004
dc.date.issued2004
dc.date.updated2015-12-11T10:18:45Z
dc.description.abstractWe investigate the use of the L∞ cost function in geometric vision problems. This cost function measures the maximum of a set of model-fitting errors, rather than the sum-of-squares, or L 2 cost function that is commonly used (in least-squares fitting).
dc.identifier.isbn0769521584
dc.identifier.urihttp://hdl.handle.net/1885/79556
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesComputer Vision and Pattern Recognition Conference (CVPR 2004)
dc.sourceProceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
dc.source.urihttp://cvl.umiacs.umd.edu/conferences/cvpr2004/
dc.subjectKeywords: Cost functions; Image sequences; Motion recovery; Projection errors; Cameras; Computer software; Data reduction; Matrix algebra; Optimization; Polynomials; Problem solving; Computer vision
dc.titleL ∞ minimization in geometric reconstruction problems
dc.typeConference paper
local.bibliographicCitation.lastpage509
local.bibliographicCitation.startpage504
local.contributor.affiliationHartley, Richard, College of Engineering and Computer Science, ANU
local.contributor.affiliationSchaffalitzky, Frederik, College of Engineering and Computer Science, ANU
local.contributor.authoruidHartley, Richard, u4022238
local.contributor.authoruidSchaffalitzky, Frederik, u4050478
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.absfor080106 - Image Processing
local.identifier.absseo890399 - Information Services not elsewhere classified
local.identifier.ariespublicationMigratedxPub7971
local.identifier.scopusID2-s2.0-5044232776
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
01_Hartley_L_∞_minimization_in_geometric_2004.pdf
Size:
299.01 KB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS

abcd