Computer Description of Textured Surfaces

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Describing Textures in the Wild (2013, background): “The study of perceptual attributes of textures has a long history starting from pre-attentive aspects and grouping [16], to coarse high-level attributes [1, 2, 33], to some recent work aimed at discovering such attributes by automatically mining descriptions of images from the Internet [3, 12].”
Textural Features Corresponding to Visual Perception (1978, methodology): “We readily find the directionality in the histogram ofthe Fourier power along lines through the origin, as shown by Bajcsy [3].”
Deep Filter Banks for Texture Recognition, Description, and Segmentation (2015, methodology): “Rather than collecting a new image dataset from scratch, our starting point is the excellent open surfaces (OS) dataset that was recently introduced by Bell et al. (2013).”