Faces carry key personal information about individuals, including cues to their identity, social traits, and emotional state. Much research to date has employed static images of faces taken under tightly controlled conditions yet faces in the real world are dynamic and experienced under ambient conditions. A common approach to studying key dimensions of facial variation is the use of facial caricatures. However, such techniques have again typically relied on static images, and the few examples of dynamic caricatures have relied on (...) animating graphical head models. Here, we present a principal component analysis -based active appearance model for capturing patterns of spatiotemporal variation in videos of natural dynamic facial behaviours. We demonstrate how this technique can be applied to generate dynamic anti-caricatures of biological motion patterns in facial behaviours. This technique could be extended to caricaturing other facial dimensions, or to more general analyses of spatiotemporal variations in dynamic faces. (shrink)

I examine the origins of ordinary racial thinking. In doing so, I argue against the thesis that it is the byproduct of a unique module. Instead, I defend a pluralistic thesis according to which different forms of racial thinking are driven by distinct mechanisms, each with their own etiology. I begin with the belief that visible features are diagnostic of race. I argue that the mechanisms responsible for face recognition have an important, albeit delimited, role to play in sustaining this (...) belief. I then argue that essentialist beliefs about race are driven by some of the mechanisms responsible for “entitativity perception”: the tendency to perceive some aggregates of people as more genuine groups than others. Finally, I argue that coalitional thinking about race is driven by a distinctive form of entitativity perception. However, I suggest that more data is needed to determine the prevalence of this form of racial thinking. (shrink)