Face recognition with accessories using Eigenfaces

This study uses a dataset of unoccluded faces for training to examine the effectiveness of using an eigenface approach to identify faces covered by accessories, particularly sunglasses. The robustness of the eigenface method against partial face occlusion is assessed using principal component analys...

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Main Author: Toh, Safarudin Wilyam
Other Authors: Anamitra Makur
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/176949
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1769492024-05-24T15:44:16Z Face recognition with accessories using Eigenfaces Toh, Safarudin Wilyam Anamitra Makur School of Electrical and Electronic Engineering EAMakur@ntu.edu.sg Engineering Eigenfaces This study uses a dataset of unoccluded faces for training to examine the effectiveness of using an eigenface approach to identify faces covered by accessories, particularly sunglasses. The robustness of the eigenface method against partial face occlusion is assessed using principal component analysis, a method often employed in the field of computer vision to perform successful human face detection. This project intends to show that the suggested face recognition system can correctly identify a person regardless of the presence of accessories, for people who are part of the training set. In contrast, it should be able to classify faces that are absent from the training set as unauthorized with reasonable accuracy. Bachelor's degree 2024-05-23T07:53:48Z 2024-05-23T07:53:48Z 2024 Final Year Project (FYP) Toh, S. W. (2024). Face recognition with accessories using Eigenfaces. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176949 https://hdl.handle.net/10356/176949 en A3008-231 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
Eigenfaces
spellingShingle Engineering
Eigenfaces
Toh, Safarudin Wilyam
Face recognition with accessories using Eigenfaces
description This study uses a dataset of unoccluded faces for training to examine the effectiveness of using an eigenface approach to identify faces covered by accessories, particularly sunglasses. The robustness of the eigenface method against partial face occlusion is assessed using principal component analysis, a method often employed in the field of computer vision to perform successful human face detection. This project intends to show that the suggested face recognition system can correctly identify a person regardless of the presence of accessories, for people who are part of the training set. In contrast, it should be able to classify faces that are absent from the training set as unauthorized with reasonable accuracy.
author2 Anamitra Makur
author_facet Anamitra Makur
Toh, Safarudin Wilyam
format Final Year Project
author Toh, Safarudin Wilyam
author_sort Toh, Safarudin Wilyam
title Face recognition with accessories using Eigenfaces
title_short Face recognition with accessories using Eigenfaces
title_full Face recognition with accessories using Eigenfaces
title_fullStr Face recognition with accessories using Eigenfaces
title_full_unstemmed Face recognition with accessories using Eigenfaces
title_sort face recognition with accessories using eigenfaces
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/176949
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