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Content Provider | IEEE Xplore Digital Library |
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Author | MacLean, W.J. |
Copyright Year | 2005 |
Description | Author affiliation: University of Toronto (MacLean, W.J.) |
Abstract | Reconfigurable hardware, in the form of Field Programmable Gate Arrays (FPGAs), is becoming increasingly attractive for digital signal processing problems, including image processing and computer vision tasks. The ability to exploit the parallelism often found in these problems, as well as the ability to support different modes of operation on a single hardware substrate, gives these devices a particular advantage over fixed architecture devices such as serial CPUs and DSPs. Further, development times are substantially shorter than dedicated hardware in the form of Application Specific ICs (ASICs), and small changes to a design can be prototyped in a matter of hours. On the other hand, designing with FPGAs still requires expertise beyond that found in many vision labs today. This paper looks at the advantages and disadvantages of FPGA technology, its suitability for image processing and computer vision tasks, and attempts to suggest some directions for the future. |
Starting Page | 131 |
Ending Page | 131 |
File Size | 177457 |
Page Count | 1 |
File Format | |
ISBN | 0769523722 |
ISSN | 10636919 |
DOI | 10.1109/CVPR.2005.408 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2005-09-21 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Computer vision Machine vision Image processing Signal processing algorithms Digital signal processing Computer architecture Hardware Stereo vision Field programmable gate arrays Sensor arrays |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Software |
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