Feature based prediction of the perceived and aesthetic properties of visual textures
نویسندگان
چکیده
Texture is an essential factor for human aesthetic perception. We investigate the relationship between computational texture features and the perceived and aesthetic properties of visual textures, obtained from a psychological experiment. We use linear feature selection and neural networks to extract a set of 8 texture features which are capable of predicting 6 perceived and aesthetic properties.
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