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Journal of Electronic Imaging

Hardware architecture for projective model calculation and false match refining using random sample consensus algorithm
Author(s): Ehsan Azimi; Alireza Behrad; Mohammad Bagher Ghaznavi-Ghoushchi; Jamshid Shanbehzadeh
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Paper Abstract

The projective model is an important mapping function for the calculation of global transformation between two images. However, its hardware implementation is challenging because of a large number of coefficients with different required precisions for fixed point representation. A VLSI hardware architecture is proposed for the calculation of a global projective model between input and reference images and refining false matches using random sample consensus (RANSAC) algorithm. To make the hardware implementation feasible, it is proved that the calculation of the projective model can be divided into four submodels comprising two translations, an affine model and a simpler projective mapping. This approach makes the hardware implementation feasible and considerably reduces the required number of bits for fixed point representation of model coefficients and intermediate variables. The proposed hardware architecture for the calculation of a global projective model using the RANSAC algorithm was implemented using Verilog hardware description language and the functionality of the design was validated through several experiments. The proposed architecture was synthesized by using an application-specific integrated circuit digital design flow utilizing 180-nm CMOS technology as well as a Virtex-6 field programmable gate array. Experimental results confirm the efficiency of the proposed hardware architecture in comparison with software implementation.

Paper Details

Date Published: 5 December 2016
PDF: 15 pages
J. Electron. Imaging. 25(6) 063014 doi: 10.1117/1.JEI.25.6.063014
Published in: Journal of Electronic Imaging Volume 25, Issue 6
Show Author Affiliations
Ehsan Azimi, Islamic Azad Univ. (Iran, Islamic Republic of)
Alireza Behrad, Shahed Univ. (Iran, Islamic Republic of)
Mohammad Bagher Ghaznavi-Ghoushchi, Shahed Univ. (Iran, Islamic Republic of)
Jamshid Shanbehzadeh, Kharazmi Univ. (United States)


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