title: A common visual metric for approximate number and density.
abstract: There is considerable interest in how humans estimate the number of objects in a scene in the context of an extensive literature on how we estimate the density (i.e., spacing) of objects. Here, we show that our sense of number and our sense of density are intertwined. Presented with two patches, observers found it more difficult to spot differences in either density or numerosity when those patches were mismatched in overall size, and their errors were consistent with larger patches appearing both denser and more numerous. We propose that density is estimated using the relative response of mechanisms tuned to low and high spatial frequencies (SFs), because energy at high SFs is largely determined by the number of objects, whereas low SF energy depends more on the area occupied by elements. This measure is biased by overall stimulus size in the same way as human observers, and by estimating number using the same measure scaled by relative stimulus size, we can explain all of our results. This model is a simple, biologically plausible common metric for perceptual number and density.
authors: Institute of Ophthalmology, University College London, London EC1V 9EL, United Kingdom. s.dakin@ucl.ac.uk
authors: Steven C
authors: SC
authors: Dakin
authors: Marc S
authors: MS
authors: Tibber
authors: John A
authors: JA
authors: Greenwood
authors: Frederick A A
authors: FA
authors: Kingdom
authors: Michael J
authors: MJ
authors: Morgan
mesh_terms: D000465:Algorithms; D004192:Discrimination, Psychological / Q000502:physiology; D005556:Form Perception / Q000502:physiology*; D006801:Humans; D008960:Models, Psychological; D010364:Pattern Recognition, Visual / Q000502:physiology*; D011581:Psychological Tests; D011594:Psychometrics / Q000379:methods*; D013647:Task Performance and Analysis; D014796:Visual Perception / Q000502:physiology*