Face detection and authentication

Face detection and authentication

Automatic human face detection has always been a critical part of systems that require user visual interactions, especially face recognition systems. It has drawn great attention in the field of computer vision and image processing. In this thesis, we present a fast and reliable face detection syste...

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Main Author: Wang, Wei.
Other Authors: Gao, Yongsheng
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Online Access:http://hdl.handle.net/10356/2524
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-2524
record_format dspace
spelling sg-ntu-dr.10356-25242023-03-04T00:29:00Z Face detection and authentication Wang, Wei. Gao, Yongsheng School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition Automatic human face detection has always been a critical part of systems that require user visual interactions, especially face recognition systems. It has drawn great attention in the field of computer vision and image processing. In this thesis, we present a fast and reliable face detection system using generalized symmetry map and Support Vector Machines to tackle the most difficult case in face detection, that is, detecting faces in a gray scale image without using color and/or motion information. Master of Engineering (SCE) 2008-09-17T09:04:44Z 2008-09-17T09:04:44Z 2003 2003 Thesis http://hdl.handle.net/10356/2524 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Wang, Wei.
Face detection and authentication
description Automatic human face detection has always been a critical part of systems that require user visual interactions, especially face recognition systems. It has drawn great attention in the field of computer vision and image processing. In this thesis, we present a fast and reliable face detection system using generalized symmetry map and Support Vector Machines to tackle the most difficult case in face detection, that is, detecting faces in a gray scale image without using color and/or motion information.
author2 Gao, Yongsheng
author_facet Gao, Yongsheng
Wang, Wei.
format Theses and Dissertations
author Wang, Wei.
author_sort Wang, Wei.
title Face detection and authentication
title_short Face detection and authentication
title_full Face detection and authentication
title_fullStr Face detection and authentication
title_full_unstemmed Face detection and authentication
title_sort face detection and authentication
publishDate 2008
url http://hdl.handle.net/10356/2524
_version_ 1759855394786639872

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