RECOVERING 3-D FORM FEATURES BY A CONNECTIONIST ARCHITECTURE

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 Bo undary 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 c omparisons with some classic approaches to the problem.