A face recognition system takes an input photograph and produces an identity label through three stages. Detection locates the face and crops it into a bounding box. The embedding stage converts that cropped face into a fixed-length numeric vector. The matching stage compares that vector against stored vectors and returns the closest identity. Each stage hands a specific, narrower piece of data to the next: the whole photo becomes a face crop, the face crop becomes a vector, and the vector becomes a name or a no-match result.
How AI Recognizes a Face: From Detection to Identity Match
The Face Recognition Pipeline: Detection, Embedding, Matching
Three Stages, One Flow
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A face recognition system never really compares two photographs. It takes one photo and pushes it through three stages, and each stage hands the next something smaller and more specific.
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