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}
}
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200 Citations
Highly Influential Citations
9
Background Citations
102
Methods Citations
16
Results Citations
4

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Orientation variance as a quantifier of structure in texture.
  • S. Dakin
  • Environmental Science
    Spatial vision
  • 1999
TLDR
The data suggest that simple orientation statistics could drive a range of 'texture tasks', although the dependency of noise resistance on the pattern type (rotation, translation, etc.) remains to be accounted for.
Feature-based integration of orientation signals in visual search
How are local orientation signals pooled?
TLDR
Pooling of orientation information is a relatively inaccurate process for which different perceptual cues and their combination rules can be used, and parameterized the averaging process for the power parameter of the generalized mean formula.
Information limit on the spatial integration of local orientation signals.
  • S. Dakin
  • Geology
    Journal of the Optical Society of America. A, Optics, image science, and vision
  • 2001
TLDR
Results indicate that internal noise shows a primary dependence on texture density but that, counterintuitively, subjects rely on a sample size approximately equal to a fixed power of the number of samples present, regardless of their spatial arrangement.
The role of co-circularity of local elements in texture perception.
TLDR
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.
A two-stage model of orientation integration for Battenberg-modulated micro-patterns
TLDR
A novel stimulus is used to investigate how signals are combined to improve estimates of global orientation and is described by a model that filters the stimulus at the potential target orientations and then combines the signals over space in two stages.
Direct encoding of orientation variance in the visual system.
TLDR
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.
Relating spatial and temporal orientation pooling to population decoding solutions in human vision
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References

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TLDR
Orientation discrimination was measured with a yes-no signal detection procedure at two reference orientations, 90° and 45°, and showed a highly significant reference orientation factor, with smaller just noticeable differences at 90° than at 45° (theoblique effect).
Detection of orientationally multimodal textures
The detection of structure in glass patterns: Psychophysics and computational models
Texture segregation and orientation gradient
Recognition of stimulus orientation
Discrimination of orientation-defined texture edges
Cortical processing of hyperacuity tasks
Acuity for orientation measured with a sequential recognition task and signal detection methods
TLDR
An orientation recognition task with two stimuli was employed as the basis of a psychophysical method for measuring sensitivity to orientation and in both subjects employed, sensitivity was greater for horizontal and vertical orientations than for other slopes.
Sensitivity to orientation modulation in micropattern-based textures
Orientation bandwidths of spatial mechanisms measured by masking.
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TLDR
By using a model that corrects for the nonlinearity inherent in the masking process, the half-amplitude half-bandwidths of Cartesian-separable receptive fields that may underlie orientation selectivity are obtained and are shown to be consistent with subthreshold summation data as well as physiological data from monkey striate cortex.
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