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Studying Geometric Optical Illusions Through The Lens Of A Convolutional Neural Network, Nick Laberge
Studying Geometric Optical Illusions Through The Lens Of A Convolutional Neural Network, Nick Laberge
CMC Senior Theses
Geometrical optical illusions such as the Muller Lyer illusion and the Ponzo illusion have been widely researched over the past 100+ years, yet researchers have not reached a consensus on why human perception is deceived by these illusions or which illusions are the results of the same effects. In this paper, I study these illusions through the lens of a convolutional neural network. First, I successfully train the network to correctly classify how a human would perceive a particular class of illusion (such as the Muller Lyer illusion), then I test the network’s ability to generalize to illusions that it …