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...
| Main Authors: | , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/46392/ http://irep.iium.edu.my/46392/1/46392.pdf |
| _version_ | 1848782959198339072 |
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| author | Morshidi, Malik Arman Tjahjadi, Tardi |
| author_facet | Morshidi, Malik Arman Tjahjadi, Tardi |
| author_sort | Morshidi, Malik Arman |
| building | IIUM Repository |
| collection | Online Access |
| 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.
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| first_indexed | 2025-11-14T16:13:44Z |
| format | Proceeding Paper |
| id | iium-46392 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T16:13:44Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| spellingShingle | QA75 Electronic computers. Computer science Morshidi, Malik Arman Tjahjadi, Tardi Feature points selection for markerless hand pose estimation |
| title | 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_short | Feature points selection for markerless hand pose estimation |
| title_sort | feature points selection for markerless hand pose estimation |
| topic | QA75 Electronic computers. Computer science |
| url | http://irep.iium.edu.my/46392/ http://irep.iium.edu.my/46392/ http://irep.iium.edu.my/46392/1/46392.pdf |