A method to combine visual and infrared face image verification systems

Byung Gue Choi; Youngsung Kim; Kar Ann Toh

doi:10.1109/ICARCV.2008.4795559

A method to combine visual and infrared face image verification systems

Byung Gue Choi, Youngsung Kim, Kar Ann Toh

Department of Electrical and Electronic Engineering

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

2 Citations (Scopus)

Abstract

This paper presents a score level fusion of visual and infrared face image verification systems. A high dimensional random projection is first applied to the raw visual and infrared face images to extract useful information relevant to each identity. This is followed by a dimension reduction using eigenfeature regularization and extraction. The resultant templates are then compared for decision scores generation. Finally the scores from the visual and infrared face image verification systems are fused by an error rate minimization formulation. Our empirical observation shows encouraging results regarding the effectiveness of the fusion.

Original language	English
Title of host publication	2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
Pages	440-445
Number of pages	6
DOIs	https://doi.org/10.1109/ICARCV.2008.4795559
Publication status	Published - 2008
Event	2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 - Hanoi, Viet Nam Duration: 2008 Dec 17 → 2008 Dec 20

Publication series

Name	2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008

Other

Other	2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
Country/Territory	Viet Nam
City	Hanoi
Period	08/12/17 → 08/12/20

All Science Journal Classification (ASJC) codes

Computer Vision and Pattern Recognition
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ICARCV.2008.4795559

Cite this

Choi, B. G., Kim, Y., & Toh, K. A. (2008). A method to combine visual and infrared face image verification systems. In 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 (pp. 440-445). Article 4795559 (2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008). https://doi.org/10.1109/ICARCV.2008.4795559

@inproceedings{4d7e2c672e2848b5a3a12f1eabf739d8,

title = "A method to combine visual and infrared face image verification systems",

abstract = "This paper presents a score level fusion of visual and infrared face image verification systems. A high dimensional random projection is first applied to the raw visual and infrared face images to extract useful information relevant to each identity. This is followed by a dimension reduction using eigenfeature regularization and extraction. The resultant templates are then compared for decision scores generation. Finally the scores from the visual and infrared face image verification systems are fused by an error rate minimization formulation. Our empirical observation shows encouraging results regarding the effectiveness of the fusion.",

author = "Choi, {Byung Gue} and Youngsung Kim and Toh, {Kar Ann}",

year = "2008",

doi = "10.1109/ICARCV.2008.4795559",

language = "English",

isbn = "9781424422876",

series = "2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008",

pages = "440--445",

booktitle = "2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008",

note = "2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 ; Conference date: 17-12-2008 Through 20-12-2008",

}

Choi, BG, Kim, Y & Toh, KA 2008, A method to combine visual and infrared face image verification systems. in 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008., 4795559, 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008, pp. 440-445, 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008, Hanoi, Viet Nam, 08/12/17. https://doi.org/10.1109/ICARCV.2008.4795559

A method to combine visual and infrared face image verification systems. / Choi, Byung Gue; Kim, Youngsung; Toh, Kar Ann.
2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008. 2008. p. 440-445 4795559 (2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008).

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

TY - GEN

T1 - A method to combine visual and infrared face image verification systems

AU - Choi, Byung Gue

AU - Kim, Youngsung

AU - Toh, Kar Ann

PY - 2008

Y1 - 2008

N2 - This paper presents a score level fusion of visual and infrared face image verification systems. A high dimensional random projection is first applied to the raw visual and infrared face images to extract useful information relevant to each identity. This is followed by a dimension reduction using eigenfeature regularization and extraction. The resultant templates are then compared for decision scores generation. Finally the scores from the visual and infrared face image verification systems are fused by an error rate minimization formulation. Our empirical observation shows encouraging results regarding the effectiveness of the fusion.

AB - This paper presents a score level fusion of visual and infrared face image verification systems. A high dimensional random projection is first applied to the raw visual and infrared face images to extract useful information relevant to each identity. This is followed by a dimension reduction using eigenfeature regularization and extraction. The resultant templates are then compared for decision scores generation. Finally the scores from the visual and infrared face image verification systems are fused by an error rate minimization formulation. Our empirical observation shows encouraging results regarding the effectiveness of the fusion.

UR - http://www.scopus.com/inward/record.url?scp=64549087533&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=64549087533&partnerID=8YFLogxK

U2 - 10.1109/ICARCV.2008.4795559

DO - 10.1109/ICARCV.2008.4795559

M3 - Conference contribution

AN - SCOPUS:64549087533

SN - 9781424422876

T3 - 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008

SP - 440

EP - 445

BT - 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008

T2 - 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008

Y2 - 17 December 2008 through 20 December 2008

ER -

A method to combine visual and infrared face image verification systems

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this