The recent expansion in the availability, capability, and use of face recognition has been accompanied by assertions that demographic dependencies could lead to accuracy variations and potential bias. NIST conducted tests to quantify demographic differences in contemporary face recognition algorithms. This talk will present the outcomes of the study published in the report – FRVT Part 3: Demographic Effects, providing details about the recognition process, where demographic effects could occur, specific performance metrics and analyses, empirical results, and recommendations for research into the mitigation of performance deficiencies. Additionally, this talk will cover recent topics around face recognition, such as the impact of face recognition with face masks and face morphing.
Thursday, November 12, 2020 at 11:00am to 12:30pmVirtual Event
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