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
Hands in Action: Real-Time 3D Reconstruction of Hands in Interaction with Objects
KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS. KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS. KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.ORCID iD: 0000-0002-5750-9655
KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS. KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.ORCID iD: 0000-0003-2965-2953
2010 (English)In: 2010 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA)  / [ed] Rakotondrabe M; Ivan IA, 2010, 458-463 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a method for vision based estimation of the pose of human hands in interaction with objects. Despite the fact that most robotics applications of human hand tracking involve grasping and manipulation of objects, the majority of methods in the literature assume a free hand, isolated from the surrounding environment. Our hand tracking method is non-parametric, performing a nearest neighbor search in a large database (100000 entries) of hand poses with and without grasped objects. The system operates in real time, it is robust to self occlusions, object occlusions and segmentation errors, and provides full hand pose reconstruction from markerless video. Temporal consistency in hand pose is taken into account, without explicitly tracking the hand in the high dimensional pose space.

Place, publisher, year, edition, pages
2010. 458-463 p.
Series
IEEE International Conference on Robotics and Automation ICRA, ISSN 1050-4729
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-27699ISI: 000284150004027Scopus ID: 2-s2.0-77955915217ISBN: 978-1-4244-5040-4 (print)OAI: oai:DiVA.org:kth-27699DiVA: diva2:381120
Conference
IEEE International Conference on Robotics and Automation (ICRA) Anchorage, AK, MAY 03-08, 2010
Note
QC 20101223Available from: 2010-12-23 Created: 2010-12-20 Last updated: 2012-01-23Bibliographically approved

Open Access in DiVA

No full text

Scopus

Authority records BETA

Kjellström, HedvigKragic, Danica

Search in DiVA

By author/editor
Romero, JavierKjellström, HedvigKragic, Danica
By organisation
Centre for Autonomous Systems, CASComputer Vision and Active Perception, CVAP
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 39 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