| Recognition with eigenfaces |
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| Algorithm |
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| 1. | Process the image
database (set of images with labels) |
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| • | Run PCA—compute
eigenfaces |
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| • | Calculate the K
coefficients for each image |
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| 2. | Given a new
image (to be recognized) x, calculate K coefficients |
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| 3. | Detect if x is a
face |
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| 4. | If it is a face,
who is it? |
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| • | Find closest
labeled face in database |
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| • | nearest-neighbor
in K-dimensional space |
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