Graph embedding techniques in face verification

Face verification system comprises three operational components: preprocessing module, feature extraction/ dimensionality reduction module and verification module. In this study, the dimensionality reduction process is focused. The acquired facial data is usually represented in a high dimensional ve...

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Bibliographic Details
Main Author:	Pang, Ying Han
Format:	Thesis
Published:	2012
Subjects:	QA75.5-76.95 Electronic computers Computer science
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id	my-mmu-ep.5521
record_format	uketd_dc
spelling	my-mmu-ep.55212017-01-05T03:59:45Z Graph embedding techniques in face verification 2012-09 Pang, Ying Han QA75.5-76.95 Electronic computers. Computer science Face verification system comprises three operational components: preprocessing module, feature extraction/ dimensionality reduction module and verification module. In this study, the dimensionality reduction process is focused. The acquired facial data is usually represented in a high dimensional vector carrying highly redundant data. In fact, its discriminative features are embedded on a much lower dimensional manifold. Hence, dimensionality reduction is the crucial module to extract representative features from the face data. There are two important considerations in designing a dimensionality reduction technique in face verification: (1) how to effectively exploit the limited available training samples?And (2) how to seek the most discriminative facial feature representations? Graph embedding approach, which is also known as linearization of graph embedding, is a relatively new emerging technique in dimensionality reduction process. This approach seeks underlying data structures by modelling local manifold structure based on data similarities on an affinity graph via manifold preserving criterion. In this thesis, three graph embedding techniques are proposed for face verification. 2012-09 Thesis http://shdl.mmu.edu.my/5521/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php phd doctoral Multimedia University Faculty of Information Science and Technology
institution	Multimedia University
collection	MMU Institutional Repository
topic	QA75.5-76.95 Electronic computers Computer science
spellingShingle	QA75.5-76.95 Electronic computers Computer science Pang, Ying Han Graph embedding techniques in face verification
description	Face verification system comprises three operational components: preprocessing module, feature extraction/ dimensionality reduction module and verification module. In this study, the dimensionality reduction process is focused. The acquired facial data is usually represented in a high dimensional vector carrying highly redundant data. In fact, its discriminative features are embedded on a much lower dimensional manifold. Hence, dimensionality reduction is the crucial module to extract representative features from the face data. There are two important considerations in designing a dimensionality reduction technique in face verification: (1) how to effectively exploit the limited available training samples?And (2) how to seek the most discriminative facial feature representations? Graph embedding approach, which is also known as linearization of graph embedding, is a relatively new emerging technique in dimensionality reduction process. This approach seeks underlying data structures by modelling local manifold structure based on data similarities on an affinity graph via manifold preserving criterion. In this thesis, three graph embedding techniques are proposed for face verification.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Pang, Ying Han
author_facet	Pang, Ying Han
author_sort	Pang, Ying Han
title	Graph embedding techniques in face verification
title_short	Graph embedding techniques in face verification
title_full	Graph embedding techniques in face verification
title_fullStr	Graph embedding techniques in face verification
title_full_unstemmed	Graph embedding techniques in face verification
title_sort	graph embedding techniques in face verification
granting_institution	Multimedia University
granting_department	Faculty of Information Science and Technology
publishDate	2012
_version_	1747829578018062336

Graph embedding techniques in face verification

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