Distance function applications of object comparison in artificial vision systems
"In this work, we focus on the use of metrics on hyperspaces of two-dimensional continua to enrich the understanding of sight by modeling more of the vision process mathematically. Specifically, we address the topic of object comparison. How can a vision system distinguish between a coffee table and a basketball? Scientists disagree on the answer to this question. In this study, we focus on methods for object comparison using distance functions that work independently of the usual coordinate systems because the intended application is a biologically based robotic vision system, and coordinate-based computations are too slow and unwieldy to accurately model actual biological vision systems"--Abstract, leaf iii.
Gadbury, Gary L.
Mathematics and Statistics
M.S. in Applied Mathematics
University of Missouri--Rolla
viii, 106 leaves
© 2006 Christina Michelle Ayres, All rights reserved.
Thesis - Citation
Library of Congress Subject Headings
Object-oriented programming (Computer science)
Optical pattern recognition
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Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.http://laurel.lso.missouri.edu/record=b5771779~S5
Ayres, Christina Michelle, "Distance function applications of object comparison in artificial vision systems" (2006). Masters Theses. 3856.
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