Using FPGAs to perform embedded image registration

Abstract

Image registration is the process of relating the intensity values of one image to another image using their pixel c~?tent alone. An example use of this technique is to create panoramas from individual images taken froin a rotating camera. A class of image registration algorithms, known as direct registration methods, uses intensity derivatives to iteratively estimate the parameters modeling the transformation between the images. Direct methods are known for their sub-pixel accurate results; however, their execution is computationally expensive, often times preventing use in an embedded capacity like those encountered in small UIUllann~d aerial vehicle or mobile phone applications. In this work, a high performance FPGA-based direct affine image registration core is presented. The proposed method combines two features: a fully pipelined architecture to compute the linear system of equations, and a Gaussian elimination module, implemented as a finite state machine, to solve the resulting linear system. The design is implemented on a Xilinx ML506 development board featuring a Virtex-5 SX50 FPGA, zero bus turn-around (ZBT) RAM, and VGA input. Experimentation is performed on both real and synthetic data. The registration core performs in excess of 80 frames per second on 640x480 images using one registration iteration.

Notes

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Thesis Completion

2009

Semester

Spring

Advisor

Shah, Mubarak

Degree

Bachelor of Science (B.S.)

College

College of Engineering and Computer Science

Degree Program

Computer Engineering

Subjects

Dissertations, Academic -- Engineering and Computer Science;Engineering and Computer Science -- Dissertations, Academic

Format

Print

Identifier

DP0022415

Language

English

Access Status

Open Access

Length of Campus-only Access

None

Document Type

Honors in the Major Thesis

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