Automatic model based face feature detection system

Jen Chew Wei; Li Minn Ang; Phooi Seng Kah

doi:10.1109/ITSIM.2008.4631696

Automatic model based face feature detection system

Jen Chew Wei, Li Minn Ang, Phooi Seng Kah

University of Nottingham

Research output: Book chapter/Published conference paper › Conference paper › peer-review

7 Citations (Scopus)

Abstract

Face recognition has become an important area of research in recent years, especially for security purposes. In this paper, we present a method to detect important features of the face for alignment purposes in a face recognition system. These features, which are the eye corners, mouth corners and nose tip, are detected using a combination of 2D and 3D images. The 2D image is used to locate the area of the eyes, mouth and nose while the 3D image is used to locate the exact point of the corners and tip. This method successfully detected the feature points at different face angles and is a fully automatic system.

Original language	English
Title of host publication	Proceedings - International Symposium on Information Technology 2008, ITSim
Volume	2
DOIs	https://doi.org/10.1109/ITSIM.2008.4631696
Publication status	Published - 12 Dec 2008
Event	International Symposium on Information Technology 2008, ITSim - Kuala Lumpur, Malaysia Duration: 26 Aug 2008 → 29 Aug 2008

Conference

Conference	International Symposium on Information Technology 2008, ITSim
Country/Territory	Malaysia
City	Kuala Lumpur
Period	26/08/08 → 29/08/08

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10.1109/ITSIM.2008.4631696

Cite this

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title = "Automatic model based face feature detection system",

abstract = "Face recognition has become an important area of research in recent years, especially for security purposes. In this paper, we present a method to detect important features of the face for alignment purposes in a face recognition system. These features, which are the eye corners, mouth corners and nose tip, are detected using a combination of 2D and 3D images. The 2D image is used to locate the area of the eyes, mouth and nose while the 3D image is used to locate the exact point of the corners and tip. This method successfully detected the feature points at different face angles and is a fully automatic system.",

author = "Wei, {Jen Chew} and Ang, {Li Minn} and Kah, {Phooi Seng}",

year = "2008",

month = dec,

day = "12",

doi = "10.1109/ITSIM.2008.4631696",

language = "English",

isbn = "9781424423286",

volume = "2",

booktitle = "Proceedings - International Symposium on Information Technology 2008, ITSim",

note = "International Symposium on Information Technology 2008, ITSim ; Conference date: 26-08-2008 Through 29-08-2008",

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T1 - Automatic model based face feature detection system

AU - Wei, Jen Chew

AU - Ang, Li Minn

AU - Kah, Phooi Seng

PY - 2008/12/12

Y1 - 2008/12/12

N2 - Face recognition has become an important area of research in recent years, especially for security purposes. In this paper, we present a method to detect important features of the face for alignment purposes in a face recognition system. These features, which are the eye corners, mouth corners and nose tip, are detected using a combination of 2D and 3D images. The 2D image is used to locate the area of the eyes, mouth and nose while the 3D image is used to locate the exact point of the corners and tip. This method successfully detected the feature points at different face angles and is a fully automatic system.

AB - Face recognition has become an important area of research in recent years, especially for security purposes. In this paper, we present a method to detect important features of the face for alignment purposes in a face recognition system. These features, which are the eye corners, mouth corners and nose tip, are detected using a combination of 2D and 3D images. The 2D image is used to locate the area of the eyes, mouth and nose while the 3D image is used to locate the exact point of the corners and tip. This method successfully detected the feature points at different face angles and is a fully automatic system.

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U2 - 10.1109/ITSIM.2008.4631696

DO - 10.1109/ITSIM.2008.4631696

M3 - Conference paper

AN - SCOPUS:57349102442

SN - 9781424423286

VL - 2

BT - Proceedings - International Symposium on Information Technology 2008, ITSim

T2 - International Symposium on Information Technology 2008, ITSim

Y2 - 26 August 2008 through 29 August 2008

ER -

Automatic model based face feature detection system

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