A Comparison of FPGA and GPU for Real-Time Phase-Based Optical Flow, Stereo, and Local Image Features

作者：Pauwels Karl^*; Tomasi Matteo; Diaz Javier; Ros Eduardo; Van Hulle Marc M

来源：IEEE Transactions on Computers, 2012, 61(7): 999-1012.

DOI：10.1109/TC.2011.120

• Reconfigurable hardware
• graphics processors
• real-time systems
• computer vision
• motion
• stereo

Low-level computer vision algorithms have extreme computational requirements. In this work, we compare two real-time architectures developed using FPGA and GPU devices for the computation of phase-based optical flow, stereo, and local image features (energy, orientation, and phase). The presented approach requires a massive degree of parallelism to achieve real-time performance and allows us to compare FPGA and GPU design strategies and trade-offs in a much more complex scenario than previous contributions. Based on this analysis, we provide suggestions to real-time system designers for selecting the most suitable technology, and for optimizing system development on this platform, for a number of diverse applications.

• 出版日期2012-7