Abstract

This article focuses on the difficulty for a general theory of depiction of providing a notion of pictorial content that accommodates the full diversity of picture types. The article begins by introducing two basic models of pictorial content using paradigmatic positions that maximize the ability of the respective models to deal with pictorial diversity. Kulvicki's On Images is interpreted as a generalized projection-based model which proposes a scene-centred notion of pictorial content. By contrast, Lopes's aspect-recognition theory, in Understanding Pictures, is taken to exemplify a recognition-based model of pictorial content. It is then considered how applicable these two notions of pictorial content are to a spectrum of different picture types, highlighting differences between mechanically produced and “freehand” pictures. It is shown that while the projection-based and recognition-based models are each required for some picture types, neither model can be applied over the whole spectrum of diverse picture types. This, it is argued, has the far-reaching consequence that neither the projection model nor the recognition model, nor any unitary combination of the two, can provide the basis for a theory of depiction applying to all pictures