Neural network for inferring the shape of occluded objects

Ljubomir Citkusev; Lucia M. Vaina

doi:10.1117/12.45517

1 March 1991 Neural network for inferring the shape of occluded objects

Ljubomir Citkusev, Lucia M. Vaina

Proceedings Volume 1468, Applications of Artificial Intelligence IX; (1991) https://doi.org/10.1117/12.45517
Event: Orlando '91, 1991, Orlando, FL, United States

Abstract

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.

Citation Download Citation

Ljubomir Citkusev and Lucia M. Vaina "Neural network for inferring the shape of occluded objects", Proc. SPIE 1468, Applications of Artificial Intelligence IX, (1 March 1991); https://doi.org/10.1117/12.45517

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