PCA in face recognition : analysis of implementation and performance

PCA in face recognition : analysis of implementation and performance

This report presents the complete process of face recognition from theory to implementation and testing. The first part describes mathematical method Principal Component Analysis. PCA adaptation for face recognition, Eigenfaces method is presented in the next part. Its implementation and source code...

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Main Author: Akhmetov Dauren
Other Authors: Wang Han
Format: Final Year Project
Language:English
Published: 2011
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:http://hdl.handle.net/10356/44676
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-446762023-07-07T15:49:00Z PCA in face recognition : analysis of implementation and performance Akhmetov Dauren Wang Han School of Electrical and Electronic Engineering Robotics Research Centre DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems This report presents the complete process of face recognition from theory to implementation and testing. The first part describes mathematical method Principal Component Analysis. PCA adaptation for face recognition, Eigenfaces method is presented in the next part. Its implementation and source code are described in detail with graphical representations and diagrams. The conducted experiments on its performance are given to prove its efficiency. Literature review in the last part presents the comparison of PCA and other method used for face recognition. Bachelor of Engineering 2011-06-03T01:51:41Z 2011-06-03T01:51:41Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/44676 en Nanyang Technological University 66 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Akhmetov Dauren
PCA in face recognition : analysis of implementation and performance
description This report presents the complete process of face recognition from theory to implementation and testing. The first part describes mathematical method Principal Component Analysis. PCA adaptation for face recognition, Eigenfaces method is presented in the next part. Its implementation and source code are described in detail with graphical representations and diagrams. The conducted experiments on its performance are given to prove its efficiency. Literature review in the last part presents the comparison of PCA and other method used for face recognition.
author2 Wang Han
author_facet Wang Han
Akhmetov Dauren
format Final Year Project
author Akhmetov Dauren
author_sort Akhmetov Dauren
title PCA in face recognition : analysis of implementation and performance
title_short PCA in face recognition : analysis of implementation and performance
title_full PCA in face recognition : analysis of implementation and performance
title_fullStr PCA in face recognition : analysis of implementation and performance
title_full_unstemmed PCA in face recognition : analysis of implementation and performance
title_sort pca in face recognition : analysis of implementation and performance
publishDate 2011
url http://hdl.handle.net/10356/44676
_version_ 1772826884981129216

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