Neural network for inferring the shape of occluded objects
Ljubomir Citkusev, Lucia Maria Vaina · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1991
Two different approaches have been implemented to model the filling-in procedure for inferring the shape of occluded objects: computational and back-propagation network. The two approaches have been found to have functional similarities. The receptive fields of the units have been analyzed and an analogy with the receptive field of neurons in area V2 of visual cortex was suggested.