Exact feature probabilities in images with occlusion.

ABSTRACT: To understand the computations of our visual system, it is important to understand also the natural environment it evolved to interpret. Unfortunately, existing models of the visual environment are either unrealistic or too complex for mathematical description. Here we describe a naturalistic image model and present a mathematical solution for the statistical relationships between the image features and model variables. The world described by this model is composed of independent, opaque, textured objects, which occlude each other. This simple structure allows us to calculate the joint probability distribution of image values sampled at multiple arbitrarily located points, without approximation. This result can be converted into probabilistic relationships between observable image features

SUBMITTER: Pitkow X 

PROVIDER: S-EPMC7757861 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature