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. This implementation utilizes the Census Transform algorithm [1], [2] to calculate depth information from a pair of images delivered from a simulated stereo camera pair. This work advances [3] through implementation improvements, a stereo camera pair simulation framework, and a scalable stereo vision core.

• Type: Conference
• Year: 2009
• Where: FCCM
• Authors: Stephen Longfield Jr., Mark L. Chang
• Keywords: FCCM 2009, Hardware, Stereo Camera Pair, Stereo Vision, Stereo Vision Core