Face recognition II

In this final report, its objective is to examine and study the Open Computer Vision (OpenCV) techniques such as PCA using Visual Studio C# programming language and develop a simple Graphic User Interface (GUI) that assures system perform reliably with an input camera to perform live face detection...

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Main Author: Mok, Valerie Hui Fang
Other Authors: Chua Chin Seng
Format: Final Year Project
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/67790
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-677902023-07-07T16:09:07Z Face recognition II Mok, Valerie Hui Fang Chua Chin Seng School of Electrical and Electronic Engineering DRNTU::Engineering In this final report, its objective is to examine and study the Open Computer Vision (OpenCV) techniques such as PCA using Visual Studio C# programming language and develop a simple Graphic User Interface (GUI) that assures system perform reliably with an input camera to perform live face detection and recognition. The report will be covering on the study of various methods that can be applied on face recognition, the development of face detection and recognition with the appropriate design and system, and also to further test and evaluate the various test carried out to produce an accurate development. Bachelor of Engineering 2016-05-20T07:59:50Z 2016-05-20T07:59:50Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/67790 en Nanyang Technological University 51 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
spellingShingle DRNTU::Engineering
Mok, Valerie Hui Fang
Face recognition II
description In this final report, its objective is to examine and study the Open Computer Vision (OpenCV) techniques such as PCA using Visual Studio C# programming language and develop a simple Graphic User Interface (GUI) that assures system perform reliably with an input camera to perform live face detection and recognition. The report will be covering on the study of various methods that can be applied on face recognition, the development of face detection and recognition with the appropriate design and system, and also to further test and evaluate the various test carried out to produce an accurate development.
author2 Chua Chin Seng
author_facet Chua Chin Seng
Mok, Valerie Hui Fang
format Final Year Project
author Mok, Valerie Hui Fang
author_sort Mok, Valerie Hui Fang
title Face recognition II
title_short Face recognition II
title_full Face recognition II
title_fullStr Face recognition II
title_full_unstemmed Face recognition II
title_sort face recognition ii
publishDate 2016
url http://hdl.handle.net/10356/67790
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