VoC: a reconfigurable matrix for stereo vision processing
Ricardo Pezzuol Jacobi, Renato Cardoso, Geovany A. Borges · 2006
This paper presents a reconfigurable matrix VoC that can be applied to stereo vision computation. VoC accel-erates block pixel matching by providing a highly par-allel implementation of the Sum of Absolute Differ-ences metric. Reconfigurability allows VoC to deal with different block sizes, ranging from a single 7x7 SAD computation to 9 simultaneous 5x5 block computations. The pipelined version mapped to Xilinx FPGA could be simulated at 158 MHz, producing 1,42 billion match-ings per second. 1.