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A Parameterized Stereo Vision Core for FPGAs
  • Mark L. Chang, Franklin W. Olin College of Engineering
  • Stephen Longfield, Jr., Franklin W. Olin College of Engineering
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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.

© 2009 IEEE. This article was published in the 17th IEEE Symposium on Field Programmable Custom Computing Machines, pp. 263-266 and may be found here.

Citation Information
Mark L. Chang and Stephen Longfield. "A Parameterized Stereo Vision Core for FPGAs" (2009)
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