Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Kinect@Home: Crowdsourcing a large 3D dataset of real environments
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.ORCID iD: 0000-0002-1170-7162
2012 (English)In: AAAI Spring Symposium - Technical Report: Volume SS-12-06, 2012, 2012, Vol. SS-12-06, 8-9 p.Conference paper, Published paper (Refereed)
Abstract [en]

We present Kinect@Home, aimed at collecting a vast RGB-D dataset from real everyday living spaces. This dataset is planned to be the largest real world image collection of everyday environments to date, making use of the availability of a widely adopted robotics sensor which is also in the homes of millions of users, the Microsoft Kinect camera.

Place, publisher, year, edition, pages
2012. Vol. SS-12-06, 8-9 p.
Keyword [en]
Crowdsourcing, Data sets, MicroSoft, Real environments, Real-world image
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-101348Scopus ID: 2-s2.0-84865033752ISBN: 978-157735555-7 (print)OAI: oai:DiVA.org:kth-101348DiVA: diva2:547571
Conference
2012 AAAI Spring Symposium; Stanford, CA; 26 March 2012 through 28 March 2012
Funder
ICT - The Next Generation
Note

QC 20120828

Available from: 2012-08-28 Created: 2012-08-27 Last updated: 2013-10-15Bibliographically approved

Open Access in DiVA

No full text

Scopus

Authority records BETA

Jensfelt, Patric

Search in DiVA

By author/editor
Aydemir, AlperHenell, DanielJensfelt, Patric
By organisation
Computer Vision and Active Perception, CVAP
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 124 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf