GPU accelerated stereo vision system to capture handwriting information
Stereo vision systems that capture 3D space data are of great use as computer interface systems for emerging technologies such as VR and Robotics. They are inexpensive, yet practical implementation is challenged by high CPU processing power requirement. Thus, in this paper a scheme is developed to e...
| Main Authors: | , , , |
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| Format: | Article |
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World Academy of Research in Science and Engineering
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/80004/ |
| _version_ | 1848858806574907392 |
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| author | Fadi Imad Syed Ahmad, Sharifah Mumtazah Hashim, Shaiful Jahari Samsudin, Khairulmizam |
| author_facet | Fadi Imad Syed Ahmad, Sharifah Mumtazah Hashim, Shaiful Jahari Samsudin, Khairulmizam |
| author_sort | Fadi Imad |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Stereo vision systems that capture 3D space data are of great use as computer interface systems for emerging technologies such as VR and Robotics. They are inexpensive, yet practical implementation is challenged by high CPU processing power requirement. Thus, in this paper a scheme is developed to exploit GPUs in the processing of high definition images required to track an object position and orientation in 3D space in real-time. This is done by porting and optimizing essential processing algorithms to operate efficiently in parallel on a GPU. The object detected is a pen, with the position of the tip and it's orientation tracked in real-time. The writing captured by the system is than compared to the one from commercial digitizing tablet. The results achieved indicated that pen tip can be tracked in 3D space with a percentage error below 1.7% within a distance of 40cm from the stereo camera shooting at a frame rate of 30 frames per second. |
| first_indexed | 2025-11-15T12:19:18Z |
| format | Article |
| id | upm-80004 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T12:19:18Z |
| publishDate | 2019 |
| publisher | World Academy of Research in Science and Engineering |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-800042023-05-31T01:52:08Z http://psasir.upm.edu.my/id/eprint/80004/ GPU accelerated stereo vision system to capture handwriting information Fadi Imad Syed Ahmad, Sharifah Mumtazah Hashim, Shaiful Jahari Samsudin, Khairulmizam Stereo vision systems that capture 3D space data are of great use as computer interface systems for emerging technologies such as VR and Robotics. They are inexpensive, yet practical implementation is challenged by high CPU processing power requirement. Thus, in this paper a scheme is developed to exploit GPUs in the processing of high definition images required to track an object position and orientation in 3D space in real-time. This is done by porting and optimizing essential processing algorithms to operate efficiently in parallel on a GPU. The object detected is a pen, with the position of the tip and it's orientation tracked in real-time. The writing captured by the system is than compared to the one from commercial digitizing tablet. The results achieved indicated that pen tip can be tracked in 3D space with a percentage error below 1.7% within a distance of 40cm from the stereo camera shooting at a frame rate of 30 frames per second. World Academy of Research in Science and Engineering 2019 Article PeerReviewed Fadi Imad and Syed Ahmad, Sharifah Mumtazah and Hashim, Shaiful Jahari and Samsudin, Khairulmizam (2019) GPU accelerated stereo vision system to capture handwriting information. International Journal of Advanced Trends in Computer Science and Engineering, 8 (4). pp. 1186-1193. ISSN 2278-3091 https://www.warse.org/IJATCSE/years/archivesDetiles/?heading=Volume%208%20No.%204%20(2019) 10.30534/ijatcse/2019/29842019 |
| spellingShingle | Fadi Imad Syed Ahmad, Sharifah Mumtazah Hashim, Shaiful Jahari Samsudin, Khairulmizam GPU accelerated stereo vision system to capture handwriting information |
| title | GPU accelerated stereo vision system to capture handwriting information |
| title_full | GPU accelerated stereo vision system to capture handwriting information |
| title_fullStr | GPU accelerated stereo vision system to capture handwriting information |
| title_full_unstemmed | GPU accelerated stereo vision system to capture handwriting information |
| title_short | GPU accelerated stereo vision system to capture handwriting information |
| title_sort | gpu accelerated stereo vision system to capture handwriting information |
| url | http://psasir.upm.edu.my/id/eprint/80004/ http://psasir.upm.edu.my/id/eprint/80004/ http://psasir.upm.edu.my/id/eprint/80004/ |