Questions tagged [face-recognition]

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Light weight super resolution model for face detection and verification

I am looking for light weight (embedded) model for face super resolution. Despite detecting all faces in images taken from an indoor environment, I have a problem verifying tiny faces (the embedding ...
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Is it possible to add identities into existed face recognition system without re-train the NN?

I have followed some tutorials and I find out all of them could not add new faces. If a new face is added, the system would have to be retrained. This doesn't sound logical because it would waste too ...
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Does the converted (now square) distorted image of a face affect the accuracy of the calculation of the similarity in FaceNet?

As far as I know, FaceNet requires a square image as an input. MTCNN can detect and crop the original image as a square, but distortion occurs. Is it okay to feed the converted (now square) ...
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Can a face recognition system be trained using only computer generated hyper realistic faces?

In order to train a face recognition system you need to have access to a large database with thousands of photos containing different faces. Companies like facebook and amazon have these databases but ...
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Arcface implementation for image similarity produces opposite embeddings for positive negative image pairs

So I've built an arcface model with this arcface layer implementation: https://github.com/4uiiurz1/keras-arcface/blob/master/metrics.py I trained for a few epochs and now that I'm comparing the ...
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Face recognition from single image provided

I am working on a computer vision project, based on face detection to record the time spent by a person in an office. It consists of detecting the face by camera number 1 (input), temporarily storing ...
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Face detection and replacement in photos

I have 2 photos, and my goal is to detect the face in one and place it on the face of the person in the other photo- basically face detection and replacement. It's not deep fakes. It's more of a ...
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In a face database containing multiple images per subject, how do we determine the face image which is most suited for face recognition?

Let us imagine a face database with several subjects, each subject having multiple face images. How do we determine which is the best face suitable for face recognition purposes?
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What is a "center loss"?

I have seen that a center loss is beneficial in computer vision, especially in face recognition. I have tried to understand this concept from the following material A Discriminative Feature Learning ...
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What are the steps that I need to follow to build a neural network for face recognition?

I have developed face recognition algorithms by using pre-built libraries in Python and open CV. However, suppose if I want to make my own neural network algorithm for face recognition, what are the ...
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Face liveness detection using face landmark points

How to detect liveness of face using face landmark points? I am getting face landmarks from android camera frames. And I want to detect liveness using these landmark points. How to tell if a human ...
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