Recovering 3-D form features by a connectionist architecture

Abstract

An original approach to the recovery of 3-D shape information from 2-D images is described. The first network is an implementation of the Boundary Contour system aimed to extract a brightness gradient map from the image. The second is a backpropagation network that estimates the geometric parameters of the object parts present in the acquired scene. A description of simulations of the implemented architecture and the quite satisfactory experimental results are reported as well as the comparisons with some classic approaches to the problem.