How to evaluate face verification performance?
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I have a FACE RECOGNITION software in my PC, and I am going to evaluate its performance in VERIFICATION process.
The software permits the user to choose a similarity threshold in %, and the number of matched faces to be shown at the end of the process.
I am going to use ROC curve method to detect the value of EER (equal error rate) for the software.
My questions are:
1- How to calculate the values of "True Acceptance Rate" and "False Acceptance Rate" at each threshold?
I know that TAR=TA/(TA+FR) and FAR=FA/(FA+TR), but how should I compute each of these quantites" TA, FA ,TR, FR?
2- Should I enroll face images of N persons, or just the face images of the person under investigation?
Thanks in advance.
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도움말 센터 및 File Exchange에서 Face Detection에 대해 자세히 알아보기
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