The computation of orientation statistics from visual texture

@article{Dakin1997TheCO,
  title={The computation of orientation statistics from visual texture},
  author={Steven C. Dakin and Roger J. Watt},
  journal={Vision Research},
  year={1997},
  volume={37},
  pages={3181-3192}
}

Figures from this paper

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TLDR
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The results suggest that in addition to orientation difference, co-circularity plays a critical role in the perception of orientation-based textural structure, and higher sensitivity for textures made from orientation pairs with either large or small orientation differences is found.
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The present study shows that selective adaptation to low or high levels of variance results in a perceptual aftereffect that shifts the perceived level of variance of a subsequently viewed texture in the direction away from that of the adapting stimulus, suggesting that orientation variance is encoded directly by the visual system and possibly at an early cortical stage.
Integration of first- and second-order orientation.
TLDR
The problem of how visual information such as orientation is combined across space bears on key visual abiities, such as texture perception, by measuring orientation discrimination thresholds for arrays of equivisible first-order and second-order Gabors.
Discriminating Global Orientation of Two Element Sets
TLDR
Interactions between two interspersed element sets with explicit orientations are investigated, where element sets interact, where the contribution of one set, presented at a fixed rotation and fixed proportion, varies with the change to the second set.
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