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https://hdl.handle.net/10356/4323
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gu, Qian. | en_US |
dc.date.accessioned | 2008-09-17T09:49:16Z | - |
dc.date.available | 2008-09-17T09:49:16Z | - |
dc.date.copyright | 2002 | en_US |
dc.date.issued | 2002 | - |
dc.identifier.uri | http://hdl.handle.net/10356/4323 | - |
dc.description.abstract | This thesis provides accurate and reliable algorithms for face detection, recognition and tracking. The automated system for face recognition and tracking, developed in this work, can be used for application in security, camera-based surveillance, video communication and teleconference. | en_US |
dc.rights | Nanyang Technological University | en_US |
dc.subject | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics | - |
dc.title | Design and implementation of an automated face detection and recognition system | en_US |
dc.type | Thesis | en_US |
dc.contributor.supervisor | Teoh, Eam Khwang | en_US |
dc.contributor.school | School of Electrical and Electronic Engineering | en_US |
dc.description.degree | Master of Engineering | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | restricted | - |
Appears in Collections: | EEE Theses |
Files in This Item:
File | Description | Size | Format | |
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EEE-THESES_369.pdf Restricted Access | 7.7 MB | Adobe PDF | View/Open |
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