Feature points selection for markerless hand pose estimation

One of the conditions for accurate planar pose estimation is that feature points must be both coplanar and noncollinear. Many research on markerless hand tracking and pose estimation as a planar target have been done, however the selection of hand feature points as coplanar but noncollinear points h...

Full description

Bibliographic Details
Main Authors:	Morshidi, Malik Arman, Tjahjadi, Tardi
Format:	Conference or Workshop Item
Language:	English
Published:	2015
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/46392/ http://irep.iium.edu.my/46392/ http://irep.iium.edu.my/46392/1/46392.pdf

id	iium-46392
recordtype	eprints
spelling	iium-463922017-05-19T08:23:22Z http://irep.iium.edu.my/46392/ Feature points selection for markerless hand pose estimation Morshidi, Malik Arman Tjahjadi, Tardi QA75 Electronic computers. Computer science One of the conditions for accurate planar pose estimation is that feature points must be both coplanar and noncollinear. Many research on markerless hand tracking and pose estimation as a planar target have been done, however the selection of hand feature points as coplanar but noncollinear points has not been investigated. This paper proposes a novel selection of hand feature points for pose estimation that improves the pose estimation. Markerless hand pose estimation as a continuous tracking of rigid planar object is made possible using robust planar pose (RPP) algorithm implemented on a marker-based Augmented Reality Toolkit (ARToolkit) library. The results obtained show significant improvement over recent approaches on the accuracy of the estimated pose such as in the rotation and the translation parameters and pose ambiguity problems are greatly reduced. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/46392/1/46392.pdf Morshidi, Malik Arman and Tjahjadi, Tardi (2015) Feature points selection for markerless hand pose estimation. In: 2015 International Conference on Smart Sensors and Application (ICSSA), 26th-28th May 2015, Grand Seasons Hotel, Kuala Lumpur. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7322525
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Morshidi, Malik Arman Tjahjadi, Tardi Feature points selection for markerless hand pose estimation
description	One of the conditions for accurate planar pose estimation is that feature points must be both coplanar and noncollinear. Many research on markerless hand tracking and pose estimation as a planar target have been done, however the selection of hand feature points as coplanar but noncollinear points has not been investigated. This paper proposes a novel selection of hand feature points for pose estimation that improves the pose estimation. Markerless hand pose estimation as a continuous tracking of rigid planar object is made possible using robust planar pose (RPP) algorithm implemented on a marker-based Augmented Reality Toolkit (ARToolkit) library. The results obtained show significant improvement over recent approaches on the accuracy of the estimated pose such as in the rotation and the translation parameters and pose ambiguity problems are greatly reduced.
format	Conference or Workshop Item
author	Morshidi, Malik Arman Tjahjadi, Tardi
author_facet	Morshidi, Malik Arman Tjahjadi, Tardi
author_sort	Morshidi, Malik Arman
title	Feature points selection for markerless hand pose estimation
title_short	Feature points selection for markerless hand pose estimation
title_full	Feature points selection for markerless hand pose estimation
title_fullStr	Feature points selection for markerless hand pose estimation
title_full_unstemmed	Feature points selection for markerless hand pose estimation
title_sort	feature points selection for markerless hand pose estimation
publishDate	2015
url	http://irep.iium.edu.my/46392/ http://irep.iium.edu.my/46392/ http://irep.iium.edu.my/46392/1/46392.pdf
first_indexed	2023-09-18T21:06:02Z
last_indexed	2023-09-18T21:06:02Z
_version_	1777410939704836096

Feature points selection for markerless hand pose estimation

Similar Items