Stereo image correspondence methods for efficient hardware implementation
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Authors
Ulis, Bradley J.
Subjects
Advisors
Cristi, Roberto
Date of Issue
2010-06
Date
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
In this thesis, depth information extraction via ordinal measures for logical pattern correlation is investigated, along with matching techniques that translate well into hardware implementations. First, the ordinal correspondence metric is evaluated for complexity and performance using traditional correspondence matching techniques. The results show that the ordinal measures are very robust in stereo correspondence when paired with modest error handling techniques. Second, the ordinal measures are applied to an efficient dynamic programming matching algorithm to produce high-quality disparity maps. It is shown that ordinal measures are demonstrably fast in software and that they can be adapted to an extremely fast hardware implementation to produce high quality disparity maps for very high resolution images in real time.
Type
Thesis
Description
Series/Report No
Department
Electrical Engineering
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
xvi, 79 p. : ill. ;
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.