An image model based on occluding object images and maximum entropy.
This paper introduces a statistical image model based on occlusion and maximum entropy. The statistical model combines a fundamental property of image formation, occlusion, with both object-image shape and nonuniform object-image intensity. The model is a composition of individual object-images that have random positions, shapes, and intensities, and that occlude both background and one another. We derive the autocorrelation and second-order probability density functions of this model and give several examples.
Stuller
J A
JA
Department of Electrical and Computer Engineering, University of Missouri-Rolla, Rolla, MO 65409-0040, USA. stuller@ece.umr.edu
Shah
R
R