SOC for Image Processing Using SIFT Accelerator (Record no. 236667)

MARC details
000 -LEADER
fixed length control field 01208nam a2200145Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number CPEC19-1946
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Akshatha V Murthy. B Rajeshwari.
245 #0 - TITLE STATEMENT
Title SOC for Image Processing Using SIFT Accelerator
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2019
500 ## - GENERAL NOTE
General note Document Embedding Generation for Cyber-Aggressive Comment Detection using Supervised Machine Learning Approach Shylaja, S S. Abhishek Narayanan. Abhijith Venugopal. Abhishek Prasad.
510 ## - CITATION/REFERENCES NOTE
Name of source In this paper, we have implemented System on Chip (SoC) for SIFT algorithm by integrating designed and library IPs. In this algorithm, we have verified for feature transforms like rotation, intensity increase and decrease. The key points are detected for the given image and compared with that of transformed images. The key point matching achieved is up to 99.8%. It is also verified that Scale Invariant Feature Transform (SIFT) algorithm works for any image format. The algorithm is implemented in Xilinx model composer and then it is converted to Xilinx system generator block for Field Programable Gate Arrays (FPGA) implementation. FPGA used is Zynq-7000 xc7z020clg484-1.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Institutional repository
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Date last seen Total checkouts Full call number Accession number Uniform resource identifier Price effective from Category Lost status Damaged status Department Withdrawn status Home library Current library Shelving location Entry date Grants Currency symbol Conversion rate Discount
26/01/2024   CPEC19-1946 IR1946 https://ieeexplore.ieee.org/document/9030311 26/01/2024 Institutional repository     Central Library   Central Library Central Library Central Library   EC RS 1  

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