The implementation of computer vision algorithms in fixed point
57 p.
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2011
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| Online Access: | http://hdl.handle.net/10356/46839 |
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| Institution: | Nanyang Technological University |
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sg-ntu-dr.10356-468392023-07-04T15:32:50Z The implementation of computer vision algorithms in fixed point Yang, Yi School of Electrical and Electronic Engineering DRNTU::Engineering 57 p. For many original foreground detection algorithms, they are all first simulated using floating point algorithm and later transformed into fixed point to implementation on some hardware, as DSP or FPGA. However, these designs and processes take much time than those float point designs. Furthermore, the word-length in fixed point implementation is the key point. Different choice of the word-length has to lead different trade-off between foreground detection quality and implementation complexity. Master of Science (Signal Processing) 2011-12-23T09:59:59Z 2011-12-23T09:59:59Z 2010 2010 Thesis http://hdl.handle.net/10356/46839 Nanyang Technological University application/pdf |
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DRNTU::Engineering Yang, Yi The implementation of computer vision algorithms in fixed point |
| description |
57 p. |
| author2 |
School of Electrical and Electronic Engineering |
| author_facet |
School of Electrical and Electronic Engineering Yang, Yi |
| format |
Theses and Dissertations |
| author |
Yang, Yi |
| author_sort |
Yang, Yi |
| title |
The implementation of computer vision algorithms in fixed point |
| title_short |
The implementation of computer vision algorithms in fixed point |
| title_full |
The implementation of computer vision algorithms in fixed point |
| title_fullStr |
The implementation of computer vision algorithms in fixed point |
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The implementation of computer vision algorithms in fixed point |
| title_sort |
implementation of computer vision algorithms in fixed point |
| publishDate |
2011 |
| url |
http://hdl.handle.net/10356/46839 |
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1772829169674092544 |