Kevin W. Bowyer — Papers on Cortexa

arxivcs.CV2026-07-23

What Happens to Accuracy When Photo Lineups Contain Non-Mated Rank-One Images From Large Galleries?

Genesis Argueta, Kevin W. Bowyer, Michael King, Jayeeta Dhar

One-to-many facial identification is commonly used to match a probe image from surveillance video against a gallery of driver's licenses and/or booking photos. The algorithm's rank-one image from the gallery, or a human examiner's selection from the algorithm's top-ranked images,…

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arxivcs.CV2026-07-14

Rank-1 Identity Consensus Predicts Gallery Enrollment in 1:N Face Matching More Accurately than Score Thresholding

Gabriella Pangelinan, Aman Bhatta, Michael C. King, Kevin W. Bowyer

In operational 1:N face identification, a crucial question arises for each probe: is this person enrolled in the gallery or not? The stakes are high and asymmetric. Rejecting a mate-present (MP) probe loses a valid lead; accepting a mate-absent (MA) probe makes every returned can…

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