A Comparison of FPGA and GPU for Real-Time Phase-Based Optical Flow, Stereo, and Local Image Features
Issue No.07 - July (2012 vol.61)
Karl Pauwels , K.U.Leuven, Leuven
Matteo Tomasi , University of Granada, Granada
Javier Díaz , University of Granada, Granada
Eduardo Ros , University of Granada, Granada
Marc M. Van Hulle , K.U.Leuven, Leuven
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TC.2011.120
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.
Reconfigurable hardware, graphics processors, real-time systems, computer vision, motion, stereo.
Karl Pauwels, Matteo Tomasi, Javier Díaz, Eduardo Ros, Marc M. Van Hulle, "A Comparison of FPGA and GPU for Real-Time Phase-Based Optical Flow, Stereo, and Local Image Features", IEEE Transactions on Computers, vol.61, no. 7, pp. 999-1012, July 2012, doi:10.1109/TC.2011.120