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How AI Recognizes a Face: From Detection to Identity Match

1The Face Recognition Pipeline: Detection, Embedding, Matching
The Face Recognition Pipeline: Detection, Embedding, Matching

Aligning Before Comparing

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But a crop on its own is not enough. Take the same person twice, once straight on and once with the head tilted, and the two crops look nothing alike pixel for pixel.
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A cropped face is not yet comparable to another cropped face. The same person photographed from a different angle, distance, or head tilt produces a very different crop. Landmark alignment fixes this: the system locates key points such as the eye centers, nose tip, and mouth corners, then rotates, scales, and shifts the image so those points land in a standard position. After alignment, the same person photographed at different angles lands in the same normalized frame, which is what makes later comparison meaningful.

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