A normative dataset on human global stereopsis using the quick Disparity Sensitivity Function (qDSF)

• We provide a normative dataset on human disparity.
• We adapt the quick Contrast Sensitivity Function qCSF for disparity testing.
• There is a great variability in human disparity sensitivity tuning.

Global stereopsis results from the lateral displacement of distributed textured elements between the eyes. In this study, we investigate how the key parameters of the disparity sensitivity function such as its peak sensitivity and spatial bandwidth are distributed across a pool of normal observers and how large the individual differences are.For this purpose, we adapted the quick Contrast Sensitivity Function (qCSF, Lesmes et al., 2010) to the quick Disparity Sensitivity Function (qDSF). We show that this new method is accurate and allows a rapid measurement of disparity sensitivity for a range of different disparity spatial frequencies. Our results confirm that there is a greater variability in human disparity sensitivity tuning compared to other common visual features, for example, 1st or 2nd order contrast sensitivity.

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