Circle your face in the Facebook

The main objective of this project is to be able to recognize a mass number of faces efficiently and accurately in the context of social network, Facebook. The Facebook’s application of automated face recognition in high quality digital photographs poses a challenge on the face detection algorithms....

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Main Author: Lim, Jing Kun.
Other Authors: Teoh Eam Khwang
Format: Final Year Project
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/54208
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-542082023-07-07T16:27:07Z Circle your face in the Facebook Lim, Jing Kun. Teoh Eam Khwang School of Electrical and Electronic Engineering DRNTU::Engineering The main objective of this project is to be able to recognize a mass number of faces efficiently and accurately in the context of social network, Facebook. The Facebook’s application of automated face recognition in high quality digital photographs poses a challenge on the face detection algorithms. This challenge will create potentially controversial upgrade and let users upload photographs as easy as possible based on facial recognition technology. Through the features extraction Local Binary Pattern and Local Derivative Pattern, and classification AdaBoost, with implementation of K-Nearest Neighbor and ROC Curve are fully exploited. Bachelor of Engineering 2013-06-14T08:36:42Z 2013-06-14T08:36:42Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/54208 en Nanyang Technological University 133 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
Lim, Jing Kun.
Circle your face in the Facebook
description The main objective of this project is to be able to recognize a mass number of faces efficiently and accurately in the context of social network, Facebook. The Facebook’s application of automated face recognition in high quality digital photographs poses a challenge on the face detection algorithms. This challenge will create potentially controversial upgrade and let users upload photographs as easy as possible based on facial recognition technology. Through the features extraction Local Binary Pattern and Local Derivative Pattern, and classification AdaBoost, with implementation of K-Nearest Neighbor and ROC Curve are fully exploited.
author2 Teoh Eam Khwang
author_facet Teoh Eam Khwang
Lim, Jing Kun.
format Final Year Project
author Lim, Jing Kun.
author_sort Lim, Jing Kun.
title Circle your face in the Facebook
title_short Circle your face in the Facebook
title_full Circle your face in the Facebook
title_fullStr Circle your face in the Facebook
title_full_unstemmed Circle your face in the Facebook
title_sort circle your face in the facebook
publishDate 2013
url http://hdl.handle.net/10356/54208
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