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Lecture Notes in Computer Science
Over the past two decades, the use of low power Field Programmable Gate Arrays (FPGA) for the acceleration of various vision systems mainly on embedded devices have become widespread. The reconfigurable and parallel nature of the FPGA opens up new opportunities to speed-up computationally intensive vision and neural algorithms on embedded and portable devices. This paper presents a comprehensive review of embedded vision algorithms and applications over the past decade. The review will discussdoi:10.1007/978-3-319-78890-6_17 fatcat:kqnrlm75nzgcxhlcitijhwjk2m