Depth perception in disparity-defined objects: finding the balance between averaging and segregation.

ABSTRACT: Deciding what constitutes an object, and what background, is an essential task for the visual system. This presents a conundrum: averaging over the visual scene is required to obtain a precise signal for object segregation, but segregation is required to define the region over which averaging should take place. Depth, obtained via binocular disparity (the differences between two eyes' views), could help with segregation by enabling identification of object and background via differences in depth. Here, we explore depth perception in disparity-defined objects. We show that a simple object segregation rule, followed by averaging over that segregated area, can account for depth estimation errors. To do this, we compared objects with smoothly varying depth edges to those with sharp depth edges

SUBMITTER: Cammack P 

PROVIDER: S-EPMC4901452 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature