How does PCA relate to eigenfaces in computer vision?

Eigenfaces are PCA components applied to facial image datasets for recognition.

In eigenfaces, each face image is treated as a high-dimensional vector. PCA extracts principal components that represent facial variation patterns. These components can reconstruct faces and enable recognition by comparing projections in PCA space.