Viewpoint invariant reconstruction of 3D human skeleton from monocular images
We present a fast, robust, fault-tolerant and nonparametric approach to reconstruct 3D human skeleton model from single images, regardless of the viewpoint of the camera relative to the observed person. The system achieves high degree of tolerance using search-based inference and probabilistic joint...
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| Format: | Conference or Workshop Item |
| Language: | English |
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2010
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| Online Access: | http://irep.iium.edu.my/43200/ http://irep.iium.edu.my/43200/ http://irep.iium.edu.my/43200/1/IE_2010_-_2.PDF |
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iium-43200 |
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eprints |
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iium-432002015-06-08T03:28:29Z http://irep.iium.edu.my/43200/ Viewpoint invariant reconstruction of 3D human skeleton from monocular images Htike@Muhammad Yusof, Zaw Zaw AI Indexes (General) We present a fast, robust, fault-tolerant and nonparametric approach to reconstruct 3D human skeleton model from single images, regardless of the viewpoint of the camera relative to the observed person. The system achieves high degree of tolerance using search-based inference and probabilistic joint labeling. The system achieves 100% view invariance using a pruning-based parallel search algorithm. 2010-07-19 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/43200/1/IE_2010_-_2.PDF Htike@Muhammad Yusof, Zaw Zaw (2010) Viewpoint invariant reconstruction of 3D human skeleton from monocular images. In: Sixth International Conference on Intelligent Environments, 19-21 July 2010, Kuala Lumpur, Malaysia. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5673743 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
AI Indexes (General) |
| spellingShingle |
AI Indexes (General) Htike@Muhammad Yusof, Zaw Zaw Viewpoint invariant reconstruction of 3D human skeleton from monocular images |
| description |
We present a fast, robust, fault-tolerant and nonparametric approach to reconstruct 3D human skeleton model from single images, regardless of the viewpoint of the camera relative to the observed person. The system achieves high degree of tolerance using search-based inference and probabilistic joint labeling. The system achieves 100% view invariance using a pruning-based parallel search algorithm. |
| format |
Conference or Workshop Item |
| author |
Htike@Muhammad Yusof, Zaw Zaw |
| author_facet |
Htike@Muhammad Yusof, Zaw Zaw |
| author_sort |
Htike@Muhammad Yusof, Zaw Zaw |
| title |
Viewpoint invariant reconstruction of 3D human skeleton from monocular images |
| title_short |
Viewpoint invariant reconstruction of 3D human skeleton from monocular images |
| title_full |
Viewpoint invariant reconstruction of 3D human skeleton from monocular images |
| title_fullStr |
Viewpoint invariant reconstruction of 3D human skeleton from monocular images |
| title_full_unstemmed |
Viewpoint invariant reconstruction of 3D human skeleton from monocular images |
| title_sort |
viewpoint invariant reconstruction of 3d human skeleton from monocular images |
| publishDate |
2010 |
| url |
http://irep.iium.edu.my/43200/ http://irep.iium.edu.my/43200/ http://irep.iium.edu.my/43200/1/IE_2010_-_2.PDF |
| first_indexed |
2023-09-18T21:01:34Z |
| last_indexed |
2023-09-18T21:01:34Z |
| _version_ |
1777410657896890368 |