Neural representation of binocular disparity in stereo transparency: psychophysics and modeling

Abstract

In binocular vision, observers can perceive transparent surfaces by fusing the stereograms generated by overlapping two dot patterns in different depths. In the case that overlapping patterns are identical, the stereogram has the matching candidates that can generate both transparent and non-transparent (or unitary) surfaces. Here we investigate the transparency perception in this ambiguous stereogram with additional segragation cues for overlapping surfaces. We also show the population coding model with the hybrid disparity energy model can explain the psychophysical result.