Optimal decision fusion for verification of face sequences

Q. Tao

Optimal decision fusion for verification of face sequences

Q. Tao

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

13 Downloads (Pure)

Abstract

Face sequence contains more information of the user than a single face image. In this paper, optimal decision fusion is proposed to verify the face sequences, based on the original verification system for a single face image. We show by experiments that optimal decision fusion is a simple but effective approach, and that the performance of the original verification system can be significantly boosted by introducing face sequences and applying optimal decision fusion on them.

Original language	Undefined
Title of host publication	Proceedings of the 28th Symposium on Information Theory in the Benelux
Editors	Raymond N.J. Veldhuis, R.N.J. Veldhuis, H.S. Cronie
Place of Publication	Eindhoven
Publisher	Werkgemeenschap voor Informatie- en Communicatietheorie (WIC)
Pages	297-303
Number of pages	7
ISBN (Print)	978-90-365-2509-1
Publication status	Published - 24 May 2007
Event	28th Symposium on Information Theory in the Benelux 2007 - Best Western Dish Hotel, Enschede, Netherlands Duration: 24 May 2007 → 25 May 2007 Conference number: 28

Publication series

Name
Publisher	Werkgemeenschap voor Informatie- en Communicatietechniek
Number	LNCS4549

Conference

Conference	28th Symposium on Information Theory in the Benelux 2007
Country	Netherlands
City	Enschede
Period	24/05/07 → 25/05/07

Keywords

SCS-Safety
IR-61880
METIS-241833
EWI-10857

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Cite this

@inproceedings{8463006287b34f3caed2c1b42fe4cf09,

title = "Optimal decision fusion for verification of face sequences",

abstract = "Face sequence contains more information of the user than a single face image. In this paper, optimal decision fusion is proposed to verify the face sequences, based on the original verification system for a single face image. We show by experiments that optimal decision fusion is a simple but effective approach, and that the performance of the original verification system can be significantly boosted by introducing face sequences and applying optimal decision fusion on them.",

keywords = "SCS-Safety, IR-61880, METIS-241833, EWI-10857",

author = "Q. Tao",

year = "2007",

month = may,

day = "24",

language = "Undefined",

isbn = "978-90-365-2509-1",

publisher = "Werkgemeenschap voor Informatie- en Communicatietheorie (WIC)",

number = "LNCS4549",

pages = "297--303",

editor = "Veldhuis, {Raymond N.J.} and R.N.J. Veldhuis and H.S. Cronie",

booktitle = "Proceedings of the 28th Symposium on Information Theory in the Benelux",

address = "Netherlands",

note = "null ; Conference date: 24-05-2007 Through 25-05-2007",

}

Tao, Q 2007, Optimal decision fusion for verification of face sequences. in RNJ Veldhuis, RNJ Veldhuis & HS Cronie (eds), Proceedings of the 28th Symposium on Information Theory in the Benelux. Werkgemeenschap voor Informatie- en Communicatietheorie (WIC), Eindhoven, pp. 297-303, 28th Symposium on Information Theory in the Benelux 2007, Enschede, Netherlands, 24/05/07.

Optimal decision fusion for verification of face sequences. / Tao, Q.

Proceedings of the 28th Symposium on Information Theory in the Benelux. ed. / Raymond N.J. Veldhuis; R.N.J. Veldhuis; H.S. Cronie. Eindhoven : Werkgemeenschap voor Informatie- en Communicatietheorie (WIC), 2007. p. 297-303.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

TY - GEN

T1 - Optimal decision fusion for verification of face sequences

AU - Tao, Q.

N1 - Conference code: 28

PY - 2007/5/24

Y1 - 2007/5/24

N2 - Face sequence contains more information of the user than a single face image. In this paper, optimal decision fusion is proposed to verify the face sequences, based on the original verification system for a single face image. We show by experiments that optimal decision fusion is a simple but effective approach, and that the performance of the original verification system can be significantly boosted by introducing face sequences and applying optimal decision fusion on them.

AB - Face sequence contains more information of the user than a single face image. In this paper, optimal decision fusion is proposed to verify the face sequences, based on the original verification system for a single face image. We show by experiments that optimal decision fusion is a simple but effective approach, and that the performance of the original verification system can be significantly boosted by introducing face sequences and applying optimal decision fusion on them.

KW - SCS-Safety

KW - IR-61880

KW - METIS-241833

KW - EWI-10857

M3 - Conference contribution

SN - 978-90-365-2509-1

SP - 297

EP - 303

BT - Proceedings of the 28th Symposium on Information Theory in the Benelux

A2 - Veldhuis, Raymond N.J.

A2 - Veldhuis, R.N.J.

A2 - Cronie, H.S.

PB - Werkgemeenschap voor Informatie- en Communicatietheorie (WIC)

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