Article

A parametric texture model based on deep convolutional features closely matches texture appearance for humans

2017-07-19

Abstract excerpt

Our visual environment is full of texture—“stuff” like cloth, bark or gravel as distinct from “things” like dresses, trees or paths—and humans are adept at perceiving subtle variations in material properties. To investigate image features important for texture perception, we psychophysically compare a recent parameteric model of texture appearance (CNN model) that uses the features encoded by a deep convolutional...

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Literature Corpus work: f095c484-7c9c-53f7-9e5f-c9eee85b046c
DOI: 10.1101/165761

Open publication

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