2019/03/08 by David Castells‐Rufas, Castells-Rufas, David, Jordi Carrabina +1
Computer Science · Engineering · Neuroscience · #Advanced Data Storage Technologies #Advanced Memory and Neural Computing #CCD and CMOS Imaging Sensors #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Neural dynamics and brain function
paper · pdf · doi:10.48550/arxiv.1903.03509
openalex publication_date 2019/03/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Although event-based cameras are already commercially available. Vision\nalgorithms based on them are still not common. As a consequence, there are few\nHardware Accelerators for them. In this work we present some experiments to\ncreate FPGA accelerators for a well-known vision algorithm using event-based\ncameras. We present a stereo matching algorithm to create a stream of disparity\nevents disparity map and implement several accelerators using the Intel FPGA\nOpenCL tool-chain. The results show that multiple designs can be easily tested\nand that a performance speedup of more than 8x can be achieved with simple code\ntransformations.\n