A high performance HW accelerator is proposed to extract and refine the Interest Points from images, by accurately calculating the Difference-of-Gaussian and using refinement algorithms from the SIFT method. Unique features of the accelerator consist in an accuracy comparable to the CDVS Test Model, reference software; in the capability to process the incoming pixel in streaming order to minimize the amount of embedded memory and avoid external frame buffers; in the possibility to configure the processor with different area/speed ratios. FPGA synthesis on a Xilinx XC7V2000T returns a maximum operation frequency up of 309 MHz at the fastest corner. Standard cell synthesis with the STMICROELECTRONICS FDSOI 28 nm technology, de-congestioned by the use of DPREG memories in place of SRAM, gives a maximum frequency of 1.2 GHz and a power dissipation of about 1 W at the typical conditions.

Frame buffer-less stream processor for accurate real-time interest point detection

LICCIARDO, GIAN DOMENICO;DI BENEDETTO, LUIGI
2016

Abstract

A high performance HW accelerator is proposed to extract and refine the Interest Points from images, by accurately calculating the Difference-of-Gaussian and using refinement algorithms from the SIFT method. Unique features of the accelerator consist in an accuracy comparable to the CDVS Test Model, reference software; in the capability to process the incoming pixel in streaming order to minimize the amount of embedded memory and avoid external frame buffers; in the possibility to configure the processor with different area/speed ratios. FPGA synthesis on a Xilinx XC7V2000T returns a maximum operation frequency up of 309 MHz at the fastest corner. Standard cell synthesis with the STMICROELECTRONICS FDSOI 28 nm technology, de-congestioned by the use of DPREG memories in place of SRAM, gives a maximum frequency of 1.2 GHz and a power dissipation of about 1 W at the typical conditions.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/4663117
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