Test environment running 7.6.6

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.

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

Thumbnail Image

Date

2013

Authors

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

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

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

Description

Keywords

Citation

URI

http://hdl.handle.net/1885/74440

Collections

Open Access Research

Source

IEEE Transactions on Pattern Analysis and Machine Intelligence

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

DOI

10.1109/TPAMI.2012.264

Restricted until

2037-12-31

Downloads

File
Description
01_Bazin_A_Branch-and-Bound_Approach_to_2013.pdf (1.87 MB)

DSpace software copyright © 2002-2026 LYRASIS