Natural size-distance scaling reduces, but does not eliminate, depth matching errors from conflicting occlusion and stereopsis

Poster Presentation 26.450: Saturday, May 18, 2024, 2:45 – 6:45 pm, Pavilion
Session: 3D Perception: Depth cue integration, neural mechanisms

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Domenic Au1 (), Robert Allison1, Laurie Wilcox1; 1York University

Stereoscopic depth matching is significantly degraded when occlusion information conflicts with depth from binocular disparity. However, in these studies the visual angle of the target was held constant while in natural viewing image size changes linearly with object distance. Thus, it is not clear whether the disruption in performance can be solely attributed to the discrepant occlusion and disparity signals. Here we evaluated the combined effects of size, occlusion and binocular disparity using a depth matching paradigm in mixed-reality. The virtual stimulus was a green letter ‘A’ presented using an augmented reality display. It was superimposed on a physical surface with variable transparency fixed at 1.2 m. The target letter was placed at one of eight distances (0.9 - 1.6 m), including the surface location. The letter was rendered either with a fixed size (variable retinal angle) or with size scaled to maintain a constant visual angle. Observers matched the distance of a virtual probe to the perceived distance of the letter in three conditions where the surface was: opaque, transparent or absent. We found that depth matches were accurate and there was no effect of size scaling in both the ‘no surface’ and ‘transparent surface’ conditions. This was also the case when the letter appeared in front of the surface. However, when the letter was positioned beyond the opaque surface (maximum cue conflict) its position was systematically underestimated. Introducing correct size scaling reduced this error but did not eliminate it. In sum, when occlusion and disparity are in conflict our results show that using a fixed retinal size exacerbates depth matching errors. When retinal size varies (as in the natural world) depth matching is more accurate but significant underestimates remain. When occlusion and disparity signals are in agreement, size has little impact on performance.

Acknowledgements: Natural Sciences and Engineering Research Council