Skip navigation
Skip navigation

A Branch-and-Bound Approach to Correspondence and Grouping Problems

Bazin, Jean-Charles; Li, Hongdong; Kweon, In So; Demonceaux, Cedric; Vasseur, Pascal; Ikeuchi, Katsushi

Description

Data correspondence/grouping under an unknown parametric model is a fundamental topic in computer vision. Finding feature correspondences between two images is probably the most popular application of this research field, and is the main motivation of our

dc.contributor.authorBazin, Jean-Charles
dc.contributor.authorLi, Hongdong
dc.contributor.authorKweon, In So
dc.contributor.authorDemonceaux, Cedric
dc.contributor.authorVasseur, Pascal
dc.contributor.authorIkeuchi, Katsushi
dc.date.accessioned2015-12-13T22:28:56Z
dc.identifier.issn0162-8828
dc.identifier.urihttp://hdl.handle.net/1885/74440
dc.description.abstractData correspondence/grouping under an unknown parametric model is a fundamental topic in computer vision. Finding feature correspondences between two images is probably the most popular application of this research field, and is the main motivation of our
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.sourceIEEE Transactions on Pattern Analysis and Machine Intelligence
dc.subjectKeywords: Appearance similarities; bilinearities; Branch and bounds; Branch-and-bound approaches; Computer vision problems; Mixed integer programming; Quadratic constraint; Three-dimensional reconstruction; Algorithms; Geometry; Global optimization; Heuristic metho bilinearities; branch-and-bound; global optimization; Mixed integer programming; quadratic constraint
dc.titleA Branch-and-Bound Approach to Correspondence and Grouping Problems
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume35
dc.date.issued2013
local.identifier.absfor080100 - ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING
local.identifier.ariespublicationf5625xPUB4125
local.type.statusPublished Version
local.contributor.affiliationBazin, Jean-Charles, ETH Zurich
local.contributor.affiliationLi, Hongdong, College of Engineering and Computer Science, ANU
local.contributor.affiliationKweon, In So, KAIST
local.contributor.affiliationDemonceaux, Cedric, Le2i UMR
local.contributor.affiliationVasseur, Pascal, University of Rouen
local.contributor.affiliationIkeuchi, Katsushi, University of Tokyo
local.description.embargo2037-12-31
local.bibliographicCitation.issue7
local.bibliographicCitation.startpage1565
local.bibliographicCitation.lastpage1576
local.identifier.doi10.1109/TPAMI.2012.264
dc.date.updated2016-02-24T09:21:38Z
local.identifier.scopusID2-s2.0-84878156415
local.identifier.thomsonID000319060600003
CollectionsANU Research Publications

Download

File Description SizeFormat Image
01_Bazin_A_Branch-and-Bound_Approach_to_2013.pdf1.91 MBAdobe PDF    Request a copy


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  17 November 2022/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator