Brain imaging studies suggest that expert object recognition is a distinct visual skill, implemented by a dedicated anatomic pathway. Like all visual pathways, the expert recognition pathway begins with the early visual system (retina, LGN/SC, striate cortex). It is defined, however, by subsequent diffuse activation in the lateral occipital cortex (LOC), and sharp foci of activation in the fusiform gyrus and right inferior frontal gyrus. This pathway recognizes familiar objects from familiar viewpoints under familiar illumination. Significantly, it identifies objects at both the categorical and instance (subcategorical) levels, and these processes cannot be disassociated. This paper presents a four-stage functional model of the expert object recognition pathway, where each stage models one area of anatomic activation. It implements this model in an end-to-end computer vision system, and tests it on real images to provide feedback for the cognitive science and computer vision communities.