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- W4288596239 abstract "Illusions are fascinating and immediately catch people's attention and interest, but they are also valuable in terms of giving us insights into human cognition and perception. A good theory of human perception should be able to explain the illusion, and a correct theory will actually give quantifiable results. We investigate here the efficiency of a computational filtering model utilised for modelling the lateral inhibition of retinal ganglion cells and their responses to a range of Geometric Illusions using isotropic Differences of Gaussian filters. This study explores the way in which illusions have been explained and shows how a simple standard model of vision based on classical receptive fields can predict the existence of these illusions as well as the degree of effect. A fundamental contribution of this work is to link bottom-up processes to higher level perception and cognition consistent with Marr's theory of vision and edge map representation." @default.
- W4288596239 created "2022-07-29" @default.
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- W4288596239 date "2019-02-07" @default.
- W4288596239 modified "2023-09-24" @default.
- W4288596239 title "Informing Computer Vision with Optical Illusions" @default.
- W4288596239 doi "https://doi.org/10.48550/arxiv.1902.02922" @default.
- W4288596239 hasPublicationYear "2019" @default.
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