Robustness of the New Owner-Tester Approach for Face Identification Experiments

Ho, Wai Han; Watters, Paul Andrew; Verity, Dominic R.

doi:10.1109/CVPR.2007.383397

Robustness of the New Owner-Tester Approach for Face Identification Experiments

Wai Han Ho, Paul Andrew Watters, Dominic R. Verity

CVPR 2007

doi:10.1109/CVPR.2007.383397 /cvpr/2007/ho2007cvpr-robustness/

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 Owner-Tester 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.

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Cite

Text

Ho et al. "Robustness of the New Owner-Tester Approach for Face Identification Experiments." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007. doi:10.1109/CVPR.2007.383397

Markdown

[Ho et al. "Robustness of the New Owner-Tester Approach for Face Identification Experiments." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007.](https://mlanthology.org/cvpr/2007/ho2007cvpr-robustness/) doi:10.1109/CVPR.2007.383397

BibTeX

@inproceedings{ho2007cvpr-robustness,
  title     = {{Robustness of the New Owner-Tester Approach for Face Identification Experiments}},
  author    = {Ho, Wai Han and Watters, Paul Andrew and Verity, Dominic R.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2007},
  doi       = {10.1109/CVPR.2007.383397},
  url       = {https://mlanthology.org/cvpr/2007/ho2007cvpr-robustness/}
}