Nick Ni, Senior Product Manager for SDSoC and Embedded Vision at Xilinx, presents the "OpenCV on Zynq: Accelerating 4k60 Dense Optical Flow and Stereo Vision" tutorial at the May 2017 Embedded Vision Summit.
OpenCV libraries are widely used for algorithm prototyping by many leading technology companies and computer vision researchers. FPGAs can achieve unparalleled compute efficiency on complex algorithms like dense optical flow and stereo vision in only a few watts of power. However, unlocking these capabilities traditionally required hardware design expertise and use of languages like Verilog and VHDL. In this talk, Xilinx presents a new approach that enables designers to unleash the power of FPGAs using hardware-tuned OpenCV libraries, a familiar C/C++ development environment, and readily available hardware development platforms.
