A method to combine visual and infrared face image verification systems

Byung Gue Choi, Youngsung Kim, Kar Ann Toh

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
Pages440-445
Number of pages6
DOIs
Publication statusPublished - 2008 Dec 1
Event2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 - Hanoi, Viet Nam
Duration: 2008 Dec 172008 Dec 20

Publication series

Name2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008

Other

Other2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
CountryViet Nam
CityHanoi
Period08/12/1708/12/20

Fingerprint

Infrared radiation
Fusion reactions

All Science Journal Classification (ASJC) codes

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

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). [4795559] (2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008). https://doi.org/10.1109/ICARCV.2008.4795559
Choi, Byung Gue ; Kim, Youngsung ; Toh, Kar Ann. / A method to combine visual and infrared face image verification systems. 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008. 2008. pp. 440-445 (2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008).
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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 proceedingConference contribution

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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.

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Choi BG, Kim Y, Toh KA. A method to combine visual and infrared face image verification systems. In 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). https://doi.org/10.1109/ICARCV.2008.4795559