Real time object recognition using SIFT algorithm on FPGA

Author

Guven, Sinem ; Alkar, Ali Ziya

Author_Institution

Sayisal Tasarim Bolumu, RST Teknoloji, Ankara, Turkey

fYear

2014

fDate

23-25 April 2014

Firstpage

1503

Lastpage

1506

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.

Keywords

feature extraction; field programmable gate arrays; object recognition; FPGA; SIFT algorithm; algorithm performance; field programmable gate array; orientation invariance; realtime object recognition; scale invariance; scale invariant feature transform; Conferences; Field programmable gate arrays; Kernel; Object recognition; Signal processing; Signal processing algorithms; Three-dimensional displays;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications Conference (SIU), 2014 22nd

Conference_Location

Trabzon

Type

conf

DOI

10.1109/SIU.2014.6830526

Filename

6830526

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=152768