A Parameterized Stereo Vision Core for FPGAs
We present a parameterized stereo vision core suitable for a wide range of FPGA targets and stereo vision applications. By enabling easy tuning of algorithm parameters, our system allows for rapid exploration of the design space and simpler implementation of high-performance stereo vision systems. T...
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| creator | Longfield, S. Chang, M.L. |
| description | We present a parameterized stereo vision core suitable for a wide range of FPGA targets and stereo vision applications. By enabling easy tuning of algorithm parameters, our system allows for rapid exploration of the design space and simpler implementation of high-performance stereo vision systems. This implementation utilizes the census transform algorithm to calculate depth information from a pair of images delivered from a simulated stereo camera pair. This work advances our previous work through implementation improvements, a stereo camera pair simulation framework, and a scalable stereo vision core. |
| doi_str_mv | 10.1109/FCCM.2009.32 |
| format | Conference Proceeding |
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| ispartof | 2009 17th IEEE Symposium on Field Programmable Custom Computing Machines, 2009, p.263-266 |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Acceleration Cameras Computational modeling Computer vision Eyes Field programmable gate arrays Hardware Machine vision Pixel Reconfigurable computing Stereo vision |
| title | A Parameterized Stereo Vision Core for FPGAs |
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