| Popis: |
Humans are highly sensitive to the structure or style of visual categories. We've shown previously that the global information retained at extremely low image resolutions is sufficient for people to detect the style of an image, and for discriminating the style of visual categories, with above chance accuracy. These findings suggest that explicit encoding of the local features in the image, or of the semantic category, is not necessary for recognising and distinguishing visual categories. In this study, we set out to determine whether people can discriminate large natural sets of images (referred to as "domains" for clarity) in which global, covariant information has been retained and where local information has been disrupted. We do this by systematically manipulating the relative location of the pixels within each image and across our three large sets of faces, birds, and paintings (https://osf.io/ncdkv). We use a discrimination task and signal detection methods to probe participants' perceptual sensitivity to the covariant structure that persists across our scrambled images. |
