Robustness of the new owner-tester approach for face identification experiments

Wai Han Ho; Paul Watters; Dominic Verity

doi:10.1109/CVPR.2007.383397

Robustness of the new owner-tester approach for face identification experiments

Wai Han Ho^*, Paul Watters, Dominic Verity

^*Corresponding author for this work

School of Computing

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

3 Citations (Scopus)

46 Downloads (Pure)

Abstract

With the broad application of face identification, it is important that the performance estimated for an algorithm using a sample can be generalized to the population performance. We proposed using an Owner-Tester setup to replace the current approach for experiments on face identification (or other biometrics and pattern recognition systems). This paper looks into the robustness of the OwnerTester setup in terms of goodness of fit and performance estimation using misidentification risk - the newly suggested performance evaluation metric. Testing results have indicated that the approach is robust in term of goodness of fit and performance estimation.

Original language	English
Title of host publication	2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'07
Editors	Patrick Flynn
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-6
Number of pages	6
ISBN (Print)	1424411807, 9781424411801
DOIs	https://doi.org/10.1109/CVPR.2007.383397
Publication status	Published - 2007
Event	2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'07 - Minneapolis, MN, United States Duration: 17 Jun 2007 → 22 Jun 2007

Other

Other	2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'07
Country/Territory	United States
City	Minneapolis, MN
Period	17/06/07 → 22/06/07

Bibliographical note

Copyright 2007 IEEE. Reprinted from Proceedings of the 2007 IEEE conference on computer vision and pattern recognition (CVPR '07). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie Universityâ€™s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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10.1109/CVPR.2007.383397

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title = "Robustness of the new owner-tester approach for face identification experiments",

abstract = "With the broad application of face identification, it is important that the performance estimated for an algorithm using a sample can be generalized to the population performance. We proposed using an Owner-Tester setup to replace the current approach for experiments on face identification (or other biometrics and pattern recognition systems). This paper looks into the robustness of the OwnerTester setup in terms of goodness of fit and performance estimation using misidentification risk - the newly suggested performance evaluation metric. Testing results have indicated that the approach is robust in term of goodness of fit and performance estimation.",

author = "Ho, {Wai Han} and Paul Watters and Dominic Verity",

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Ho, WH, Watters, P & Verity, D 2007, Robustness of the new owner-tester approach for face identification experiments. in P Flynn (ed.), 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'07., 4270395, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-6, 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'07, Minneapolis, MN, United States, 17/06/07. https://doi.org/10.1109/CVPR.2007.383397

Robustness of the new owner-tester approach for face identification experiments. / Ho, Wai Han; Watters, Paul; Verity, Dominic.
2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'07. ed. / Patrick Flynn. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2007. p. 1-6 4270395.

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

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Robustness of the new owner-tester approach for face identification experiments

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