September 2018
Volume 18, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2018
Binocular integration of simultaneous density contrast
Author Affiliations
  • Hua-Chun Sun
    McGill Vision Research, Department of Ophthalmology, McGill University
  • Curtis Baker
    McGill Vision Research, Department of Ophthalmology, McGill University
  • Frederick Kingdom
    McGill Vision Research, Department of Ophthalmology, McGill University
Journal of Vision September 2018, Vol.18, 621. doi:
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    • Get Citation

      Hua-Chun Sun, Curtis Baker, Frederick Kingdom; Binocular integration of simultaneous density contrast. Journal of Vision 2018;18(10):621.

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      © ARVO (1962-2015); The Authors (2016-present)

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Texture density, defined as the number of elements per unit visual area, is an important perceptual dimension that is typically studied in two-dimensions (2D) - however it is unclear how we represent texture density information in three-dimensions (3D). One study has suggested that density is represented as if projected onto a 2D plane, based on the finding that density perception is unaffected by the range of depth over which the elements are distributed (Bell, Manson, Edwards, & Meso, 2015). Here we explored the 3D properties of density coding using simultaneous density contrast (SDC), in which the perceived density of a texture region is altered by a surround of different density (Sun et al., 2016). We used a 2AFC staircase procedure in which human observers compared the perceived density of a test plus surround with a match having no surround. We first manipulated the stereo-disparity of the surround plane systematically from near to far relative to the center plane (Experiment 1), and from a small to a large range of random depths (Experiment 2). We found weaker SDC when the center and surround planes were separated in depth, and when the surround dots were distributed across a large depth range. However these binocular SDC effects were found only for dense not sparse surrounds. We also measured SDC with center and surround presented dichoptically, monoptically and binocularly (Experiment 3). Strong interocular transfer of SDC was found in the dichoptic condition, in line with previous evidence showing interocular transfer of density adaptation (Durgin, 2001). Our data suggest that binocular information influences texture density processing, challenging the previous view of a solely 2D representation of texture density.

Meeting abstract presented at VSS 2018


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