Understanding face recognition: Caricauture effects, inversion, and the homogeneity problem

Abstract

Faces and other objects that share a configuration present a special problem to the visual system. Two components of the visual system's solution to this homogeneity problem have been identified. Inversion studies have identified the use of relational features (Diamond & Carey, 1986; Rhodes, Brake, & Atkinson, 1993), and caricature studies have identified norm-based coding (Carey, Rhodes, Diamond, & Hamilton, in preparation; Rhodes, Brennan, & Carey, 1987; Rhodes & McLean, 1990). Here we explore a possible link between these two components, asking whether caricature effects depend selectively on exaggeration of relational features. If so, then inversion, which makes relational features particularly difficult to code (compared with isolated features), should reduce caricature effects. In three experiments we found a caricature equivalence effect (caricatures identified as accurately as undistorted images and both better than anticaricatures) that was unaffected by orientation, suggesting that relational feature coding is not necessary for caricatures to be effective. Therefore, caricature and inversion effects reflect distinct components of face recognition. Caricature level and orientation also interacted differently with other factors, as would be expected if their effects depend upon different underlying processes. For one set of faces there was a caricature advantage in accuracy (Experiments 1 and 3). This superportrait effect occurred even for subjects who were unfamiliar with the faces prior to the experiment (Experiment 3), a result with important forensic implications. Furthermore, the effect was restricted to upright faces. Therefm, although caricatures can be recognized as well as undistorted images whatever features are exaggerated, exaggeration of relational features may be needed for a superportrait effect.