Real Time Object Recognition Using SIFT Algorithm on FPGA

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

SIFT (Scale Invariant Feature Transform) is an algorithm commonly used in object recognition applications. The main advantage of SIFT algorithm is its scale and orientation invariance. Processes in SIFT algorithm require high processing power. But these processes can be parallelized which allow high speed increase in algorithm performance. In this report, we discuss the work performed on parallelizing and speeding up of SIFT algorithm using FPGA.
Original languageTurkish
Title of host publication2014 22nd Signal Processing And Communications Applications Conference (siu)
PublisherIEEE Canada
Pages1503-1506
Number of pages4
ISBN (Electronic)978-1-4799-4874-1
Publication statusPublished - 2014
Event22nd IEEE Signal Processing and Communications Applications Conference (SIU) - Trabzon, Turkey
Duration: 23 Apr 201425 Apr 2014

Publication series

NameSignal Processing And Communications Applications Conference

Conference

Conference22nd IEEE Signal Processing and Communications Applications Conference (SIU)
Country/TerritoryTurkey
CityTrabzon
Period23/04/1425/04/14

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