Title
FPGA implementation of the RANSAC based image mosaicing algorithm using the Nios II softcore
Abstract
Image mosaicing is a powerful mean for obtaining a larger view of a scene than the available within a human eyes view or compact camera view. Homography matrix is the most suitable transformation model which is needed to create mosaiced images, and the estimation of the parameters of that model using RANSAC (Random Sample Consensus) is a key step in feature matching as it improves the stability of image registration, because it can estimate the parameters of homography matrix with a high degree of accuracy. In this paper a general framework for creating an image mosaic is illustrated and a RANSAC based image mosaicing algorithm will be implemented on FPGA using the configurable softcore processor “Nios II” which is synthesized on the Altera FPGA device.
Year
DOI
Venue
2016
10.1109/IWSSIP.2016.7502722
2016 International Conference on Systems, Signals and Image Processing (IWSSIP)
Keywords
Field
DocType
Image mosaicing,RANSAC,FPGA,Nios II
Computer science,Homography,Artificial intelligence,Nios II,Homography (computer vision),Computer vision,Pattern recognition,RANSAC,Field-programmable gate array,Algorithm,Feature extraction,Feature matching,Image registration
Conference
ISSN
Citations 
PageRank 
2157-8672
0
0.34
References 
Authors
2
5
Name
Order
Citations
PageRank
Zouhir Irki100.34
Abdelhai Lati200.34
Samir Sakhi300.34
abdelkrim nemra435.25
M. Hamerlain54111.28