[Deep Learning] Face Recognition

HyunDong Lee·2021년 3월 29일
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Face verification & face recognition

  • face recognition
    • has a database of K person
    • get an input image
    • output id if the image is any of the k persons
  • face verification
    • input image, name
    • output whether the input image is that of the claimed person

One shot learning

Larning from one example to recognize the person again.

Learning a 'similarity' function
d(img1, img2) = degree of difference between images.
If d(img1, img2) <= t "same"
If d(img1, img2) > t "different"

{verification}

use softmax to classify the faces. Basically use CNN to make feature map of each faces.

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