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.

Regular Polygon Detection as an Interest Point Operator for SLAM

Simple item page
dc.contributor.authorShaw, David
dc.contributor.authorBarnes, Nick
dc.coverage.spatialCanberra Australia
dc.date.accessioned2015-12-13T22:43:38Z
dc.date.createdDecember 6 2004
dc.date.issued2004
dc.date.updated2015-12-11T10:13:25Z
dc.identifier.isbn0958758360
dc.identifier.urihttp://hdl.handle.net/1885/79282
dc.publisherAustralian Robotics and Automation Association
dc.relation.ispartofseriesAustralasian Conference on Robotics and Automation (ACRA 2004)
dc.sourceProceedings of the 2004 Australasian Conference on Robotics and Automation
dc.source.urihttp://www.araa.asn.au/acra/acra2004/index.html
dc.titleRegular Polygon Detection as an Interest Point Operator for SLAM
dc.typeConference paper
local.contributor.affiliationShaw, David, College of Engineering and Computer Science, ANU
local.contributor.affiliationBarnes, Nick, College of Engineering and Computer Science, ANU
local.contributor.authoruidShaw, David, a144590
local.contributor.authoruidBarnes, Nick, a176407
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080101 - Adaptive Agents and Intelligent Robotics
local.identifier.ariespublicationMigratedxPub7758
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
01_Shaw_Regular_Polygon_Detection_as_2004.pdf
Size:
795.35 KB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS

abcd