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Newton-Raphson and Goldschmidt algorithms can be sped up by using variable latency hardware architectures for rounding division, square root and their reciprocals. A new approach based on a rounding method with remainder estimate calculated concurrently with the algorithm was proposed in [5]. This paper presents an study of the hardware implementation of this approach and shows that does not suppose...
The proposed work presents a highly parallel architecture for motion estimation. Our system implements the well-known Lucas and Kanade algorithm with the multi-scale extension for the computation of large motion estimations in a dedicated device [field-programmable gate array (FPGA)]. Our system achieves 270 frames per second for a 640 480 resolution in the best case of the mono-scale implementation...
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