Face-Space Models of Face Recognition
Recent research into face processing has produced considerable technical and theoretical advances. For example, it is possible to generate photographic-quality color caricatures of faces, principal component analysis can be used to provide efﬁcient storage of facial images, laser scans can produce a three-dimensional model of an individual’s head that can be manipulated by use of software, a model head can be animated to appear to speak, and facial images can be “aged” by application of a mathematical algorithm. Nevertheless, the question of how we recognize faces remains extremely difﬁcult to answer with any precision. In contrast, formal models have been used successfully to account for human performance in recognizing, categorizing, and identifying artiﬁcial concepts. In this chapter the role of formal models in providing a basis for understanding our ability to recognize faces in the real world is critically evaluated.