DocumentCode :
152768
Title :
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 :
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