MODELING BIOLOGICAL DEPTH-PERCEPTION IN BINOCULAR VISION - THE LOCAL DISPARITY ESTIMATION

This paper presents an approach to solving the correspondence problem in binocular vision and to computing the local horizontal disparity ma p using a biologically inspired algorithm. A computer application was developed as a tool for implementing, developing, and testing computat ional models for stereopsis, and also as a framework for integrating t he disparity map with other perspective clues. Two models for stereops is have been implemented. One of them is biologically inspired (it mod els the behaviour of simple and complex cells from the striate cortex) and the other is the 'classical' model of David Marr and Tomaso Poggi o, implemented in order to have a comparison term for the simulation r esults. The paper details the results obtained on random-dot stereogra ms and on pairs of real images.