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Shoreface dynamics: evidence from bathymetry and surficial sediments
Title
Shoreface dynamics: evidence from bathymetry and surficial sediments.
Creator
Liu, James T., Zarillo, Gary A., Harbor Branch Oceanographic Institute
Date Issued
1990
PURL
http://purl.flvc.org/FCLA/DT/3353849
Subject Headings
Submarine topography, Sediment, Eigenfunctions, Shorelines
Format
Document (PDF)
novel face recognition transformational model and its inherent and optimal classification through a computationally efficient statistical algorithm
Title
A novel face recognition transformational model and its inherent and optimal classification through a computationally efficient statistical algorithm.
Creator
Kyperountas, Marios C., Florida Atlantic University, Erdol, Nurgun, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
This thesis is concerned with the development of a new face recognition method that has a high recognition performance and is computationally efficient, so that it can be applied to real time processes. A background research is presented, summarizing the most dominant face recognition methods, with an emphasis to the most popular statistical method, the 'Eigenfaces'. Initially, a new algorithm is developed based only on the computational efficiency criterion. It is simulated, and criterions...
Show moreThis thesis is concerned with the development of a new face recognition method that has a high recognition performance and is computationally efficient, so that it can be applied to real time processes. A background research is presented, summarizing the most dominant face recognition methods, with an emphasis to the most popular statistical method, the 'Eigenfaces'. Initially, a new algorithm is developed based only on the computational efficiency criterion. It is simulated, and criterions for achieving higher recognition rates are experimentally and theoretically determined. A new space transform is introduced, which enhances the algorithm's recognition capabilities. Its optimum classification measure is mathematically proven to be one that is inherently provided by the new face recognition algorithm. Finally, the developed method is evaluated, and experimentally compared against the 'Eigenfaces' method, using face data.
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Date Issued
2003
PURL
http://purl.flvc.org/fcla/dt/13034
Subject Headings
Human face recognition (Computer science), Eigenfunctions
Format
Document (PDF)