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
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;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
DOI :
10.1109/SIU.2014.6830526