3D hand posture recognition using multicam
This paper presents the hand posture recognition in 3D using the MultiCam, a monocular 2D/3D camera developed by Center of Sensorsystems (ZESS). The :VlultiCam is a camera which is capable to provide high resolution of color data acquired from CMOS sensors and low resolution of distance (or ran...
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| Format: | Conference or Workshop Item |
| Language: | en |
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2011
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| Online Access: | http://eprints.utem.edu.my/id/eprint/15084/1/3D%20hand%20posture%20recognition%20using%20multicam251.pdf http://eprints.utem.edu.my/id/eprint/15084/ |
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| _version_ | 1832717033114959872 |
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| author | Mohd Nazrin , Muhammad Nurdiana, Nordin |
| author_facet | Mohd Nazrin , Muhammad Nurdiana, Nordin |
| author_sort | Mohd Nazrin , Muhammad |
| building | UTEM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknikal Malaysia Melaka |
| content_source | UTEM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper presents the hand posture
recognition in 3D using the MultiCam, a monocular 2D/3D
camera developed by Center of Sensorsystems (ZESS). The
:VlultiCam is a camera which is capable to provide high
resolution of color data acquired from CMOS sensors and low
resolution of distance (or range) data calculated based on timeof-
flight (ToF) technology using Photonic Mixer Device (PMD)
sensors. The availability of the distance data allows the hand
posture to be recognized in z-axis direction without complex
computational algorithms which also enables the program to
work in real-time processing as well as eliminates the
background effectively. The hand posture recognition will
employ a simple but robust algorithm by checking the number
of fingers detected around virtually created circle centered at
the Center of Mass (CoM) of the hand and therefore classifies
the class associated with a particular hand posture. At the end
of this paper, the technique that uses intersection
between the circle and fingers as the method to classify
the hand posture which entails the MultiCam capability
is proposed. This technique is able to solve the problem
of orientation, size and distance invariants by utilizing
the distance data. |
| format | Conference or Workshop Item |
| id | my.utem.eprints-15084 |
| institution | Universiti Teknikal Malaysia Melaka |
| language | en |
| publishDate | 2011 |
| record_format | eprints |
| spelling | my.utem.eprints-150842015-10-21T09:14:52Z http://eprints.utem.edu.my/id/eprint/15084/ 3D hand posture recognition using multicam Mohd Nazrin , Muhammad Nurdiana, Nordin TR Photography This paper presents the hand posture recognition in 3D using the MultiCam, a monocular 2D/3D camera developed by Center of Sensorsystems (ZESS). The :VlultiCam is a camera which is capable to provide high resolution of color data acquired from CMOS sensors and low resolution of distance (or range) data calculated based on timeof- flight (ToF) technology using Photonic Mixer Device (PMD) sensors. The availability of the distance data allows the hand posture to be recognized in z-axis direction without complex computational algorithms which also enables the program to work in real-time processing as well as eliminates the background effectively. The hand posture recognition will employ a simple but robust algorithm by checking the number of fingers detected around virtually created circle centered at the Center of Mass (CoM) of the hand and therefore classifies the class associated with a particular hand posture. At the end of this paper, the technique that uses intersection between the circle and fingers as the method to classify the hand posture which entails the MultiCam capability is proposed. This technique is able to solve the problem of orientation, size and distance invariants by utilizing the distance data. 2011-11 Conference or Workshop Item PeerReviewed text en http://eprints.utem.edu.my/id/eprint/15084/1/3D%20hand%20posture%20recognition%20using%20multicam251.pdf Mohd Nazrin , Muhammad and Nurdiana, Nordin (2011) 3D hand posture recognition using multicam. In: 2011 IEEE International Conference on Signal and Image Processing Applications {ICSIPA 2011), 16-18 November 2011, Hotel Maya, Kuala Lumpur. (Submitted) |
| spellingShingle | TR Photography Mohd Nazrin , Muhammad Nurdiana, Nordin 3D hand posture recognition using multicam |
| title | 3D hand posture recognition using multicam |
| title_full | 3D hand posture recognition using multicam |
| title_fullStr | 3D hand posture recognition using multicam |
| title_full_unstemmed | 3D hand posture recognition using multicam |
| title_short | 3D hand posture recognition using multicam |
| title_sort | 3d hand posture recognition using multicam |
| topic | TR Photography |
| url | http://eprints.utem.edu.my/id/eprint/15084/1/3D%20hand%20posture%20recognition%20using%20multicam251.pdf http://eprints.utem.edu.my/id/eprint/15084/ |
| url_provider | http://eprints.utem.edu.my/ |