A real-time face recognition system using multiple mean faces and dual mode fisherfaces

J. Choi; S. Lee; C. Lee; J. Yi

A real-time face recognition system using multiple mean faces and dual mode fisherfaces

J. Choi
, S. Lee
, C. Lee
, J. Yi

Department of Electronic and Electrical Engineering

Sungkyunkwan University

Research output: Contribution to conference › Paper › peer-review

9 Scopus citations

Abstract

This research features an automatic face detection and recognition system. The purpose of the system is for access control to a building or an office. The main feature of the system is face detection and face recognition robust to illumination changes. A novel template matching technique using multiple mean faces (MMF) of various sizes, luminance, and rotations is employed to achieve robust face detection. The system is also capable of operating in two different modes for face recognition: under normal illumination condition and under severe illumination changes.

Original language	English
Pages	1686-1689
Number of pages	4
State	Published - 2001
Event	2001 IEEE International Symposium on Industrial Electronics Proceedings (ISIE 2001) - Pusan, Korea, Republic of Duration: 12 Jun 2001 → 16 Jun 2001

Conference

Conference	2001 IEEE International Symposium on Industrial Electronics Proceedings (ISIE 2001)
Country/Territory	Korea, Republic of
City	Pusan
Period	12/06/01 → 16/06/01

Cite this

@conference{18d19c0379334269ae8488d67d6f25dd,

title = "A real-time face recognition system using multiple mean faces and dual mode fisherfaces",

abstract = "This research features an automatic face detection and recognition system. The purpose of the system is for access control to a building or an office. The main feature of the system is face detection and face recognition robust to illumination changes. A novel template matching technique using multiple mean faces (MMF) of various sizes, luminance, and rotations is employed to achieve robust face detection. The system is also capable of operating in two different modes for face recognition: under normal illumination condition and under severe illumination changes.",

author = "J. Choi and S. Lee and C. Lee and J. Yi",

year = "2001",

language = "English",

pages = "1686--1689",

note = "2001 IEEE International Symposium on Industrial Electronics Proceedings (ISIE 2001) ; Conference date: 12-06-2001 Through 16-06-2001",

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TY - CONF

T1 - A real-time face recognition system using multiple mean faces and dual mode fisherfaces

AU - Choi, J.

AU - Lee, S.

AU - Lee, C.

AU - Yi, J.

PY - 2001

Y1 - 2001

N2 - This research features an automatic face detection and recognition system. The purpose of the system is for access control to a building or an office. The main feature of the system is face detection and face recognition robust to illumination changes. A novel template matching technique using multiple mean faces (MMF) of various sizes, luminance, and rotations is employed to achieve robust face detection. The system is also capable of operating in two different modes for face recognition: under normal illumination condition and under severe illumination changes.

AB - This research features an automatic face detection and recognition system. The purpose of the system is for access control to a building or an office. The main feature of the system is face detection and face recognition robust to illumination changes. A novel template matching technique using multiple mean faces (MMF) of various sizes, luminance, and rotations is employed to achieve robust face detection. The system is also capable of operating in two different modes for face recognition: under normal illumination condition and under severe illumination changes.

UR - https://www.scopus.com/pages/publications/0034838952

M3 - Paper

AN - SCOPUS:0034838952

SP - 1686

EP - 1689

T2 - 2001 IEEE International Symposium on Industrial Electronics Proceedings (ISIE 2001)

Y2 - 12 June 2001 through 16 June 2001

ER -

A real-time face recognition system using multiple mean faces and dual mode fisherfaces

Abstract

Conference

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