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  1. Identity From Variation: Representations of Faces Derived From Multiple Instances.A. Mike Burton, Robin S. S. Kramer, Kay L. Ritchie & Rob Jenkins - 2016 - Cognitive Science 40 (1):202-223.
    Research in face recognition has tended to focus on discriminating between individuals, or “telling people apart.” It has recently become clear that it is also necessary to understand how images of the same person can vary, or “telling people together.” Learning a new face, and tracking its representation as it changes from unfamiliar to familiar, involves an abstraction of the variability in different images of that person's face. Here, we present an application of principal components analysis computed across different photos (...)
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