Compressive image feature extraction by means of folding
Name
824151491-MIT.pdf
Description
Full printable version
Size
1.16 MB
Format
Adobe PDF
Checksum (MD5)
b1fc57815104090ada6377ac4268269c
Author(s)
Gardiner, Brian Calvin
Advisor(s)
Christopher Yu and Piotr Indyk.
Date Issued
2012
Publisher
Massachusetts Institute of Technology
Abstract
We explore the utility of a dimensionality reducing process we term folding for the purposes of image feature extraction. We seek to discover whether image features are preserved under this process and how to efficiently extract them. The application is in size weight and power constrained imaging scenarios where an efficient implementation of this dimensionality reduction can save power and computation costs. The specific features we explore are image corners, rotation, and translation. We present algorithms for recovering these features from folded representations of images followed by simulation results showing the performance of the algorithms when operating on real images.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (p. 61-62).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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reproduction or distribution in any format is prohibited without written
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