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Face Recognition Research at IJCB 2020
In this post I review papers on face recognition that were presented at this year’s International Joint Conference on Biometrics, IJCB 2020.
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Face Recognition Research at FG 2020
This post reviews papers from the IEEE FG 2020 conference that deal with face recognition.
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Face Recognition Research in October
In this post I will briefly review some of the face recognition papers that were submitted to arXiv in October.
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Exploring Bias using NIST's FRVT
“All unbiased algorithms are alike; each biased algorithm is biased in its own way.” In this post we will see how valid Tolstoy’s quote is when applied to face recognition. There is no doubt that face recognition algorithms are biased: their accuracy is different for different population groups. In fact, it is hard to check the first part of Tolstoy’s quote, because we don’t know any unbiased algorithms. But we can investigate the second part. How does bias differ across algorithms?
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Have you heard of NCRFRILS?
Neither had I. And the police in Washington, D.C. would have preferred to keep it that way. But since NCRFRILS is an automatic face recognition system used by the police to identify protestors accused of committing acts of violence, maybe some discussion is warranted. We are seeing more and more reports of police using facial recognition technology to identify people at protests.